Parsons Corporation received a Success Memo from the U.S. Department of War’s Environmental Security Technology Certification Program (ESTCP) and Defense Innovation Unit (DIU) for removing PFAS from soil across the United States.
A Success Memo is similar to a sole source contract in that it enables Government buyers to pursue follow-on production contracts without additional competitive procedures.
Parsons’ patented Thermal Conduction Heating (TCH) technology quickly removes PFAS to below laboratory reporting limits from impacted soil, offering a fast and effective on-site solution.
This approval positions Parsons to support government-led PFAS cleanup efforts with a proven remediation solution.
CHANTILLY, Va., Oct. 21, 2026 (GLOBE NEWSWIRE) — Parsons Corporation (NYSE: PSN) announced today that it received federal approval from the U.S. Department of War’s (DOW) Environmental Security Technology Certification Program (ESTCP) and Defense Innovation Unit (DIU) for the remediation of per- and polyfluoroalkyl substances (PFAS) impacted soil. Now any federal agency can quickly leverage Parsons’ patented thermal conduction heating (TCH) technology, accelerating PFAS cleanup projects.
PFAS are persistent chemicals that can migrate through soil and groundwater, creating concerns for surrounding ecosystems and nearby communities. As public awareness and regulatory attention continue to grow, fast and effective cleanup is increasingly important to reduce long-term risk, protecting community health, and restoring confidence in impacted sites.
“PFAS impacts remain a significant environmental challenge, and our government clients trust Parsons to deliver effective remedial solutions with speed and confidence,” said Mark Fialkowski, President of Infrastructure North America. “This approval reinforces that trust and strengthens our ability to help agencies address PFAS impacts with a proven technology, quickly and cost effectively and reflects our ability to bring our global portfolio of integrated solutions to customers we already work closely with in other important mission areas.”
Parsons demonstrated its TCH technology under a competitive ESTCP prototype project, where the company removed PFAS to below laboratory reporting limits from impacted soil on-site. This project provided a more sustainable solution by eliminating the transportation and offsite disposal of large amounts of contaminated material to landfills or disposal facilities, saving time and reducing environmental impacts, liability, and risk to people and the environment.
Parsons’ Environmental Remediation Solutions Parsons has decades of experience delivering environmental solutions that help government and commercial clients address complex contamination challenges and protect community health. Our PFAS remediation expertise includes developing and deploying advanced treatment technologies, including Thermal Conduction Heating, AFFF Cleanout Services, UV PFAS Destruction, and Hot In Situ Chemical Oxidation. By combining technical knowledge, proven field execution, and innovative remediation approaches, Parsons helps clients accelerate cleanup, reduce long-term environmental risk, and restore sites for safe and productive use.
About Parsons: Parsons (NYSE: PSN) is a leading disruptive technology provider in the national security and global infrastructure markets, with capabilities across cyber and electronic warfare, space and missile defense, transportation, water and environment, urban development, and critical infrastructure protection. Please visit Parsons.com and follow us on LinkedIn to learn how we’re making an impact.
The Port MacKenzie Rail Extension will link directly to Nova Minerals’ antimony refinery site and include a rail siding on site
Figure 2.
The Mat Su Borough infrastructure developments – Port MacKenzie rail spur, West Susitna Access Road, Port upgrades, barge haul out and handling, and power transmission
Figure 3.
Nova Minerals CEO Christopher Gerteisen (left) with Senator Dan Sullivan (right) at the Port MacKenzie Rail Extension funding announcement in Port MacKenzie, Alaska, October 19, 2026.
Anchorage, Alaska, Oct. 21, 2026 (GLOBE NEWSWIRE) — Nova Minerals Corp (“Nova Minerals” or the “Company”) (NYSE American: NVA | ASX: NVA) welcomes the U.S. Government’s $249 million investment to complete the final stages of the Port MacKenzie Rail Extension, providing a key transportation link intended to support the development and movement of critical minerals within the region.
The funding will deliver a new the 32-mile rail line connecting Port MacKenzie, Alaska, to the Alaska Railroad Corporation’s main line (Figure 1).
Nova Minerals’ direct rail siding at Port Mackenzie will enable shipments of antimony and other critical minerals ore and concentrate feedstock to seamlessly move from the Alaskan interior and the region directly to its planned antimony and critical minerals processing and refining hub at Port MacKenzie via the new rail extension (Figure 2).
Nova Minerals CEO Christopher Gerteisen joined Secretary of the U.S. Department of Transport Sean Duffy, US Senator for Alaska Dan Sullivan, and US Representative for Alaska Nick Begich, US House Natural Resouces Committee Chairman Rep. Bruce Westerman, and Matsu Borough Mayor Edna Devries, for the announcement at Port MacKenzie on October 19 (Figure 3).
Highlights
U.S. Department of Transportation Secretary Sean Duffy announced $249 million federal grant for completion of the final stages of the Port MacKenzie Rail Extension. The award covers around 80 percent of the $311 million project, with state and local partners contributing the remaining $62 million.
The Extension will link Alaska Railroad Corporation’s main line with Port MacKenzie, home to Nova’s planned antimony processing and refining facility, while enhancing transportation access for resource development projects across Alaska and the region.
This commitment is the latest in a series of infrastructure investments in the region, including $7.8 million to enhance the port’s capacity for barge haul-out and loading operations, $34 million investment to support the expansion of the port, multi-billion funding commitments by Asian offtake partners to advance the Alaska LNG project recently announced by the Trump administration, and progress accelerating with funding, permitting, and studies completed in support of near term development of the West Susitna Access Road Project which tie into Nova Minerals Estelle Gold and Critical Minerals Project.
“We are going to move this grant at Trump speed,” Secretary Duffy said.
“What that means is we want to get this out by spring. We want to be turning dirt. Alaska is America’s natural resource powerhouse, but the state needs strong infrastructure to get those resources from point A to point B safely, reliably and efficiently,” Secretary Duffy said.
“Thanks to President Trump and the entire Alaska delegation, we’re building a massive new rail supply line that will power the energy and critical mineral projects of the future. This landmark investment will generate an economic boom for the region, unleash American energy dominance, and enhance our national security.”
Senator Sullivan said this was another important step toward unlocking Alaska’s extraordinary mineral resource potential.
“Alaska has enormous deposits of critical minerals, world-class energy projects, and a strategic location at the crossroads of the world. But having these resources isn’t enough. We need the infrastructure to develop them responsibly and get them to market,” Senator Sullivan added.
Nova Minerals CEO, and Port MacKenzie Commission Vice-Chair Christopher Gerteisen joined representatives from the U.S. and Alaskan Governments, the Borough, and Port McKenzie for the announcement
“Port Mackenzie is a commodity port, the export-import gateway for Alaska minerals and resources to reach US and global markets. This is yet another step forward to deliver the infrastructure necessary for critical minerals projects in Alaska to get their product to market quickly and for equipment and supplies to build and operate projects in Alaska to enter and distribute across our State as efficiently as possible,” Mr Gerteisen said.
“Nova Minerals will directly benefit from the speed and efficiency enabled by the Port MacKenzie Rail Extension, with our planned antimony processing and refining facility situated directly along the extension rail line.
“These infrastructure developments are creating the foundations needed to support future critical minerals and mining projects across Alaska. Upgrades to the ports, roads, and power throughout the Mat Su region mean projects like Nova’s Estelle Gold and Critical Minerals site can get into production cheaper and faster. Upgrades to port, transportation and power infrastructure across the Mat-Su region are helping create the conditions needed to advance major resource projects, including Nova’s Estelle Gold and critical minerals developments which has been a first mover and established itself as an anchor industry within the commercial industrial zone Port district.
“Nova’s antimony facility will form part of the United States’ first modern, secure, fully integrated antimony supply chain in decades – from mine to end users in defense, technology and other advanced applications supporting both national and economic security.”
Figure 1. The Port MacKenzie Rail Extension will link directly to Nova Minerals’ antimony refinery site and include a rail siding on site
Figure 2. The Mat Su Borough infrastructure developments – Port MacKenzie rail spur, West Susitna Access Road, Port upgrades, barge haul out and handling, and power transmission
Figure 3. Nova Minerals CEO Christopher Gerteisen (left) with Senator Dan Sullivan (right) at the Port MacKenzie Rail Extension funding announcement in Port MacKenzie, Alaska, October 19, 2026.
About Nova Minerals Corp
Nova Minerals Corp is advancing one of the world’s largest undeveloped gold deposits into production and securing a US domestic supply of the critical mineral antimony. The Company is focused on the exploration and development of the Estelle Gold and Critical Minerals Project, located in Alaska, a tier-one mining jurisdiction.
Estelle hosts two defined multi-million-ounce gold resources, and more than 20 prospects distributed along a 35-kilometre mineralized trend, in the prolific Tintina Gold Belt, a province which hosts a >220 million ounce (Moz) documented gold endowment and some of the world’s largest gold mines and discoveries including Kinross Gold Corporation’s Fort Knox Gold Mine. In parallel, Nova is advancing its critical minerals strategy, fully-funded by a $43.4 million U.S. Department of War award to develop a domestic antimony supply chain, targeted for production in 2027.
Further discussion and analysis of the Estelle Project is available through the interactive Vrify 3D animations, presentations, and videos, all available on the Company’s website www.novamineralscorp.com.
Forward Looking Statements
This press release contains “forward-looking statements” within the meaning of Section 27A of the Securities Act, and Section 21E of the Exchange Act which are subject to the “safe harbor” created by those sections. All statements, other than statements of historical fact, contained in this press release are forward-looking statements and that are subject to substantial risks and uncertainties. Forward-looking statements contained in this press release may be identified by the use of words such as “anticipate,” “believe,” “contemplate,” “could,” “estimate,” “expect,” “intend,” “seek,” “may,” “might,” “plan,” “potential,” “predict,” “project,” “target,” “aim,” “should,” “will,” “would,” or the negative of these words or other similar expressions, although not all forward-looking statements contain these words. Forward-looking statements are based on Nova Minerals Corp’s current expectations and are subject to inherent uncertainties, risks and assumptions that are difficult to predict. Further, certain forward-looking statements are based on assumptions as to future events that may not prove to be accurate. Forward-looking statements contained in this announcement are made as of this date, and Nova Minerals Corp undertakes no duty to update such information except as required under applicable law.
PUBLIC DEALING DISCLOSURE BY AN EXEMPT PRINCIPAL TRADER WITH RECOGNISED INTERMEDIARY STATUS DEALING IN A CLIENT-SERVING CAPACITY Rule 8.5 of the Takeover Code (the “Code”)
1. KEY INFORMATION
(a) Name of exempt principal trader:
Investec Bank plc
(b) Name of offeror/offeree in relation to whose relevant securities this form relates: Use a separate form for each offeror/offeree
Pollen Street Group Limited
(c) Name of the party to the offer with which exempt principal trader is connected:
Investec is Joint Broker to Pollen Street Group Limited
(d) Date dealing undertaken:
20th October 2026
(e) In addition to the company in 1(b) above, is the exempt principal trader making disclosures in respect of any other party to this offer? If it is a cash offer or possible cash offer, state “N/A”
N/A
2. DEALINGS BY THE EXEMPT PRINCIPAL TRADER
Where there have been dealings in more than one class of relevant securities of the offeror or offeree named in 1(b), copy table 2(a), (b), (c) or (d) (as appropriate) for each additional class of relevant security dealt in.
The currency of all prices and other monetary amounts should be stated.
(a) Purchases and sales
Class of relevant security
Purchases/ sales
Total number of securities
Highest price per unit paid/received
Lowest price per unit paid/received
Ordinary shares
Purchases
5,795
905
901.5
(b) Cash-settled derivative transactions
Class of relevant security
Product description e.g. CFD
Nature of dealing e.g. opening/closing a long/short position, increasing/reducing a long/short position
(d) Other dealings (including subscribing for new securities)
Class of relevant security
Nature of dealing e.g. subscription, conversion
Details
Price per unit (if applicable)
N/A
N/A
N/A
N/A
3. OTHER INFORMATION (a) Indemnity and other dealing arrangements
Details of any indemnity or option arrangement, or any agreement or understanding, formal or informal, relating to relevant securities which may be an inducement to deal or refrain from dealing entered into by the exempt principal trader making the disclosure and any party to the offer or any person acting in concert with a party to the offer: Irrevocable commitments and letters of intent should not be included. If there are no such agreements, arrangements or understandings, state “none”
None
(b) Agreements, arrangements or understandings relating to options or derivatives
Details of any agreement, arrangement or understanding, formal or informal, between the exempt principal trader making the disclosure and any other person relating to: (i) the voting rights of any relevant securities under any option; or (ii) the voting rights or future acquisition or disposal of any relevant securities to which any derivative is referenced: If there are no such agreements, arrangements or understandings, state “none”
None
Date of disclosure:
21st October 2026
Contact name:
Abhishek Gawde
Telephone number:
+91-9923757332
Public disclosures under Rule 8 of the Code must be made to a Regulatory Information Service.
The Panel’s Market Surveillance Unit is available for consultation in relation to the Code’s dealing disclosure requirements on +44 (0)20 7638 0129.
Tuesday, 3 November 2026 at 11.00 – 12.00am CET In connection with the publication of Coloplast’s financial results for FY 2025/26, to be released same day around 07.30 am CET, Coloplast will host a conference call to present the financial results and answer questions from investors and financial analysts. A presentation will be available on Coloplast’s website approximately 1 hour before the conference call. The webcast of the conference call will be available during and after the event.
Coloplast will be represented by: Gavin Wood – President & CEO Anders Lonning-Skovgaard –Executive Vice President, CFO Aleksandra Dimovska – Vice President, Investor Relations Kristine Husted Munk – Senior Director, Investor Relations Nicklas Overgaard – Senior Manager, Investor Relations
Webcast For participants who do not wish to actively participate in the Q&A session, please access the conference call as a webcast via the link below: Access the webcast here
Dial-in details To actively participate in the Q&A session, please sign up ahead of the conference call on the link below to receive an email with dial-in details. Register for the conference call here
WUHU, China, Oct. 21, 2026 (GLOBE NEWSWIRE) — LUXEED, Chery Group’s luxury new energy vehicle brand, concluded its Global Media Test Drive on October 20 as part of the 2026 Chery International User Summit. Automotive journalists and key opinion leaders (KOLs) from multiple countries and regions completed a 185-kilometer test drive in LUXEED’s flagship MPV, LLOUNGE, and high-performance SUV, STORMAX.
The route linked urban roads, intercity expressways, winding mountain roads and a professional proving ground, giving participating media the opportunity to evaluate LUXEED across intelligent driving assistance, chassis performance, cabin comfort and dynamic handling. Together, these driving environments showcased the brand’s approach to intelligent luxury, combining advanced technology, refined comfort and engaging performance.
Intelligent Navigation: Connected Driving Assistance and Smart-Cabin Technology
Before departure, participating media witnessed a demonstration of Super Intelligent Valet Parking (SIVP), highlighting LUXEED’s intelligent parking capabilities as part of a broader driving experience that extends from departure and highway travel to parking.
Leaving Chery International Headquarters in Wuhu, the media convoy moved from urban roads onto intercity expressways, where both LLOUNGE and STORMAX demonstrated their Navigate on Autopilot (NOA) systems. Using multi-sensor perception and algorithm-based motion planning, NOA supports adaptive cruising, lane centering, dynamic speed adjustment, navigation-guided lane changes and overtaking maneuvers within its operating parameters. On the expressway, the system adjusted speed and planned trajectories in response to changing traffic conditions, helping reduce the demands of long-distance driving while supporting a more relaxed journey.
The vehicles’ smart-cabin technologies also drew attention from participating media. Equipped with an AI large language model, the voice interaction system supports rapid recognition and natural-language dialogue in multiple languages, allowing occupants to adjust navigation, climate settings and cabin modes through voice commands. Multi-screen interaction, together with the high-definition head-up display (HUD), makes key driving information readily accessible, helping drivers stay informed while keeping their attention on the road.
Composed Mountain-Road Handling: Dual-Chamber Air Suspension and ±7° Rear-Wheel Steering Work in Concert
After leaving the expressway, the convoy entered the mountain roads of Jishan Bamboo Sea. With undulating surfaces, successive curves and tight hairpin bends, the route tested the vehicles’ suspension tuning and handling stability.
LUXEED vehicles feature a front double-wishbone and rear multi-link independent suspension architecture, supported by coordinated tuning of the Dual-Chamber Air Suspension, Dual-Valve Continuous Damping Control (CDC) shock absorbers and Vehicle Motion Control (VMC) system. Together, these technologies are designed to balance body control with vibration isolation, helping maintain stability through tight corners and during rapid lane changes while reducing body roll.
The addition of ±7° Rear-Wheel Steering further enhances maneuverability. By allowing the rear wheels to steer, the system helps these large vehicles navigate narrow mountain roads and tight bends with greater agility. The resulting combination of responsive handling and a composed ride gave journalists an opportunity to experience how LUXEED balances driving confidence with passenger comfort.
A Refined Lakeside Retreat: Design, Comfort and Immersive Sound
Midway through the drive, the convoy stopped at Lakeside Café, where the natural surroundings offered an opportunity to explore the vehicles’ design and cabin features at closer range.
LLOUNGE’s distinctive starry grille, high-gloss chrome detailing and interactive welcome light carpet contrasted with STORMAX’s wide, low-slung stance, 1.26 design ratio and L-shaped headlights. In the lakeside light, the two models presented distinct interpretations of LUXEED’s design language.
Inside, both vehicles combine carefully selected materials with comfort-focused technology. LLOUNGE creates a first-class cabin experience with full-grain perforated Nappa leather seats and mechanical massage functions. Its two second-row zero-gravity seats recline to 123° and are complemented by four-way power leg rests and independent electric footrests, offering occupants a place to relax between driving sessions.
LLOUNGE also features Privacy Acoustic Shield mode, 12 acoustic glass panes and a 33-speaker sound system designed to evoke the atmosphere of a concert hall. Together, these features help create a quieter, more private cabin with an immersive audio experience.
STORMAX pairs dual front zero-gravity seats with a four-way motorized central display and 16-point seat massage. Concealed double-layer sunshades and dual-layer acoustic laminated glass further help manage incoming light and reduce external noise, bringing together technology and comfort in a driver-focused cabin.
Track Performance: STORMAX Puts Power and Handling to the Test
The final stage of the test drive took place at Guangde Proving Ground, where STORMAX was put through a series of dynamic evaluations on the high-speed oval and dedicated handling courses.
Built on an 800V high-voltage battery-electric vehicle (BEV) architecture, STORMAX features a dual-motor all-wheel-drive (AWD) powertrain producing a maximum output of 460 kW and peak torque of 775 Nm. Engaging one-touch Boost mode increases torque by 10%, according to the vehicle’s specifications. STORMAX accelerates from 0 to 100 km/h in under 3.9 seconds and can reach speeds exceeding 250 km/h on the high-speed oval.
During 100–0 km/h braking tests, the vehicle’s six-piston fixed-caliper braking system and staggered tire setup delivered a stopping distance of under 34 meters.
Further evaluations included the moose test at speeds exceeding 82 km/h, slalom maneuvers and skidpad exercises. STORMAX’s active rear diffuser and 10 aerodynamic air ducts work alongside its electronic chassis control system to support aerodynamic performance and precise vehicle control through demanding maneuvers.
Across the 185-kilometer route, the test drive brought LUXEED’s three brand pillars—Extreme Driving Pleasure, Beyond-Class Enjoyment, and Ultimate Intelligence—to life through a combination of intelligent driving assistance, considered cabin design and dynamic performance.
Through the experience shared by international media, LUXEED aims to introduce a wider global audience to its approach to intelligent luxury, demonstrating how technology, comfort and driving enjoyment can come together across a diverse range of real-world driving scenarios.
Media Contact
LUXEED International Ms. Wu Yi Email: wuyi@luxeedinternational.com
Photos accompanying this announcement are available at
NVIDIA Advances Isaac Platform for General-Purpose Robotics
NVIDIA today announced a major expansion of the NVIDIA Isaac open robotics development platform, adding a reference humanoid, datasets and runtime, along with updates to its robot learning framework.
News Summary:
Agile Robots announces Agile ONE SN, a humanoid reference platform built on NVIDIA Isaac GR00T and NVIDIA Jetson Thor with planned integration of the NVIDIA Halos safety stack, giving developers and researchers a complete platform for frontier humanoid development and validation.
NVIDIA Isaac platform adds new Isaac OS runtime, Isaac Lab 3.0 for robot learning and open source reference workflows that combine ChatGPT Astra with NVIDIA Isaac and Cosmos on NVIDIA DGX Station to accelerate robot data generation, training and evaluation.
Europe’s robotics ecosystem, including leaders like ABB Robotics, Flexion, Hexagon Robotics, Humanoid, KUKA, NEURA Robotics, Sereact and Universal Robots, is building on NVIDIA’s open robotics platform to advance autonomous robotic systems.
Together, these technologies give developers an integrated path from data to deployment to bring general-purpose robots to the real-world faster.
“General-purpose robotics is advancing at extraordinary speed — the ChatGPT moment for robotics is fast approaching,” said Jensen Huang, founder and CEO of NVIDIA. “With NVIDIA Isaac, our full-stack open robotics platform, we are giving developers the models, data, simulation tools and computing systems to bring physical AI to the world’s largest industries.”
Agile ONE SN — A Frontier Humanoid Reference Platform for Research Agile Robots announced Agile ONE SN, a full-stack reference humanoid preconfigured with NVIDIA Isaac GR00T and powered by the NVIDIA Jetson Thor™ edge AI platform.
Robotics researchers and developers often struggle to integrate the separate simulation, training and deployment tools needed to take robot skills from development to the physical world. Agile ONE SN unifies these tools and workflows on a single platform, cutting setup time from weeks to days.
Agile ONE SN features:
Agile ONE S humanoid body, standing 1.40 meters (4.59 feet tall) and weighing 40 kilograms (88 pounds), with 31 degrees of freedom and a 3-kilogram payload per arm.
Dual WUJI Hand 2 five-finger hands, each offering 20 degrees of freedom, 1kHz force control and tactile sensing for dexterous manipulation
NVIDIA Jetson Thor onboard compute, delivering 2,070 FP4 teraflops of compute and 128GB of unified memory for onboard reasoning and real-time control.
Multimodal sensing, including head and wrist cameras, lidar sensors and inertial measurement units to help the robot perceive and interact with its surroundings.
NVIDIA Isaac GR00T platform, which comprises the GR00T foundation model, a full workflow from data capture to deployment and whole-body control for coordinated movement.
Safety capabilities, with planned integration of on-robot safety protocols with the NVIDIA Halos full-stack safety system for robotics.
“The breakthrough for humanoids is usefulness at scale: one adaptable machine that learns many skills and works across environments built for people,” said Zhaopeng Chen, founder and CEO of Agile Robots. “Today, Agile Robots introduced Agile ONE SN, a full-stack, open reference humanoid built on NVIDIA Isaac GR00T, powered by Jetson Thor, giving developers a ready system to create, train and validate the capabilities needed to put humanoids to work.”
Scheduled to be available in early 2027, Agile ONE SN is designed to advance frontier humanoid research and development, with interest from leading institutions such as Stanford University and ETH Zurich.
New NVIDIA Technology Accelerate Robot Learning — From Data to Deployment New NVIDIA technologies help developers generate training data, scale robot learning, build simulation environments and deploy robot applications, reducing time to solution.
SimReady Central Library offers more than 2,000 simulation-ready robotics and factory assets, while the Human 1M Dataset includes diverse human activities, synchronized three-view video and 3D hand tracking. Both are available on Hugging Face, with the full Human 1M Dataset accessible to Cosmos Coalition partners.
NVIDIA Isaac Lab 3.0 is now generally available, providing an open source, agent-ready learning framework training and refining robot policies from desktop to data center using multi-GPU workflows and physics engines including Newton and NVIDIA PhysX™.
NVIDIA Isaac OS, an open source runtime framework built on NVIDIA Holoscan, connects AI, sensors, controls and robot hardware for deterministic, real-time performance from simulation to physical robots.
NVIDIA is releasing three open source reference workflows for NVIDIA DGX Station™ that help developers refine GR00T 1.7 models with reinforcement learning, train dexterous manipulation skills in NVIDIA Isaac Lab and post-train NVIDIA Cosmos™ world models for synthetic data generation using ChatGPT Astra.
NVIDIA Halos provides a full-stack safety platform built on NVIDIA IGX Thor™ to help move autonomous vehicles and robots from development to safer real-world deployment at scale.
NVIDIA’s open source robot learning reference workflows running on DGX Station will be supported by solutions from 1X, Agile Robots, Humanoid, Maven Robotics, Mentee, MicroAGI, Rhoda, Sereact and Skild AI.
Robotics partners are integrating NVIDIA Halos within their safety architectures, including Agile Robots, Agility, Dexory, FORT Robotics and KION for warehouse robot safety. SICK is evaluating Halos to advance dynamic safety for industrial robots, helping them respond to changing conditions beyond fixed zones.
Advantech and NexCOBOT are developing NVIDIA IGX-based industrial computing platforms, while Reynolds & Moore, Accenture and TÜV SÜD are accelerating the certification process for the safe deployment of industrial physical AI.
European Robotics Leaders Build on NVIDIA Open Technologies ABB Robotics is integrating NVIDIA Omniverse™ libraries with RobotStudio HyperReality to simulate and virtually commission robotic systems before installation across a wide range of industries. KUKA Group is using Omniverse libraries in its Visual Components FactoryLens to add real-time rendering for factory simulation workflows. Sereact is using Isaac GR00T with Cosmos Transfer to train and post-train its Cortex platform for goods handling, running on Universal Robots industrial robot arms.
Using Jetson Thor, Holoscan Sensor Bridge, Halos and NVIDIA Isaac OS, Humanoid is developing and validating robot behaviors before industrial pilots, Hexagon Robotics is building AEON perception capabilities including teleoperation video, localization, mapping and object pose detection, and Bear Robotics is accelerating KR1 perception and model execution while post-training Isaac GR00T through Kino-2 for warehouse, returns and industrial workflows.
Toyota Material Handling Europe and SoftServe use Omniverse and the NVIDIA Isaac Sim™ framework to develop autonomous material-handling solutions, reducing deployment time by up to 50%. Idealworks is using NVIDIA open models and Jetson to develop memory capabilities for autonomous mobile robots in factories. Analog Devices Inc. (ADI) is using NVIDIA Jetson AGX Orin™ and the cuVSLAM library to build autonomous mobile robots.
Hugging Face and Pollen Robotics are using NVIDIA Isaac Lab, Isaac Sim and Newton to build Microduck, a small, open source robot designed to help developers and students train, modify and share new physical behaviors. Franka Robotics is using NVIDIA NIM™ microservices and Isaac Sim to turn natural-language requests into actions on its Franka FR3 Duo robot system. Bellboy is using Jetson and GR00T to power Billie, its first robot teammate built on Bellboy’s physical AI infrastructure, already deployed at hotels operated by Marriott, Hilton, IHG and OYO.
Flexion is using Isaac Lab and Newton to scale learning for Reflect, its unified robot intelligence model combining reasoning and whole-body movement for complex manipulation across robot bodies. Schaeffler is contributing its actuator technology as an exclusive foundational component for Newton, helping accelerate humanoid robot development with NVIDIA Isaac Lab and Isaac Sim.
NEURA Robotics is using Isaac Sim and Isaac Lab to generate synthetic training data and train robot skills in simulation for Neuron AI, its multimodal foundation model.
About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.
For further information, contact: Paris Fox Corporate Communications NVIDIA Corporation press@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: expectations with respect to growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments, and related trends and drivers; expectations with respect to advances in general-purpose robotics and the adoption and deployment of physical AI across industries; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on NVIDIA’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.
PUBLIC DEALING DISCLOSURE BY AN EXEMPT PRINCIPAL TRADER WITH RECOGNISED INTERMEDIARY STATUS DEALING IN A CLIENT-SERVING CAPACITY Rule 8.5 of the Takeover Code (the “Code”)
1. KEY INFORMATION
(a) Name of exempt principal trader:
Investec Bank Plc
(b) Name of offeror/offeree in relation to whose relevant securities this form relates: Use a separate form for each offeror/offeree
SThree Plc
(c) Name of the party to the offer with which exempt principal trader is connected:
Investec is Joint Broker to SThree Plc
(d) Date dealing undertaken:
20th October 2026
(e) In addition to the company in 1(b) above, is the exempt principal trader making disclosures in respect of any other party to this offer? If it is a cash offer or possible cash offer, state “N/A”
N/A
2. DEALINGS BY THE EXEMPT PRINCIPAL TRADER
Where there have been dealings in more than one class of relevant securities of the offeror or offeree named in 1(b), copy table 2(a), (b), (c) or (d) (as appropriate) for each additional class of relevant security dealt in.
The currency of all prices and other monetary amounts should be stated.
(a) Purchases and sales
Class of relevant security
Purchases/ sales
Total number of securities
Highest price per unit paid/received
Lowest price per unit paid/received
Ordinary shares
Purchase
6,143
301
300
Ordinary shares
Sales
4,645
298
298
(b) Cash-settled derivative transactions
Class of relevant security
Product description e.g. CFD
Nature of dealing e.g. opening/closing a long/short position, increasing/reducing a long/short position
(d) Other dealings (including subscribing for new securities)
Class of relevant security
Nature of dealing e.g. subscription, conversion
Details
Price per unit (if applicable)
N/A
N/A
N/A
N/A
3. OTHER INFORMATION
(a) Indemnity and other dealing arrangements
Details of any indemnity or option arrangement, or any agreement or understanding, formal or informal, relating to relevant securities which may be an inducement to deal or refrain from dealing entered into by the exempt principal trader making the disclosure and any party to the offer or any person acting in concert with a party to the offer: Irrevocable commitments and letters of intent should not be included. If there are no such agreements, arrangements or understandings, state “none”
None
(b) Agreements, arrangements or understandings relating to options or derivatives
Details of any agreement, arrangement or understanding, formal or informal, between the exempt principal trader making the disclosure and any other person relating to: (i) the voting rights of any relevant securities under any option; or (ii) the voting rights or future acquisition or disposal of any relevant securities to which any derivative is referenced: If there are no such agreements, arrangements or understandings, state “none”
None
Date of disclosure:
21st October 2026
Contact name:
Abhishek Gawde
Telephone number:
+91-9923757332
Public disclosures under Rule 8 of the Code must be made to a Regulatory Information Service.
The Panel’s Market Surveillance Unit is available for consultation in relation to the Code’s dealing disclosure requirements on +44 (0)20 7638 0129.
European Mobility Leaders Build on NVIDIA Hyperion
NVIDIA today announced that leading automakers in Europe and mobility providers, including Bolt with Lucid, Mercedes-Benz, Volkswagen Commercial Vehicles and Einride, are showcasing selected autonomous-mobility use cases on the NVIDIA Hyperion computing platform, demonstrating potential applications for level 3 and level 4 vehicles as well as future robotaxi fleets.
News Summary:
Bolt with Lucid, Mercedes-Benz, Volkswagen Commercial Vehicles and Einride are showcasing selected autonomous-mobility use cases on the NVIDIA Hyperion computing platform, demonstrating potential applications for level 3 and level 4 vehicles as well as future robotaxi fleets, with Volvo Cars adopting Hyperion and NVIDIA Alpamayo Stack for safe automated driving.
NVIDIA introduces Halos SAFE, a new framework within the NVIDIA Halos safety system, which combines simulation and physical testing to help developers generate measurable, traceable AV safety evidence.
NVIDIA announces Alpamayo 2 Edge, Alpamayo Agentic Factory and new Cosmos 3 Nano model variants to help developers build, customize and evaluate autonomous-driving for diverse vehicles, operating conditions and regions.
BERLIN, Oct. 21, 2026 (GLOBE NEWSWIRE) — GTC Berlin — NVIDIA today announced that leading automakers in Europe and mobility providers, including Bolt with Lucid, Mercedes-Benz, Volkswagen Commercial Vehicles and Einride, are showcasing selected autonomous-mobility use cases on the NVIDIA Hyperion computing platform, demonstrating potential applications for level 3 and level 4 vehicles as well as future robotaxi fleets.
In addition, Volvo Cars is adopting Hyperion and NVIDIA Alpamayo Stack software for safe automated driving. NVIDIA also introduced new AI and safety technologies to help developers build, validate and deploy autonomous vehicles (AVs) at scale.
Autonomous transportation represents a multitrillion-dollar opportunity, with robotaxis leading the move to commercial level 4 deployment. NVIDIA Hyperion and the NVIDIA Halos full-stack safety system give automakers and mobility providers the computing performance, safety foundation and long-term support to bring AVs and robotaxi fleets to market at scale.
“Robotaxis are the first mass-market application of robotics and physical AI, reinventing how people and goods move,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA Hyperion, together with our Halos safety operating system, gives our partners a full-stack robotaxi platform designed to achieve full autonomy and the highest levels of safety, bringing us closer to a future where everything that moves is autonomous.”
Mobility Leaders in Europe Build on NVIDIA Hyperion Automakers and mobility providers in Europe are pursuing various paths to autonomy, from passenger vehicles and robotaxi fleets to autonomous freight trucks. NVIDIA Hyperion’s modular architecture supports all of these programs, compatible with NVIDIA Alpamayo Stack autonomous driving software as well as partners’ own driving software.
Bolt has selected NVIDIA Alpamayo Stack for its European robotaxi program, beginning with future Lucid vehicles built on Hyperion. Bolt and NVIDIA will adapt the software for European roads and integrate it into vehicles from multiple manufacturers, combining NVIDIA’s driving and safety technologies with Bolt’s fleet-management systems, operations and local market expertise.
Bolt plans to begin gathering real-world driving data to support the development and validation of the autonomous driving technology — subject to regulatory approval — in Madrid in 2027, with Germany being a priority for future deployment as part of a planned European rollout of at least 25,000 level 4-capable future Lucid vehicles built on NVIDIA Hyperion.
At GTC Berlin, Volkswagen Commercial Vehicles is presenting its autonomous ID. Buzz AD vehicle platform with Hyperion to support multiple autonomous-driving systems. Hyperion provides a common computing and sensor architecture designed to simplify integration and validation, helping developers and mobility operators bring robotaxi and commercial transport services to market.
Volvo Cars is combining its industry-leading vehicle safety systems and engineering expertise with Hyperion, Halos OS and Alpamayo Stack to enable future Volvo cars to safely navigate complex real-world environments from door to door.
Mercedes-Benz is extending its partnership with NVIDIA on Hyperion and Alpamayo Stack to support the development of the automaker’s L3 and L4 capabilities. The company also announced that MB.DRIVE ASSIST PRO, developed in partnership with NVIDIA, will soon get approval for urban point-to-point urban driver assistance in Germany, helping drivers navigate journeys through complex city traffic.
Beyond passenger vehicles and robotaxis, Einride is building its next-generation Einride Driver on Hyperion for autonomous freight trucks, using Halos, Alpamayo and NVIDIA Cosmos™ open world models to develop and validate its driving system, while TIER IV and the Technical University of Munich plan to integrate Hyperion to develop and validate systems for autonomous public transportation in Germany.
NVIDIA technology and manufacturing partners are also helping expand the AV ecosystem, with Aptiv, Valeo and Schaeffler building Hyperion-based computing platforms that can be integrated by vehicle manufacturers for L4 AVs and robotaxis.
Scaling Safe Autonomy With NVIDIA Halos Halos provides the safety foundation for NVIDIA’s AV platform, bringing together AI computing, safety software and validation from development through deployment.
To give developers repeatable ways to evaluate driving behavior and simulation accuracy, NVIDIA today introduced Halos SAFE — the Safety Assurance Framework for Evaluation — with dSPACE, IVEX and TÜV Rheinland collaborating on evaluation workflows. Halos SAFE connects simulation, software- and hardware-in-the-loop evaluation, on-road testing and fleet monitoring through defined scenarios, tests and measurable performance criteria to generate traceable safety evidence that supports deployment.
The Halos SAFE ecosystem also includes JLR, Mercedes-Benz, Volvo Cars, 51Sim, aiMotive, AVL, Deepen AI, Foretellix and Synopsys.
Accelerating AV Development Developing AVs means teaching AI to handle the diversity of real-world driving, then bringing that intelligence into the vehicle. NVIDIA’s latest models, tools and blueprints help developers prepare driving data, improve models and evaluate performance:
Alpamayo 2 Edge, a 2-billion-parameter reasoning model built on NVIDIA Cosmos 3 Edge’s NVIDIA Nemotron™-based foundation, is optimized for the NVIDIA DRIVE AGX Thor™ platform and designed to run at 10Hz for in-vehicle scene understanding and motion planning.
AlpaJudge, a human-calibrated evaluation and reward model, scores driving explanations to assess reasoning quality, filter weak annotations and reduce manual review of training data.
Foundation4D labels multicamera video without lidar input, supporting perception-model training and NVIDIA Omniverse™ NuRec scene reconstruction.
New Cosmos 3 Nanomodel variants expand synthetic data generation and closed-loop simulation for autonomous driving through synchronized multiview, multi-camera and lidar generation across diverse driving scenarios.
Cosmos Data Factory’s AV dataset-generation blueprint turns driving video and vehicle signals into curated, searchable, labeled data, using synthetic data to expand scenario coverage.
Alpamayo Agentic Factory, an open blueprint expected to become available in early 2027, uses AI agents to connect data preparation, model post-training and simulation evaluation, reducing integration work.
NVIDIA NIM™ microservices for Alpamayo 1.5 and NuRec Harmonizer deliver both models as optimized inference containers, giving AV reasoning and scene harmonization a simplified deployment path.
Uber and NVIDIA are developing a data factory powered by Cosmos to curate and process data for AV development. The effort is part of a broader partnership spanning AI development infrastructure, Hyperion-based vehicles and Uber’s global ride-hailing network.
Porsche is leading the development of a data flywheel workflow across Volkswagen Group brands through Voxel51, using NVIDIA Cosmos Data Factory and Omniverse NuRec on Microsoft Azure to turn fleet data into datasets and simulations for evaluating autonomous-driving models. This is expected to reduce repeated physical test drives by up to 90% and shorten development cycle duration by up to 85%.
About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.
For further information, contact: Corporate Communications NVIDIA Corporation press@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: expectations with respect to growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners, and their plans to develop and deploy autonomous vehicles and robotaxi fleets, and related timing; expectations with respect to technology developments, and related trends and drivers; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on NVIDIA’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.
Healthcare and Life Sciences Leader Build on NVIDIA
NVIDIA today announced collaborations with leading global healthcare and research organizations to advance protein design — including through a newly released open model, RFD4-Proteina — accelerate drug discovery and bring greater precision to cancer care.
News Summary:
NVIDIA and the UW Medicine Institute for Protein Design debut RFD4-Proteina, a new open model that combines programmable protein design with search capabilities, unlocking new frontiers in biology.
Siemens Healthineers is advancing the next generation of adaptive radiotherapy, using NVIDIA intelligence to increase access to life-saving cancer care with agentic co-planning, patient-specific simulation and robotic control.
Automata, Benchling, Biolevate, Boltz, Danaher, Hologen and Therna Biosciences are using the NVIDIA BioNeMo open platform to develop scientific agents that connect drug design, autonomous laboratories and biological discovery, helping researchers move from hypothesis to experiments faster.
BERLIN, Oct. 21, 2026 (GLOBE NEWSWIRE) — GTC Berlin—NVIDIA today announced collaborations with leading global healthcare and research organizations to advance protein design — including through a newly released open model, RFD4-Proteina — accelerate drug discovery and bring greater precision to cancer care.
Life sciences researchers must search vast biological design spaces and aim to shorten the cycle between computational design and laboratory testing to discover new medicines. Cancer care teams face a different challenge: translating complex imaging and treatment data into precise plans for each patient.
NVIDIA open models, accelerated computing and physical intelligence can help experts evaluate more possibilities faster, from designing new proteins to planning adaptive radiotherapy.
“Agentic and physical AI are opening new possibilities across medicine, from designing proteins and powering autonomous laboratories to improving personalized cancer care,” said Kimberly Powell, vice president of healthcare at NVIDIA. “Together with healthcare and life science leaders, we’re accelerating scientific discovery and advancing more precise, accessible care around the world.”
NVIDIA and the UW Institute for Protein Design Introduce RFD4-Proteina Proteins are molecular tools that perform many of life’s essential tasks, and designing new versions could open paths to new medicines, diagnostics and industrial applications. But finding a protein capable of performing a designed function requires searching an immense range of possible designs.
NVIDIA and the UW Medicine Institute for Protein Design are debuting RFD4-Proteina, a new NVIDIA BioNeMo™ open model that combines programmable protein design with search capabilities.
The model generates targeted protein designs, enabling scientists and agents to search and refine designs using molecular inputs, constraints and scoring objectives. Potential applications include designing proteins to interrupt disease processes or detect signs of disease in diagnostic tests.
In testing reported in the research draft, RFD4-Proteina achieved higher computational design success rates and generation throughput than the evaluated baselines across four benchmark suites: protein binding, small-molecule binding, enzyme scaffolding and DNA binding. The model helps researchers explore and prioritize candidates for laboratory testing, where experiments establish how a design performs under tested conditions.
“We are moving from an era of discovering the proteins nature has made to one in which we can design entirely new ones,” said David Baker, 2024 Nobel Laureate in chemistry and director of the Institute for Protein Design at the University of Washington. “RFD4-Proteina expands what scientists can create, from proteins that could advance drug discovery to enzymes that break down pesticides. Making the model open will allow researchers around the world to build on these capabilities and pursue solutions once beyond the reach.”
RFD4-Proteina is available today through partners including Amazon Bio Discovery, Anthropic’s Claude Science, Benchling, Databricks, Google Cloud, Hugging Face, Nebius, OpenAI and Tamarind Bio, enabling researchers and developers to integrate the open protein design model into agent, cloud and scientific computing workflows.
Siemens Healthineers Advances Cancer Care With NVIDIA Siemens Healthineers and NVIDIA are collaborating to develop the next generation of adaptive radiotherapy with agentic and robotic intelligence, combining imaging and oncology expertise with accelerated computing and simulation to simplify workflows and expand access to care.
By 2050, approximately 35 million people worldwide are projected to be diagnosed with cancer each year. Care teams face growing pressure to deliver precise, personalized treatment while managing limited specialist capacity. Greater efficiency can help expand access to care while maintaining the precision needed to deliver prescribed doses to tumors and protect surrounding healthy tissue.
Siemens Healthineers is working with NVIDIA to further develop adaptive radiotherapy through agentic co-planning, patient-specific simulation and real-time computing. NVIDIA Nemotron™ open foundation models are being explored to power agentic co-planning, with the aim of helping oncologists evaluate and refine personalized treatment strategies. The models could then be combined with NVIDIA CUDA®-accelerated dose calculation for rapid patient-specific simulation and the NVIDIA Holoscan platform to connect live sensor data with AI and simulation to support adaptive treatment.
“Adaptive radiotherapy is built on a single principle: treatment should adapt to the patient, not the other way around,” said Arthur Kaindl, head of Varian, the Siemens Healthineers cancer-care business. “We’ve made important advances in precision and adaptation — most recently, with the launch of the Accela system. Our collaboration with NVIDIA builds on that progress, exploring how AI and real-time computing could give clinicians greater speed and insight to make informed decisions, adapt treatment with greater confidence and deliver personalized care to more patients.”
Scientific Agents Advance Drug Discovery and Development Life sciences is one of the world’s most important scientific frontiers, with global scientific R&D reaching $3.8 trillion and annual pharmaceutical budgets approaching $300 billion.
Scientific agents and autonomous laboratories can help turn more of that investment into evidence, insight and, ultimately, new treatments by connecting design, experimentation and learning in a continuous cycle.
To accelerate discovery and free up scientists for work only they can do, research and laboratory technology companies are using NVIDIA BioNeMo — an open development platform that enables AI-driven biology and drug discovery — alongside Nemotron and other NVIDIA technologies to develop scientific agents and the specialized models and tools that connect drug design, scientific data and laboratory workflows:
Benchling is grounding agents in experimental data, research context and connected scientific workflows.
Biolevate is connecting biological data, specialized scientific tools and agentic reasoning across drug discovery and development.
Boltz is developing specialized models and tools that scientific agents can use to predict molecular structures and design and evaluate candidates. It is also previewing a scientific agent to plan workflows, apply the right models and interpret results to guide the next experiment.
Automata is connecting scientific agents with automated laboratory infrastructure so they can initiate experiments and capture structured, contextualized results through workflows.
Genedata’s AI co-scientist will coordinate protein design and testing in the protein design foundry within Danaher’s autonomous lab. The workflow will incorporate RFD4-Proteina, helping scientists use experimental results to guide the next round of designs.
Hologen is combining its large medicine models with NVIDIA Nemotron to build AI clinical scientists that help researchers turn imaging and clinical data into insights about patient outcomes to inform clinical trial design.
Therna Biosciences is using large language model reasoning to connect experimental evidence and RNA medicine design, helping scientists turn biological insights into therapeutic candidates.
NVIDIA Open Models Streamline Hospital Operations, Expand Access to Specialized Care Healthcare systems across Europe are working to expand access to specialized care while reducing the administrative demands on already-stretched care teams.
Avelios, Corti, Dedalus, Dawn Health and Sword are also building on NVIDIA Nemotron, powering everything from AI scribes and AI-assisted clinical care to personalized patient support services.
PolyAI is building on NVIDIA Agent Toolkit to speed the path to care through its multilingual dialog deployment with medical software provider Corilus, which has a network spanning more than 70,000 healthcare professionals across Belgium and France.
Apian and VitVio are extending this into the physical world, using NVIDIA Cosmos™ world models and NVIDIA Omniverse™ libraries to build digital twins that monitor and improve hospital operations.
About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.
For further information, contact: Janette Ciborowski Corporate Communications NVIDIA Corporation press@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: expectations with respect to growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments, and related trends and drivers; expectations with respect to advances in medicine and life sciences through AI and accelerated computing, including connecting design and experimentation and improving patient care; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on NVIDIA’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.
Leading global telecom operators are expanding NVIDIA-powered computing across their networks to deliver advanced services closer to people and businesses, improve wireless experience and automate network operations.
News Summary:
Leading global telecom operators are expanding NVIDIA-powered computing across their networks to deliver advanced services closer to people and businesses, improve wireless experience and automate network operations.
T-Mobile completes the world’s first AI-RAN call on a commercial network, while BT, Deutsche Telekom and Elisa announce AI-RAN pilots on live networks using Nokia’s CUDA-accelerated anyRAN software on NVIDIA Aerial RAN Computer, and NVIDIA introduces new Aerial RAN Computer configurations for high-capacity sites.
Nine EMEA telecom operators are building and expanding NVIDIA-powered infrastructure across centralized and distributed locations.
Operators and software partners are adopting NVIDIA Nemotron open models to deliver agentic services and develop agents for autonomous network operations.
BERLIN, Oct. 21, 2026 (GLOBE NEWSWIRE) — GTC Berlin — NVIDIA today announced that leading global telecom operators are turning their networks into distributed intelligence platforms, adding NVIDIA accelerated computing to centralized data centers, metro sites and cell sites so they can serve models and applications closer to the people, businesses and machines that use them.
T-Mobile has completed the world’s first AI-RAN call on a live network in Bellevue, Washington, with NVIDIA and Nokia. Deutsche Telekom is advancing physical AI for industries, and Orange is introducing new voice intelligence services for enterprises and emergency responders. Elisa has completed Europe’s first field trial of AI-RAN, running voice, mobile data and vision AI together on a single accelerated computing platform over 5G, and BT is preparing live AI-RAN trials in the U.K. Nokia is bringing its anyRAN software on NVIDIA Aerial RAN Computer (ARC) for trials at BT, Deutsche Telekom, Elisa and Orange.
Nine operators across Europe, the Middle East and Africa (EMEA) are building or expanding NVIDIA-powered infrastructure, while Nokia and Cisco are incorporating NVIDIA Nemotron™ open models into the software operators use to run autonomous networks.
“Telecom networks were built to carry the world’s conversations. Now, they will also carry the world’s intelligence,” said Jensen Huang, founder and CEO of NVIDIA. “Leading global operators are turning their land, power and connectivity into a distributed AI infrastructure — bringing intelligence closer to the industries, people and robots that use it. With Nokia, we’re extending accelerated computing into the radio network itself, creating the foundation for AI-native 5G.”
Intelligence is built in five layers: land, power and shell, chips, infrastructure, models and applications. Telecom operators already own sovereign infrastructure at the first layer, with data centers, regional sites and cell sites that have power, fiber and spectrum.
By adding NVIDIA accelerated computing, open models and applications on top, operators are building the full intelligence stack into their networks. At distributed sites, a common converged platform based on the AI-RAN architecture can serve open models, power robotics, voice and agentic applications, and run intelligent 5G software.
Europe’s Leading Telcos Build Distributed Infrastructure Infrastructure sits at the foundation of telecom’s transition to distributed service platforms.
Deutsche Telekom plans to expand its NVIDIA-powered Industrial AI Cloud, which hosts open models — including NVIDIA Nemotron and Soofi — and serves robotics companies such as Agile Robots. At distributed sites, Deutsche Telekom is piloting AI-RAN trials with Nokia and NVIDIA, and demonstrating NVIDIA ARC to run inference between the device and the network edge.
A GTC Berlin demonstration with Agile Robots shows the approach: on-robot intelligence handles real-time perception and action, a model at the distributed edge supports fine-tuning and coordination across robots, and the central infrastructure provides capacity for larger training workloads.
Orange is hosting open models, including NVIDIA Nemotron, as a managed service on top of its Live Intelligence trusted AI platform, enabling new advanced services for enterprises. At distributed sites, Orange is deploying NVIDIA ARC for voice intelligence applications using Nemotron Speech, demonstrating new services to help emergency and field services teams translate across multiple languages in real time with low latency and reliability.
Elisa has deployed NVIDIA ARC at a distributed network location, running a voice intelligence application that serves as an enterprise assistant, and is using open models to build edge applications.
EMEA telcos are building or expanding NVIDIA-powered infrastructure:
New infrastructure: CRA in the Czech Republic, etisalat in the United Arab Emirates, Silknet in Georgia and TIM in Italy.
AI-RAN Brings Accelerated Computing Into the Radio Network AI-RAN extends accelerated computing into the radio access network (RAN), turning it into an intelligence workload that runs on the same platform as advanced services, so operators can get more out of their spectrum while serving demand from sites close to users.
Globally, nearly 20 telecom operators have publicly announced AI-RAN collaborations using Nokia anyRAN software and NVIDIA ARC.
T-Mobile recently marked the world’s first AI-RAN call on its commercial network in Bellevue, Washington, running on commercial ARC servers, Nokia’s NVIDIA CUDA-accelerated RAN software and massive multiple-input multiple-output radios, and connected to an existing 5G Standalone core and a commercial smartphone.
BT is planning live AI-RAN trials in Birmingham, England, with Nokia and NVIDIA in 2027.
Deutsche Telekom has validated Nokia and NVIDIA’s commercial AI-RAN platform in Bonn and Oulu labs, including AI-enhanced uplink channel estimation to improve uplink user throughput, with plans to move to field trials in 2027.
Elisa simultaneously ran voice, mobile data and video analytics on the NVIDIA ARC platform, marking a European first in Elisa’s over-the-air field environment using 5G spectrum. The trial clears the way for distributed deployment and commercial AI-RAN services in 2027.
Orange is testing Nokia 5G software on NVIDIA ARC, focusing on AI-RAN spectral efficiency improvements and support for edge services in live networks.
Open Models Power Autonomous Network Operations Leading telcos are using open models and agents to speed progress toward fully autonomous network operations. NVIDIA Nemotron open models and NVIDIA Agent Toolkit software are now integrated into leading partners’ commercial software, powering specialized agents built for telecom network workflows.
Nokia is integrating NVIDIA Nemotron into its Autonomous Networks Suite and using NVIDIA Agent Toolkit software to build and deploy trusted agents that manage operations across fixed, radio, core and transport networks.
Cisco has fine-tuned NVIDIA Nemotron models and integrated them into Crosswork AI, creating a common agentic layer across its Crosswork Network Automation software to manage IP and optical transport networks. The company is also using NVIDIA Agent Toolkit to help telcos operate agents safely.
TCS is working with telcos to fine-tune NVIDIA Nemotron models and use NVIDIA Agent Toolkit to build specialized agents that validate radio-site builds, detect, diagnose and auto-remediate network issues, and deliver multilingual voice experiences. BT is adopting Nemotron to build agents that inspect field-installation photos, detect problems and help reduce repeat site visits.
NTT DATA is extending its NextGenOSS platform with fine-tuned NVIDIA Nemotron models and NVIDIA Agent Toolkit to build agents that detect early network degradation, identify likely root causes and recommend next actions.
About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.
For further information, contact: Olivia Wright Corporate Communications NVIDIA Corporation press@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: expectations with respect to growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners, and related trials, deployments and timing; expectations with respect to technology developments, and related trends and drivers; expectations with respect to the transformation of telecommunications networks into distributed computing platforms and related benefits; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on NVIDIA’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.
