Month: September 2026

Addressing data requirements for large model inference and AI agents to expand opportunities for all-flash server sales and technical services revenue

NEW YORK, Sept. 30, 2026 (GLOBE NEWSWIRE) — AGM Group Holdings Inc. (NASDAQ: AGMH, “AGM Group” or the “Company”) today outlined its business development plans for AI inference and AI agent applications. Building on its previously disclosed storage chip procurement plans and the commencement of mass production and deliveries of all-flash servers, the Company intends to advance product adaptation for specific applications, customer validation and expanded product deliveries to expand revenue opportunities from AI infrastructure hardware sales and technical services.

On February 5, 2026, the Company announced a strategic procurement initiative for enterprise-grade NAND flash memory and associated controller chips to support the development of its AI all-flash storage servers. On September 3, 2026, it disclosed that mass production and deliveries of all-flash servers had commenced. The current business priorities focus on further applying these supply chain and systems engineering capabilities to enterprise AI deployment scenarios.

Focusing on Data Infrastructure for AI Inference and Agent Applications

As enterprises deploy large models for knowledge retrieval, business analytics and AI agent applications, activities such as model loading, access to enterprise knowledge bases and the recording of application activity create differing requirements for data access speed, reliability and storage costs. The Company believes that providing validated storage and server solutions for these scenarios represents a business opportunity in the AI infrastructure market.

AGM intends to evaluate all-flash server configurations and software adaptations for these scenarios, with a focus on validating concurrent data access, stability during continuous operation and deployment costs. These optimizations are intended to help customers organize and access the data required by AI applications more effectively. Specific performance characteristics and suitability for particular use cases will be subject to actual testing and customer validation.

Extending from Storage Chip Selection to Server System Delivery

The Company intends to advance the coordinated selection and integration of enterprise-grade NAND flash memory, storage controllers and server architectures. Together with firmware, storage management software and thermal design, these components are intended to support product configurations for different AI application requirements. Chip supply stability, system compatibility and per-unit delivery costs will be priorities for subsequent procurement and product optimization.

AGM’s hardware engineering experience in ASIC design and specialized computing equipment provides a foundation for evaluating chip and system co-design. At this stage, the chip-related work proposed for its AI business primarily involves the selection, procurement, adaptation and system integration of storage components.

Expanding Revenue Opportunities through Product Deliveries and Technical Services

The Company intends to pursue technical discussions, product validation and commercial negotiations based on the deployment requirements of enterprise customers and computing service providers, and to schedule production and deliveries against confirmed orders. It aims to gradually expand its AI hardware business through sales of complete servers and associated systems.

Beyond hardware deliveries, AGM intends to evaluate the integration of deployment support, performance tuning and ongoing technical support into customer solutions, seeking follow-on service opportunities after equipment sales. Pricing arrangements and financial contributions from these services will depend on customer requirements and final contract terms.

As customers expand their AI deployments, additional capacity, system upgrades and maintenance support may increase each customer’s purchasing requirements over the equipment lifecycle. The Company will focus on order conversion, actual deliveries, repeat purchases, project gross profit and cash collections to assess the quality of business growth. Revenue contributions will depend on actual contract performance and recognition under applicable accounting standards.

Management Commentary

Dr. Bo Zhu, Chief Executive Officer of AGM Group Holdings Inc., commented:

“As AI moves from model development into enterprise applications, customers are paying closer attention to deployment costs, data access efficiency and the operational stability of the overall infrastructure. We aim to apply AGM’s hardware engineering experience to these specific needs and provide customers with practical solutions that span storage chip selection, system design and product delivery.

“Our next priorities are customer validation, conversion of opportunities into confirmed orders and delivery execution. As server sales and related services develop, we aim to increase the revenue contribution from our AI business and provide investors with greater visibility into our business direction and growth potential through verifiable commercial progress.”

As projects progress, the Company intends to provide timely updates on validated product configurations and application testing results, customer collaborations and orders that can be disclosed, as well as deliveries and related revenue developments. These business plans do not constitute quantitative revenue or profit guidance.

About AGM Group

AGM Group Holdings Inc. (NASDAQ: AGMH) is a technology company engaged in high-performance hardware and computing equipment. Its business encompasses ASIC design, specialized computing equipment, and AI storage and server solutions. For more information, please visit https://agmhgroup.com/.

Forward Looking Statements

This announcement contains forward-looking statements, including statements regarding AI inference and AI agent applications, chip procurement and system integration, product adaptation, customer validation, order conversion, deliveries at scale, service models and future revenue contributions. These statements are based on current expectations and involve known and unknown risks and uncertainties.

Actual results may differ materially due to factors including the progress of technology and product validation, chip supply and pricing, funding and working capital requirements, customer purchasing decisions, market competition, production costs, delivery and collection performance, applicable laws and regulations, and other risks disclosed in the Company’s filings with the U.S. Securities and Exchange Commission. The Company undertakes no obligation to publicly update any forward-looking statements, except as required by law.

Investor Relations Contact

AGM Group Holdings Inc.
Email: ir@agmhgroup.com
Website: https://agmhgroup.com/

Addressing data requirements for large model inference and AI agents to expand opportunities for all-flash server sales and technical services revenue

NEW YORK, Sept. 30, 2026 (GLOBE NEWSWIRE) — AGM Group Holdings Inc. (NASDAQ: AGMH, “AGM Group” or the “Company”) today outlined its business development plans for AI inference and AI agent applications. Building on its previously disclosed storage chip procurement plans and the commencement of mass production and deliveries of all-flash servers, the Company intends to advance product adaptation for specific applications, customer validation and expanded product deliveries to expand revenue opportunities from AI infrastructure hardware sales and technical services.

On February 5, 2026, the Company announced a strategic procurement initiative for enterprise-grade NAND flash memory and associated controller chips to support the development of its AI all-flash storage servers. On September 3, 2026, it disclosed that mass production and deliveries of all-flash servers had commenced. The current business priorities focus on further applying these supply chain and systems engineering capabilities to enterprise AI deployment scenarios.

Focusing on Data Infrastructure for AI Inference and Agent Applications

As enterprises deploy large models for knowledge retrieval, business analytics and AI agent applications, activities such as model loading, access to enterprise knowledge bases and the recording of application activity create differing requirements for data access speed, reliability and storage costs. The Company believes that providing validated storage and server solutions for these scenarios represents a business opportunity in the AI infrastructure market.

AGM intends to evaluate all-flash server configurations and software adaptations for these scenarios, with a focus on validating concurrent data access, stability during continuous operation and deployment costs. These optimizations are intended to help customers organize and access the data required by AI applications more effectively. Specific performance characteristics and suitability for particular use cases will be subject to actual testing and customer validation.

Extending from Storage Chip Selection to Server System Delivery

The Company intends to advance the coordinated selection and integration of enterprise-grade NAND flash memory, storage controllers and server architectures. Together with firmware, storage management software and thermal design, these components are intended to support product configurations for different AI application requirements. Chip supply stability, system compatibility and per-unit delivery costs will be priorities for subsequent procurement and product optimization.

AGM’s hardware engineering experience in ASIC design and specialized computing equipment provides a foundation for evaluating chip and system co-design. At this stage, the chip-related work proposed for its AI business primarily involves the selection, procurement, adaptation and system integration of storage components.

Expanding Revenue Opportunities through Product Deliveries and Technical Services

The Company intends to pursue technical discussions, product validation and commercial negotiations based on the deployment requirements of enterprise customers and computing service providers, and to schedule production and deliveries against confirmed orders. It aims to gradually expand its AI hardware business through sales of complete servers and associated systems.

Beyond hardware deliveries, AGM intends to evaluate the integration of deployment support, performance tuning and ongoing technical support into customer solutions, seeking follow-on service opportunities after equipment sales. Pricing arrangements and financial contributions from these services will depend on customer requirements and final contract terms.

As customers expand their AI deployments, additional capacity, system upgrades and maintenance support may increase each customer’s purchasing requirements over the equipment lifecycle. The Company will focus on order conversion, actual deliveries, repeat purchases, project gross profit and cash collections to assess the quality of business growth. Revenue contributions will depend on actual contract performance and recognition under applicable accounting standards.

Management Commentary

Dr. Bo Zhu, Chief Executive Officer of AGM Group Holdings Inc., commented:

“As AI moves from model development into enterprise applications, customers are paying closer attention to deployment costs, data access efficiency and the operational stability of the overall infrastructure. We aim to apply AGM’s hardware engineering experience to these specific needs and provide customers with practical solutions that span storage chip selection, system design and product delivery.

“Our next priorities are customer validation, conversion of opportunities into confirmed orders and delivery execution. As server sales and related services develop, we aim to increase the revenue contribution from our AI business and provide investors with greater visibility into our business direction and growth potential through verifiable commercial progress.”

As projects progress, the Company intends to provide timely updates on validated product configurations and application testing results, customer collaborations and orders that can be disclosed, as well as deliveries and related revenue developments. These business plans do not constitute quantitative revenue or profit guidance.

About AGM Group

AGM Group Holdings Inc. (NASDAQ: AGMH) is a technology company engaged in high-performance hardware and computing equipment. Its business encompasses ASIC design, specialized computing equipment, and AI storage and server solutions. For more information, please visit https://agmhgroup.com/.

Forward Looking Statements

This announcement contains forward-looking statements, including statements regarding AI inference and AI agent applications, chip procurement and system integration, product adaptation, customer validation, order conversion, deliveries at scale, service models and future revenue contributions. These statements are based on current expectations and involve known and unknown risks and uncertainties.

Actual results may differ materially due to factors including the progress of technology and product validation, chip supply and pricing, funding and working capital requirements, customer purchasing decisions, market competition, production costs, delivery and collection performance, applicable laws and regulations, and other risks disclosed in the Company’s filings with the U.S. Securities and Exchange Commission. The Company undertakes no obligation to publicly update any forward-looking statements, except as required by law.

Investor Relations Contact

AGM Group Holdings Inc.
Email: ir@agmhgroup.com
Website: https://agmhgroup.com/

TORONTO, Sept. 30, 2026 (GLOBE NEWSWIRE) — Centerra Gold Inc. (“Centerra” or the “Company”) (TSX: CG) (NYSE: CGAU) will release its third quarter 2026 operating and financial results after the market closes on Thursday October 29, 2026. The Company will host a conference call and webcast to discuss the results on Friday October 30, 2026, at 9:00 a.m. Eastern Time. Details for the conference call and webcast are included below.

Webcast

• Participants can access the webcast at the following webcast link.
• An archive of the webcast will be available until the end of day on January 30, 2027.

Conference Call

• Participants can register for the conference call at the following registration link. Upon registration, you will receive the dial-in details and a unique PIN to access the call. This process will bypass the live operator and avoid the queue. Registration will remain open until the end of the live conference call.
• Participants who prefer to dial in and speak with a live operator can access the call by dialing 1-833-821-3536 or 647-846-2628. It is recommended that you call 10 minutes before the scheduled start time.
• After the call, an audio recording will be made available via telephone for one month, until the end of day November 30, 2026. The recording can be accessed by dialing 1-855-669-9658 or 412-317-0088 and using the access code 7065248. In addition, the webcast will be archived on Centerra’s website at www.centerragold.com/investor-relations/events-and-presentations/
• Presentation slides will be available on Centerra’s website at www.centerragold.com.

About Centerra Gold

Centerra Gold Inc. is a Canadian-based gold and copper producer and developer headquartered in Toronto, Ontario. The Company operates two mines: the Mount Milligan Mine, a long-life gold-copper asset in British Columbia, Canada, and the Öksüt Mine, a gold asset in Türkiye. Centerra has a self-funded organic growth pipeline in North America, including the Kemess gold-copper Project in British Columbia, Canada, and the Goldfield gold Project in Nevada, United States. The Company also owns and operates US Moly, a vertically integrated molybdenum business in the United States comprising the Thompson Creek Mine in Idaho and the Langeloth Metallurgical Facility in Pennsylvania. Centerra’s shares trade on the Toronto Stock Exchange (TSX: CG) and on the New York Stock Exchange (NYSE: CGAU).

For more information:

Lisa Wilkinson
Vice President, Investor Relations & Corporate Communications
(416) 204-3780
Lisa.Wilkinson@centerragold.com

Additional information on Centerra is available on the Company’s website at www.centerragold.com, on SEDAR+ at www.sedarplus.ca and EDGAR at www.sec.gov/edgar.

TORONTO, Sept. 30, 2026 (GLOBE NEWSWIRE) — Centerra Gold Inc. (“Centerra” or the “Company”) (TSX: CG) (NYSE: CGAU) will release its third quarter 2026 operating and financial results after the market closes on Thursday October 29, 2026. The Company will host a conference call and webcast to discuss the results on Friday October 30, 2026, at 9:00 a.m. Eastern Time. Details for the conference call and webcast are included below.

Webcast

• Participants can access the webcast at the following webcast link.
• An archive of the webcast will be available until the end of day on January 30, 2027.

Conference Call

• Participants can register for the conference call at the following registration link. Upon registration, you will receive the dial-in details and a unique PIN to access the call. This process will bypass the live operator and avoid the queue. Registration will remain open until the end of the live conference call.
• Participants who prefer to dial in and speak with a live operator can access the call by dialing 1-833-821-3536 or 647-846-2628. It is recommended that you call 10 minutes before the scheduled start time.
• After the call, an audio recording will be made available via telephone for one month, until the end of day November 30, 2026. The recording can be accessed by dialing 1-855-669-9658 or 412-317-0088 and using the access code 7065248. In addition, the webcast will be archived on Centerra’s website at www.centerragold.com/investor-relations/events-and-presentations/
• Presentation slides will be available on Centerra’s website at www.centerragold.com.

About Centerra Gold

Centerra Gold Inc. is a Canadian-based gold and copper producer and developer headquartered in Toronto, Ontario. The Company operates two mines: the Mount Milligan Mine, a long-life gold-copper asset in British Columbia, Canada, and the Öksüt Mine, a gold asset in Türkiye. Centerra has a self-funded organic growth pipeline in North America, including the Kemess gold-copper Project in British Columbia, Canada, and the Goldfield gold Project in Nevada, United States. The Company also owns and operates US Moly, a vertically integrated molybdenum business in the United States comprising the Thompson Creek Mine in Idaho and the Langeloth Metallurgical Facility in Pennsylvania. Centerra’s shares trade on the Toronto Stock Exchange (TSX: CG) and on the New York Stock Exchange (NYSE: CGAU).

For more information:

Lisa Wilkinson
Vice President, Investor Relations & Corporate Communications
(416) 204-3780
Lisa.Wilkinson@centerragold.com

Additional information on Centerra is available on the Company’s website at www.centerragold.com, on SEDAR+ at www.sedarplus.ca and EDGAR at www.sec.gov/edgar.

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• 2026-09-30_Rentefix_Senior, Non-Preferred Notes (SEK)