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AGMH Announces Strategic Upgrade: Access to Global Top-Tier Storage Chip Supply Chain and Accelerates R&D of AI All-Flash Storage Server Systems

(Moderate)
(Positive)
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AI

AGMH (NASDAQ: AGMH) launched a strategic procurement initiative on Feb 5, 2026 to secure enterprise-grade NAND flash and controller chips from global tier-one suppliers to support its proprietary all-flash storage server systems for AI workloads. Focus: supply-chain resilience, NVMe-based high-density designs, energy-efficient AI storage, and accelerated R&D toward storage-compute convergence.

The program targets deep hardware optimization, intelligent tiering, and reduced total cost of ownership for hyperscale and edge AI deployments.

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Positive

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Negative

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News Market Reaction – AGMH

-12.80% 1.6x vol
13 alerts
-12.80% Session close to close
+16.2% Peak Tracked
-18.0% Trough Tracked
$5.29M Market Cap
1.6x Rel. Volume

In the Feb 5 session, AGMH declined 12.80%, reflecting a significant negative market reaction. Argus tracked a peak move of +16.2% during that session. Argus tracked a trough of -18.0% from its starting point during tracking. Our momentum scanner triggered 13 alerts that day, indicating notable trading interest and price volatility. Trading volume was above average at 1.6x the daily average, suggesting increased trading activity.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock dropped -12.8% in the session following this news. A negative reaction despite AI-focused ...
Analysis

The stock dropped -12.8% in the session following this news. A negative reaction despite AI-focused strategy updates would fit the pattern of prior AI news, which averaged -4.06% moves. Before this article, AGMH traded at 1.64, well below its 3.25 200-day MA and 44.995 52-week high, reflecting prior weakness. An effective US$60,000,000 F-3 shelf also gives the company flexibility to raise capital, a factor that can weigh on sentiment around growth announcements.

Previous AI Reports

2 past events · Latest: Feb 03 (Positive)
Same Type Pattern 2 events
Date Event Sentiment 24h Move Catalyst
Feb 03 AI financing update Positive -4.8% Strategic financings for AI chip and server R&D and supply chain build-out.
Jan 20 AI innovation push Positive -3.4% Launch of AI-focused all-flash clustered storage server and related optimizations.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Recent AI-focused announcements have been followed by negative price reactions despite growth-oriented positioning.

Recent Company History

Over the past month, AGMH has issued multiple AI-related updates. On Jan 20 and Feb 3, AI infrastructure and supply-chain financings led to moves of -3.37% and -4.76%. These focused on ASIC design, all-flash storage servers, and global AI supply chains. Today’s AI storage chip procurement and R&D acceleration continue this pivot toward vertically integrated AI infrastructure, building on the same themes of custom hardware, supply resilience, and data-center efficiency.

Key Terms

nand flash, solid-state drives, nvme, iops, +2 more
6 terms
nand flash technical
"securing high-performance enterprise-grade NAND Flash memory and associated controller chips"
NAND flash is a type of computer memory that stores data even when a device is turned off, used in smartphones, solid‑state drives, USB sticks and many other gadgets. Think of it as a reusable, electrically erasable notepad that keeps information without power; its production capacity, cost per gigabyte and technological improvements matter to investors because they drive revenue, pricing, profit margins and competitiveness for chip makers and device manufacturers.
solid-state drives technical
"Traditional hard disk drives (HDDs), and even general-purpose solid-state drives (SSDs)"
Solid-state drives are storage devices that hold computer data on electronic memory chips rather than on spinning disks, so they have no moving parts. For investors, they matter because they speed up devices, use less power, and last longer than traditional hard drives—traits that can lower costs, raise product value, and shift demand across industries from consumer electronics to data centers, affecting company sales, margins, and supply chains.
nvme technical
"End-to-End NVMe Support: Maximizes native flash performance by minimizing protocol overhead"
NVMe is a fast data-transport standard that lets modern solid-state drives (SSDs) move information much more quickly and efficiently than older interfaces, acting like a wider, faster highway between storage and a computer’s processor. For investors, NVMe matters because it boosts device and server performance, can lower operating costs and power use in data centers, and influences which products and suppliers are competitive in markets where speed and efficiency drive revenue and margins.
iops technical
"With superior energy efficiency and high IOPS density inherent to all-flash architectures"
IOPS stands for input/output operations per second, a measure of how many read or write requests a storage system can handle each second. For investors, higher IOPS usually means faster, more reliable data access for applications and customers, which can translate into better product performance, stronger service-level guarantees, and competitive advantage for companies that sell or rely on storage and cloud infrastructure. Think of it like how many cars a bridge can pass per minute without causing a traffic jam.
software-defined storage technical
"Utilizes proprietary software-defined storage (SDS) technology to identify hot and cold data"
Software-defined storage is a way of managing and controlling where and how data is kept using software rather than depending on specific physical storage devices. Like switching from a single-purpose tool to a smartphone app that runs on many devices, it lets businesses use standard servers, scale capacity quickly, add features via updates, and reduce long-term hardware costs—factors that influence profitability, capital spending and recurring revenue for investors.
sds technical
"Utilizes proprietary software-defined storage (SDS) technology to identify hot and cold data"
A Safety Data Sheet (SDS) is a standardized document that explains a chemical or product’s hazards, safe handling, storage, transport and emergency measures. For investors, an SDS is like a car owner’s manual for a product: it reveals regulatory requirements, possible liability, supply-chain or shipping limits, and extra costs for handling or disposal—issues that can affect a company’s compliance, reputation and operating expenses.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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NEW YORK, Feb. 05, 2026 (GLOBE NEWSWIRE) -- AGM Group Holdings Inc. (NASDAQ: AGMH, “AGMH” or the “Company”), a technology company focus on high-performance computing and frontier innovation, today launched a large-scale strategic procurement initiative targeting leading global semiconductor suppliers. This program focus on securing high-performance enterprise-grade NAND Flash memory and associated controller chips, which will exclusively support AGMH’s independently developed all-flash storage server systems designed specifically for AI workloads. This move marks a critical milestone in the Company's efforts to build a robust, high-efficiency AI infrastructure ecosystem.

Addressing AI Compute Bottlenecks: From "Compute-Centric" to "Storage-Compute Co-Design"
As generative AI (AIGC) and large language models (LLMs) continue to scale exponentially in parameter size, data center storage subsystems are now facing unprecedented demands in throughput and latency. Traditional hard disk drives (HDDs), and even general-purpose solid-state drives (SSDs), can no longer keep pace with the extreme performance of modern GPU clusters. Thus, storage has become a key bottleneck limiting AI training efficiency.

To address this industry-wide challenge, AGMH’s strategic procurement initiative aims to holistically resolve compute-storage decoupling by establishing direct access to premium semiconductor resources, include:

  • Strengthening Supply Chain Resilience and Security: By procuring directly from tier-one wafer and chip manufacturers, AGMH mitigates risks related to geopolitical tensions and market volatility, ensuring long-term stability for its AI infrastructure business.
  • Enabling Deep Hardware Optimization: Leveraging top-tier flash components alongside AGMH’s proprietary firmware algorithms and hardware architecture, the Company is developing storage solutions finely tuned for high-concurrency, random read/write patterns typical in AI applications.
  • Reducing Total Cost of Ownership (TCO): With superior energy efficiency and high IOPS density inherent to all-flash architectures, AGMH’s AI storage systems are expected to significantly lower power consumption and cooling expenses in data centers, thereby improving capital and operational expenditure efficiency.

Building a Data-Centric Next-Generation AI Computing Platform
The CEO of AGMH said: “In the era of AI, computing power serves as the engine driving model evolution, while storage acts as the fuel supply that sustains high-performance operations. Without solving the data delivery bottleneck, even the most advanced GPUs cannot reach their full potential. Our collaboration with globally renowned semiconductor partners not only demonstrates AGMH’s capabilities in advanced component integration but also signifies a decisive step toward becoming a provider of core AI infrastructure technologies. Moving forward, we remain committed to advancing storage-compute convergence and delivering integrated, energy-efficient, and scalable AI computing platforms to customers worldwide.”

Product Vision: Purpose-Built All-Flash Architecture for AI Workloads
AGMH’s next-generation all-flash storage server systems currently under development will focus on the following technological innovations:

  • End-to-End NVMe Support: Maximizes native flash performance by minimizing protocol overhead and dramatically reducing data loading time during AI model training, thus increasing overall GPU utilization.
  • High-Density Design: Incorporates modular chassis and advanced thermal management to deliver petabyte-scale high-speed capacity within constrained rack space, suitable for both hyperscale cloud environments and edge computing nodes.
  • Intelligent Tiering Management: Utilizes proprietary software-defined storage (SDS) technology to identify hot and cold data streams dynamically, enhancing real-time inference efficiency while extending media lifespan.

This strategic initiative focus on reinforcing global supply chain partnerships and internal R&D capabilities—represents a significant advancement in AGMH’s vertical integration strategy and commitment to building an AI-native infrastructure platform. AGMH will continue to drive a dual-engine strategy of “deep hardware innovation + advanced algorithm design,” empowering industries to accelerate their transformation into the intelligent era.

About AGM GROUP HOLDINGS INC.
AGM GROUP HOLDINGS INC. is one of the few publicly-listed companies at US market with both ASIC chip design (“ASIC”) and crypto miner (“Crypto”) production capabilities and its released crypto miner has competitive product performance and parameters. For more information, please visit the Company’s website at https://agmhgroup.com/

Forward-Looking Statements
Certain statements in this announcement are forward-looking statements. These forward-looking statements involve known and unknown risks and uncertainties and are based on the Company's current expectations and projections about future events that the Company believes may affect its financial condition, results of operations, business strategy and financial needs. Investors can identify these forward-looking statements by words or phrases such as "approximates," "assesses," "believes," "hopes," "expects," "anticipates," "estimates," "projects," "intends," "plans," "will," "would," "should," "could," "may" or similar expressions. The Company undertakes no obligation to update or revise publicly any forward-looking statements to reflect subsequent occurring events or circumstances, or changes in its expectations, except as may be required by law. Although the Company believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and the Company cautions investors that actual results may differ materially from the anticipated results and encourages investors to review other factors that may affect its future results in the Company's registration statement and other filings with the U.S. Securities and Exchange Commission.

For more information, please contact:

AGM GROUP HOLDINGS INC.
Investor Relations Department
Email: ir@agmhgroup.com
https://agmhgroup.com/


FAQ

What did AGMH (AGMH) announce on February 5, 2026 about its semiconductor supply chain?

AGMH announced a large-scale procurement initiative to secure enterprise NAND flash and controller chips from tier-one suppliers. According to the company, the move aims to strengthen supply-chain resilience and ensure steady component access for its AI-focused all-flash storage systems.

How will AGMH's procurement initiative affect its AI all-flash storage development?

The initiative is intended to accelerate R&D and hardware optimization for AGMH's all-flash servers. According to the company, direct access to premium flash components enables firmware integration, NVMe performance tuning, and high-density designs tailored for AI workloads.

What technical features will AGMH's next-generation all-flash storage servers include?

AGMH plans NVMe support, modular high-density chassis, advanced thermal management, and proprietary SDS-based intelligent tiering. According to the company, these features target reduced protocol overhead, petabyte-scale capacity in racks, and dynamic hot/cold data handling for AI inference and training.

What operational benefits does AGMH cite from its all-flash architecture for data centers?

AGMH says its all-flash systems will lower power and cooling costs while increasing IOPS density and GPU utilization. According to the company, improved energy efficiency and reduced TCO are expected outcomes for hyperscale and edge data center deployments.

Does AGMH say this initiative changes its business strategy or market focus for AI infrastructure?

Yes. AGMH frames the procurement and R&D push as part of vertical integration and an AI-native infrastructure strategy. According to the company, it will pursue a dual-engine approach of deep hardware innovation plus advanced algorithm design to serve AI customers worldwide.