Phison and RedData Announce Availability of aiDAPTIV+ Solutions for U.S. Federal Classified AI Programs at NVIDIA GTC Washington, D.C.

WASHINGTON--(BUSINESS WIRE)--Phison Electronics (8299TT), a global leader in NAND flash and AI infrastructure technologies, and RedData, an RPI-CS, Inc. division, today announced the availability of Phison’s aiDAPTIV+ GPU memory extension technology integrated into RedData’s secure solutions for U.S. Federal classified programs.

Following the recent release of America's AI Action Plan, many federal agencies and system integrators are faced with implementing AI infrastructure using secure and future-proof methodologies. The collaboration between Phison and RedData addresses these critical requirements for affordable, secure, on-premises AI infrastructure within government use cases, the intelligence community and national labs. By leveraging Phison’s aiDAPTIV+ AI solution, Federal agencies can affordably accelerate inference and scale large language model (LLM) training while maintaining compliance with classified environment requirements.

Federal agencies face unique challenges deploying AI due to security, compliance, and the prohibitive cost of scaling GPU card-only systems. Phison’s aiDAPTIV+ addresses these challenges by extending GPU memory with high-capacity NAND-flash-based caching, enabling:

• On-premises, classified AI deployment without reliance on commercial public cloud.
• Expanded LLM training capabilities supporting models up to 671B parameters.
• Faster inference response accelerates Agentic AI applications through quicker time-to-first-token (TTFT) when the GPU’s KV cache is full.
• Reduced AI infrastructure costs by expanding GPU VRAM with budget-friendly NAND-flash based memory.

By combining Phison’s technology and RedData’s AI platforms, this solution delivers a private, cost-effective path for agencies to operationalize AI in mission-critical programs.

“aiDAPTIV+ was engineered to unlock the full potential of GPUs by using NAND flash storage to break through memory constraints,” said Michael Wu, GM and President, Phison US. “In partnership with RedData, we are bringing this capability directly to U.S. Federal customers who require secure, classified AI environments.”

“Our government customers are seeking practical, deployable solutions to enable AI in their most sensitive missions,” said Bill Downer, Vice President of Sales, RedData. “By integrating Phison’s aiDAPTIV+ into RedData’s secure platforms, we’re empowering agencies to train and deploy larger AI models while meeting stringent classified requirements.”

Phison aiDAPTIV+-based RedData solutions will be showcased at NVIDIA GTC D.C. (October 27–29, 2025) in booth #667 and are available immediately for U.S. Federal classified program deployments.

About RedData Technologies

RedData, a division of RPI-CS, Inc., is a one-stop shop for secure data storage devices and systems. We specialize in developing commercially viable solutions that meet our customers' strict security requirements, with a focus on Commercial Solutions for Classified (CSfC) environments. Our product portfolio features a diverse selection of certified Self-Encrypting Drives (SEDs) from leading manufacturers. By working closely with customers and manufacturers from the design phase onward, we integrate additional capabilities and enhancements to meet data security needs. Our team has decades of experience in the storage industry and data-at-rest security, ensuring we deliver robust and reliable solutions.

About Phison Electronics

Phison Electronics is a global leader in NAND flash controllers and storage solutions, powering more than one in every five SSDs shipped worldwide. Phison has grown into a multi-billion-dollar company with over 4,500 employees—70% of which are dedicated to R&D—and more than 2,000 patents. The company’s innovations include aiDAPTIV+, an award-winning AI solution for affordable LLM training and inferencing on-premises, and Pascari, a portfolio of ultra-high-performance enterprise SSDs purpose-built for data-intensive workloads across AI, cloud, and hyperscale data centers.

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