ADATA, FADU, and Giga Computing Partner to Deliver High-Performance SSDs for AI Era
Three technology companies – ADATA’s TRUSTA division, FADU Inc., and Giga Computing Technology – announced today a strategic partnership to jointly develop and deliver high-performance solid-state drive (SSD) solutions optimized for next-generation server platforms, a move expected to address the growing demands of artificial intelligence infrastructure.
The collaboration focuses on providing energy-efficient storage solutions as AI applications, large language models, and edge computing workloads increase pressure on data center resources. ADATA’s TRUSTA enterprise SSDs, utilizing FADU controllers, have already been validated and deployed on Giga Computing’s servers featuring both Intel Xeon 6 and AMD EPYC 9005 series processors. Industry analysts project that data volume for AI inference will surpass training data by 3.8x by 2030, with overall energy demand increasing 1.65x from 2023 levels – highlighting the critical need for efficient storage.
A key achievement of this partnership is the Qualified Vendor List (QVL) validation of the TRUSTA PCIe 5.0 T7P5 SSD on Giga Computing’s website. The T7P5 boasts read/write speeds of 13,500/10,300 MB/s and a power efficiency of 447 MB/s per watt, approximately 1.6 times higher than comparable products. This improved efficiency can significantly lower the total cost of ownership for data centers. For more information on SSD technology, visit TechTarget.
The companies will showcase their collaborative efforts at the OCP Global Summit and subsequent events, emphasizing the importance of industry cooperation in building a more sustainable and intelligent future for AI infrastructure. This partnership underscores a broader trend of companies seeking to optimize power consumption in the face of rapidly expanding AI workloads, as detailed in recent reports from Gartner.
Officials stated the alliance aims to deliver solutions meeting the performance, efficiency, and reliability requirements of AI, Cloud, and enterprise innovation while supporting carbon-neutral goals.
AI Era Brings Unprecedented Storage Demands – Green, Efficient Solutions Emerge
With the rapid growth of AI applications, large language models (LLMs) and diverse edge computing workloads are multiplying, placing unprecedented pressure on data center storage. In this context, ADATA’s TRUSTA enterprise SSDs powered by FADU controllers have been validated and deployed on Giga Computing’s latest server platforms, featuring both Intel Xeon 6 and AMD EPYC 9005 series processors. These solutions deliver high-performance computing with significantly improved power efficiency, helping customers reduce massive energy consumption generated by AI inference workloads.
According to industry analysts, by 2030 the volume of data required for AI inference will outpace training data by 3.8x, while overall energy demand is projected to rise to 1.65x of 2023 levels. By combining ADATA TRUSTA’s enterprise-grade storage, FADU’s advanced controller technology, and Giga Computing’s server engineering expertise, the alliance aims to deliver lower TCO solutions (Total Cost of Ownership) that meet the stringent performance, efficiency, and reliability requirements of AI, Cloud, and enterprise innovation—while supporting enterprises in achieving their carbon-neutral goals.
TRUSTA T7P5 SSD Achieves QVL Validation – A Milestone for AI Infrastructure
Leading this achievement is the TRUSTA PCIe 5.0 flagship T7P5 SSD, the first to list on QVL (Qualified Vendor List) Giga Computing’s website. Delivering read/write speeds of 13,500/10,300 MB/s, the drive demonstrates power efficiency of 447 MB/s per watt, approximately 1.6x higher than comparable products. With up to 3 DWPD (Drive Writes Per Day), the T7P5 offers superior durability and performance, making it ideal for AI/ML training, OLTP/OLAP, big data exchange, and intensive graphics workloads.
ADATA, FADU, and Giga Computing will jointly showcase the results of this collaboration at the OCP Global Summit and beyond, highlighting how cross-industry cooperation is shaping a smarter, greener future for AI infrastructure worldwide.
