Nvidia · NVIDIA Blog
As AI Increases Demands on Memory, Storage Steps Up
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Surging AI demands are driving the need for massive datasets and context windows that burst past the confines of system memory.
Key facts
- Join NVIDIA sessions at FMS, running Aug. 4-6 in Santa Clara, California, and learn more about NVIDIA AI storage
- Storage-Next and SCADA extend NVIDIA’s longstanding work on AI storage infrastructure, including on NVIDIA Vera BlueField-4 STX, a modular, rack-scale foundation powered by the NVIDIA Vera Rubin
- Benchmarks highlighted in this NVIDIA technical blog show that the NVIDIA Vera CPU, part of NVIDIA Vera BlueField-4 STX, delivers up to 3.21x higher throughput than an x86 CPU in a two-stage
- Storage-Next includes over 40 leading storage and flash vendors, including DDN, KIOXIA and Micron, each contributing to the next generation of AI storage technologies with NVIDIA
Summary
At this week’s Future of Memory and Storage (FMS) conference, NVIDIA is unveiling new storage advancements and showcasing how the next leap in AI depends as much on the storage infrastructure feeding accelerated computing as on the computing power itself. The pressure on that infrastructure is intensifying as AI agents consume massive amounts of data, and GPUs can now initiate storage requests directly, generating thousands of concurrent operations. To serve those requests, storage systems must continuously encrypt, compress, verify and reconstruct data. Benchmarks highlighted in this NVIDIA technical blog show that the NVIDIA Vera CPU, part of NVIDIA Vera BlueField-4 STX, delivers up to 3.21x higher throughput than an x86 CPU in a two-stage compression and encryption pipeline.