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As AI Increases Demands on Memory, Storage Steps Up
At the Future of Memory and Storage conference, NVIDIA announced hardware advancements, open-source APIs, and industry collaborations to optimize storage infrastructure for AI. The focus is on increasing throughput and enabling GPUs to access data directly from storage.
Why it matters
Reducing storage bottlenecks allows enterprises to process massive datasets faster, leading to quicker insights and better financial returns on AI investments.
The details
- NVIDIA open sourced cuFile APIs for direct GPU-to-storage read and write access.
- The Storage-Next initiative includes over 40 vendors creating interoperable AI storage standards.
- NVIDIA Vera CPU delivers up to 3.21x higher throughput than x86 CPUs.
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Key connections
NVIDIA owns NVIDIA Vera BlueField-4 STX
NVIDIA makes NVIDIA Vera BlueField-4 STX.
NVIDIA open sourced its cuFile APIs.
NVIDIA owns NVIDIA GPUDirect Storage
NVIDIA offers GPUDirect Storage.
NVIDIA offers SCADA framework.
DDN develops Infinia platform.
NVIDIA owns NVIDIA Vera BlueField-4
NVIDIA manufactures Vera BlueField-4 storage processors.
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NVIDIA owns NVIDIA Spectrum-X Ethernet
NVIDIA produces Spectrum-X Ethernet networking.
NVIDIA owns NVIDIA STX
NVIDIA offers NVIDIA STX data platform.
NVIDIA owns NVIDIA DOCA
NVIDIA develops NVIDIA DOCA security stack.
NVIDIA owns NVIDIA CMX Context Memory Storage
NVIDIA provides CMX Context Memory Storage.
Sven Oehme works at DDN
Chief Technology Officer at DDN
Inaugural maintainer of open source cuFile APIs
Inaugural maintainer of open source cuFile APIs
Inaugural maintainer of open source cuFile APIs
Partnering on Storage-Next initiative and integrating SCADA with Infinia
Contributing to Storage-Next initiative with NVIDIA
Contributing to Storage-Next initiative with NVIDIA
NVIDIA Vera BlueField-4 STX is built with Agentic AI
Brings agentic AI storage processing with in-silicon security
cuFile is related to NVIDIA GPUDirect Storage
cuFile is an open source component of NVIDIA GPUDirect Storage
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