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AI consultancy Crater Labs spent vast amounts of time managing server-attached drives to ensure GPUs were saturated. A shift to all-flash Pure Storage slashed that to almost zero.
In this guide, we examine the data storage needs of artificial intelligence, the demands it places on data storage, the suitability of cloud and object storage for AI, and key supplier AI storage products.
Storage supplier announcements at Nvdia conference centre on infrastructure integration, tackling the GPU I/O bottleneck and AI hallucinations by running Nvidia NeMo and NIM microservices.
HPE doubles controller nodes, boosts capacity with denser drives, cuts caches and builds in 100Gbps links to bring denser, faster storage aimed at all parts of the AI/ML pipeline.
Start now looking at artificial intelligence compliance. That’s the advice of Mathieu Gorge of Vigitrust, who says AI governance is still immature but firms should recognise the limits and still act.