What NVIDIA’s AI Data Platform Means for Enterprise AI and How Hammerspace Makes It a Reality
DEC 10, 20257 MIN
What NVIDIA’s AI Data Platform Means for Enterprise AI and How Hammerspace Makes It a Reality
DEC 10, 20257 MIN
Description
<p>AI doesn’t fail because of GPUs. It fails because of data.</p><p><br></p><p>I had a blast chatting with Jeff Echols, Vice President, AI and Strategic Partners at Hammerspace, from NVIDIA GTC in Washington. We talked about the part of AI nobody is fixing fast enough: getting data to GPUs at the speed the GPUs need it.</p><p><br></p><p>Jeff breaks down what makes the Hammerspace AI Data Platform different from traditional AI storage. This isn’t “more storage.” It’s orchestration. Move data globally. Feed it to the right workload. Keep GPUs busy instead of waiting.</p><p><br></p><p>We also got into MCP and why an intelligent data control layer is now core to any real AI strategy, plus how Hammerspace lines up with the NVIDIA AI Data Platform reference design so enterprises can actually run this in production, not just in a lab.</p><p><br></p><p>And we talked Tier 0. If you want GPU ROI, Tier 0 is about one thing: keep the GPUs fed at full speed.</p><p><br></p><p>If you’re trying to scale AI past a pilot, watch this. </p><p><br></p><p>#data #ai #nvidiagtc #nvidia #hammerspace #gpu #theravitshow</p>