Comments on: HPE Goes After Enterprise AI With Nvidia GPU Engines https://www.nextplatform.com/2024/06/19/hpe-goes-after-enterprise-ai-with-nvidia-gpu-engines/ In-depth coverage of high-end computing at large enterprises, supercomputing centers, hyperscale data centers, and public clouds. Mon, 08 Jul 2024 17:29:47 +0000 hourly 1 https://wordpress.org/?v=6.5.5 By: Not on my watch https://www.nextplatform.com/2024/06/19/hpe-goes-after-enterprise-ai-with-nvidia-gpu-engines/#comment-225922 Sun, 23 Jun 2024 16:42:53 +0000 https://www.nextplatform.com/?p=144317#comment-225922 In reply to Slim Albert.

This isn’t new. HPE channel partners and customers have had this exact messaging from Antonio for 3 years with Greenlake, it’s just now that it’s running NVIDIA AI Enterprise rather than their own software from Cray, SGI, BlueData, or MapR.

What was the point of those acquisitions, and will HPE really invest in the skills to use and deploy 3rd party NVIDIA software?

]]> By: Not on my watch https://www.nextplatform.com/2024/06/19/hpe-goes-after-enterprise-ai-with-nvidia-gpu-engines/#comment-225903 Sun, 23 Jun 2024 04:46:27 +0000 https://www.nextplatform.com/?p=144317#comment-225903 HPE isn’t serious about AI, it’s merely trying to take advantage of it as a last ditch effort to maintain relevance. If you look at the Cray XD670, it’s just a rebadged Gigabyte server for a higher price, lower quality, and more confusing warranty RMA – why would anyone buy this? It has a short lifecycle, it’s entirely dependent on a 3rd parties roadmap, and I’m sorry but Gigabyte produces sub par products that only fools or inexperienced IT staff invest in.

Channel partners and customers expect better, and their shareholders will too soon enough.

]]> By: Slim Albert https://www.nextplatform.com/2024/06/19/hpe-goes-after-enterprise-ai-with-nvidia-gpu-engines/#comment-225800 Thu, 20 Jun 2024 11:01:48 +0000 https://www.nextplatform.com/?p=144317#comment-225800 It’s good to see HPE join the fray of prefabicrated instant-on turnkey Private-Cloud-AI machinery given the (at least apparent) enthusiasm for the tech, combined with security-privacy considerations for both training data, and RAG data, IMHO.

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