#xpu — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #xpu, aggregated by home.social.
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With the cluster and storage down for maintenance this week, I thought about doing some #pytorch development locally an my laptop. No dedicated GPU, but a recent #intel Core Ultra 2 CPU. So first I went for the CPU-only packages.
Only yesterday I realized that the Windows task manager shows something called #npu in its charts. Fair enough, let's see whether pytorch can use it ...
I have to say, the #xpu pytorch integration has gone a long way. In my case, I could use it as a drop-in replacement for #cuda / #rocm pytorch, yet with the obvious performance differences between HPC GPUs and a laptop iGPU.
https://docs.pytorch.org/docs/stable/notes/get_start_xpu.html
Always nice to have alternatives. Especially for basic testing I don't need big (expensive) GPUs.
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#AWS is facing a #cloudcrisis in the #GPU #XPU #Cloud era, trailing behind Microsoft Azure and Google Cloud. However, AWS is poised for a resurgence, driven by its #partnership with #Anthropic, a leading #GenAI company. AWS is investing heavily in datacentres and custom Trainium chips to support Anthropic’s aggressive training and inference needs. https://semianalysis.com/2025/09/03/amazons-ai-resurgence-aws-anthropics-multi-gigawatt-trainium-expansion/?eicker.news #tech #media #news
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#AI #GPU clusters with one million GPUs are planned for #2027
#Broadcom predicts three of its clients, #hyperscalers, will deploy AI #supercomputers with one million #XPU in fiscal 2027. #HockTan, President and CEO, at Q4 2024 earnings call said "In 2027, we believe each of them plans to deploy 1,000,000 XPU clusters across a single fabric." It was rumored #ByteDance and #OpenAI teamed up with Broadcom to develop their AI chips. Broadcom, of course, does not mention names
https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-gpu-clusters-with-one-million-gpus-are-planned-for-2027-broadcom-says-three-ai-supercomputers-are-in-the-works -
I can highly recommend this funny and informative #Houdini talk by @tokyomegaplex
We're actually using #Karma #XPU in production right now for some water (where we don't need subsurface scattering). It takes just a few minutes to render (on an RTX 3090Ti) compared to 2 hours (on a Threadripper CPU). As long as the scene fits onto your graphics card...