Microsoft Brings Native PyTorch Arm Support To Windows Devices (neowin.net) 3
Microsoft has announced native PyTorch support for Windows on Arm devices with the release of PyTorch 2.7, making it significantly easier for developers to build and run machine learning models directly on Arm-powered Windows machines. This eliminates the need for manual compilation and opens up performance gains for AI tasks like image classification, NLP, and generative AI. Neowin reports: With the release of PyTorch 2.7, native Arm builds for Windows on Arm are now readily available for Python 3.12. This means developers can simply install PyTorch using a standard package manager like pip.
According to Microsoft: "This unlocks the potential to leverage the full performance of Arm64 architecture on Windows devices, like Copilot+ PCs, for machine learning experimentation, providing a robust platform for developers and researchers to innovate and refine their models."
According to Microsoft: "This unlocks the potential to leverage the full performance of Arm64 architecture on Windows devices, like Copilot+ PCs, for machine learning experimentation, providing a robust platform for developers and researchers to innovate and refine their models."
Microsoft? (Score:2)
I thought PyTorch is Meta/Facebook
System Requirements (Score:1)
Re: (Score:2)
You could train PyTorch on pretty much any desktop machine (x86_64 or ARM) running Windows, Mac or Linux, built in the last 10 years, A GPU is optional but it helps. More memory and newer CPU helps too of course.
After your train, then run inference on almost anything, including an old PC running MS-DOS [yeokhengmeng.com]. Or any large microcontroller you care to port Llama 2 [github.com] or one of the many other tiny LLM inference engines. Of course you'd be limited to very tiny models. For a more serious use, there are lots of options ou