<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PyTorch on Phil Wheat</title><link>https://philwheat.net/tags/pytorch/</link><description>Recent content in PyTorch on Phil Wheat</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 17 Oct 2026 11:33:00 -0500</lastBuildDate><atom:link href="https://philwheat.net/tags/pytorch/index.xml" rel="self" type="application/rss+xml"/><item><title>PyTorch</title><link>https://philwheat.net/links/pytorch-foundation/</link><pubDate>Sat, 17 Oct 2026 11:33:00 -0500</pubDate><guid>https://philwheat.net/links/pytorch-foundation/</guid><description>&lt;p&gt;The official PyTorch Foundation channel (Linux Foundation-hosted), covering the framework plus the portfolio around it — vLLM, DeepSpeed, Ray, Helion, Safetensors. Recent talks are serious inference engineering: tier-aware KV-cache routing for vLLM at scale, Trainium&amp;rsquo;s journey to native PyTorch, masked-diffusion language models on AMD XDNA2 NPUs, and API parity across heterogeneous accelerators. The primary-source feed for open-source AI infrastructure; weekly uploads.&lt;/p&gt;</description></item></channel></rss>