<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yestino - The Signal · Hardware-Agnostic Models</title><link>https://yestino.com/entities/hardware-agnostic-models-95a9b1</link><description>Every event involving Hardware-Agnostic Models</description><language>en</language><atom:link href="https://yestino.com/entities/hardware-agnostic-models-95a9b1/feed.xml" rel="self" type="application/rss+xml"/><item><title>Hardware-Agnostic Models in vLLM</title><link>https://yestino.com/events/hardware-agnostic-models-in-vllm-b252f3</link><guid isPermaLink="true">https://yestino.com/events/hardware-agnostic-models-in-vllm-b252f3</guid><pubDate>Tue, 22 Sep 2026 15:45:46 GMT</pubDate><description>TL;DR To achieve state-of-the-art performance at the frontier, vLLM is changing its internal implementation in ways that make it incompatible with fullgraph to…
Sources: PyTorch Blog</description></item></channel></rss>