PostHardware-Agnostic Models in vLLM

Hardware-Agnostic Models in vLLM The article explains how vLLM is introducing hardware-agnostic layers so it can keep supporting diverse models and accelerators even as frontier models increasingly rely on hardware-specific “flat” implementations. The new path remains compatible with torch.compile and, in tests on NVIDIA H100s, delivered total token throughput within 3.4% of the native implementation across three recent... https://pytorch.org/blog/hardware-agnostic-models-in-vllm/