vLLM promotes TPU to first-class backend with new unified support
vllm_project · x · 2026-08-27
vLLM announced that TPUs are now a first-class backend, powered by the new tpu-inference hardware plugin. This update unifies JAX and PyTorch under a single lowering path, allowing developers to run PyTorch models performantly on TPUs without code changes while maintaining vLLM's standard interface. Recommended TPU generations include v7x, v5e, and v6e, with comprehensive documentation and recipes now available.
More from Infra
- Prediction: Consumer Desktops Will Soon Run k3-Quality Models — AaronBergman18 · 2026-08-27
- Anthropic Locks in 460MW Compute for $45B, Revealing GPU Economics — zephyr_z9 · 2026-08-27
- Kioxia Plans $6.27B Investment for Third Fab in Iwate — zephyr_z9 · 2026-08-27
- DeepSeek-V4-Flash hits 51.5 tok/s on M3 Ultra — antirez · 2026-08-27
- Colibrì Engine Update: Runs 2.8T Param Models, Boosts Speed via Expert Caching — solyarisoftware · 2026-08-27
- Jensen Huang: Data Center Investment Payback Period Under One Year — zephyr_z9 · 2026-08-27