PyTorch-native TPU back end for vLLM
A new backend has been added to the vLLM inference engine that allows it to run on Tensor Processing Units using PyTorch’s native support. The integration aims to combine vLLM’s high‑throughput LLM serving with TPU acceleration, offering developers an open‑source option for faster inference without rewriting models. Early benchmarks show competitive latency and throughput in real‑world scenarios.