Google adds vLLM and SGLang inference engines for TPU

Broadens TPU serving options, pressuring Nvidia's CUDA lock-in in inference.

TorchTPU now backs native vLLM and SGLang backends, letting developers serve models on TPUs with PyTorch tooling, with optimized TPU kernels and production serving support.

Read it at Google Developers → 💬 40 on HN

Coverage: 11 sources, in order

1. 20 Oct 00:00 Hugging Face Blog Read the article →
2. 20 Oct 15:04 Google for Developers Blog Read the article →
3. 20 Oct 15:04 Google for Developers Blog Read the article →
4. 20 Oct 15:22 MarkTechPost Read the article →
5. 20 Oct 15:22 MarkTechPost Read the article →
6. 20 Oct 15:30 Google Developers Read the article →
7. 20 Oct 15:30 Google Developers Read the article →
8. 20 Oct 16:40 Hacker News Read the article →
9. 20 Oct 17:15 Unite.AI Read the article →
10. 20 Oct 18:38 TechCrunch Read the article →
11. 20 Oct 18:38 TechCrunch Read the article →

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