vLLM(@vllm_project):Thanks to @SemiAnalysis_ for highlighting the vLLM ecosystem’s work on TPU, in particular the Kimi K3 megakernel and vLLM TorchTPU powering AgentX results across GLM-5.2, Qwen3.5 397B, and Kimi K3. Shoutout to @inferact and @googlecloud for pushing vLLM performance on TPU. The @SemiAnalysis

2026.11.05 19:30

Thanks to @SemiAnalysis_ for highlighting the vLLM ecosystem’s work on TPU, in particular the Kimi K3 megakernel and vLLM TorchTPU powering AgentX results across GLM-5.2, Qwen3.5 397B, and Kimi K3. Shoutout to @inferact and @googlecloud for pushing vLLM performance on TPU. The @SemiAnalysis_ write-up below is a great read 👇

SemiAnalysis@SemiAnalysis_

2026.11.05 19:07

The Iron(wood) Throne: Google's TPU Stakes Its Claim on Inference Viable Alternative of CUDA Moat, NVIDIA Working Nights & Weekends, Jensen’s Counter Submission, Kimi K3, Meta Muse Spark Open, GLM5.3, TorchTPU, SGLang, vLLM, llm-d, Ray

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