# Our Kimi K3 result running @vllm\_project TPU v7 reaches 391 tokens/s

[Reference page](https://posts.design/inferact-our-kimi-k3-result-running-vllm-project-2026-10-20) · [Markdown](https://posts.design/inferact-our-kimi-k3-result-running-vllm-project-2026-10-20.md) · [Original source](https://x.com/inferact/status/2112622740528378012)

Our Kimi K3 result running @vllm\_project TPU v7 reaches 391 tokens/s per user on @SemiAnalysis\_ AgentX\.

This result uses our TPU megakernels in vLLM TorchTPU and holds up on real, long\-context, production\-level agentic workloads\. The results are publicly viewable on InferenceX,

- Kind: post
- Media: video
- Posting account: Inferact · @inferact
- Account: [inferact](https://x.com/inferact)
- Represented brand: Inferact
- Categories: Charts
- Source published: 2026\-10\-20T19:11:26\.000Z
- Captured: 2026\-11\-06
- Added to posts.design: 2026\-11\-06T20:52:35\.932Z
- Recorded views: 3235 · captured 2026\-11\-06T20:52:27\.245Z · import\-observed\-public

![Inferact: Our Kimi K3 result running @vllm\_project TPU v7 reaches 391 tokens/s — public x\-twitter post media curated for social post design inspiration\.](https://posts.design/images/posts/x-twitter-inferact-2112622740528378012-inferact-kimi-k3-result-running-vllm.webp)

1280 × 720

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