Skip to content
K = 0.731Subscribe

vLLM Highlights TPU Work Behind AgentX Results Across Three Models

1 reports 1 reporting sources Updated 2 hours ago

Understand the event

AI overview

vLLM highlighted TPU work from its ecosystem behind AgentX results for GLM-5.2, Qwen3.5 397B, and Kimi K3. It pointed to the Kimi K3 megakernel and vLLM TorchTPU, and credited Inferact and Google Cloud with pushing vLLM performance on TPU. vLLM said SemiAnalysis had highlighted this work; the post does not specify the results or performance figures.

Generated by AI from reports · Updated 1 hours ago

Latest development11/6 03:30 (UTC+8)
vLLM Highlights TPU Work Powering AgentX Results Across Three ModelsvLLM · X

Read next

More changes in today’s briefingOpenAI Releases Images 2.6 With SVG Export, GIFs, and Faster Generation

Models in this story

  • Kimi K3#23 overall$0.19 input / $16 output per million tokens
API prices of all models

Report timeline

Follow the reports to explore different sides of the event.

11/6
  1. vLLM · X
    vLLM Highlights TPU Work Powering AgentX Results Across Three Models

    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 https://t.co/Iut0KHJHKD

Keep up with AI, one email a day

Model releases, price changes and compute developments, with original sources. Free, confirmed by email, and easy to unsubscribe. Read a past issue

Event heat trend

There is not enough continuous observation data to plot a trend yet.