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[ARTICLE · art-155332] src=runtimewire.com ↗ pub= topic=ai-infrastructure verified=true sentiment=↑ positive

RadixArk helps bring SGLang to Google TPUs as Meta runs it in production

Meta said on October 20th that it is running SGLang-TorchTPU in production, bringing Google's custom AI chips into a major PyTorch shop. RadixArk, the startup co-founded by Ying Sheng, worked with Google and Meta on the engine, and Google says it co-developed TorchTPU with Meta's PyTorch team, according to the Google Developers Blog. The deployment matters because Google's TPU challenge to Nvidia depends on software as much as silicon.

read1 min views4 publishedOct 22, 2026
RadixArk helps bring SGLang to Google TPUs as Meta runs it in production
Image: Runtimewire (auto-discovered)

Google says it co-developed TorchTPU with Meta's PyTorch team; RadixArk worked with Google and Meta on SGLang-TorchTPU, which Meta says is in production.

        By [RuntimeWire Staff](https://runtimewire.com/author/runtimewire-staff)
        · Published 

Primary source: [Google Developers Blog](https://developers.googleblog.com/announcing-new-vllm-and-sglang-inference-engines-on-tpu/)

Why it matters #

Google's TPU challenge to Nvidia depends on software as much as silicon. Meta's deployment puts Google's PyTorch-native approach into production at a major PyTorch shop.

Meta said on October 20th that it is running SGLang-TorchTPU in production, putting Google's custom AI chips to work at a major PyTorch shop. RadixArk, the startup co-founded by Ying Sheng, worked with Google and Meta on the engine.…

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