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Google's graph teams use Gemini 4 Argon to build RDMA networking and TPU kernels

1 article1 sourcesince Oct 29Last article 1h ago ·

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Google Research says its Graph Mining and Graph Learning teams used Gemini 4 Argon with the Teamwork agent in Google Antigravity to build low-level RDMA networking and custom TPU kernels, work the post says would normally take months.

According to the same post, the resulting FarArray graph algorithms run up to 180x faster using 22x less RAM, and custom TPU kernels for Graph Neural Networks run 8–15x faster than native JAX.

These figures are Google's own claims in its announcement and have not been independently verified.

Written by AI from the articles below · updated Oct 29, 12:43 PM ET

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Latest developmentOct 29, 12:41 PM ET
Google's graph teams use Gemini 4 Argon to speed up graph algorithms and TPU kernels

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Oct 29
  1. Google ResearchOfficial
    Google's graph teams use Gemini 4 Argon to speed up graph algorithms and TPU kernels

    AIGoogle's Graph Mining and Graph Learning teams used Gemini 4 Argon with the Teamwork agent in Google Antigravity to compress months of RDMA networking and custom TPU kernel work into hours. The post says the FarArray graph algorithms run up to 180x faster using 22x less RAM. It also reports custom TPU kernels for Graph Neural Networks running 8–15x faster than native JAX.

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