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Revolut moves ~2,000 engineers to self-hosted GLM for coding

104 points · 70 comments#revolut#glm#self-hosted#coding

Revolut has reportedly moved approximately 2,000 engineers to a self-hosted GLM model for coding, relegating frontier APIs like Claude Code and Codex to an exception list. According to David Abitbol, who leads AI operations there, the setup uses 56 Nvidia B200s at a blended cost of 30 cents per million tokens, roughly a tenth of what they paid Anthropic and OpenAI, and engineering lead time improved by 70%. The gains emerged when token rationing ended, as engineers applied AI to all tasks rather than saving it for hard tickets.

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    Revolut moves to self-hosted GLMHN

    # Guillermo Flor on X: "BREAKING: Revolut moved ~2,000 engineers onto self-hosted GLM for coding and pushed Claude Code and Codex to the exception list. Per David Abitbol, who leads AI ops there: 56 Nvidia B200s, a blended 30 cents per million tokens, roughly a tenth of what they paid Anthropic and OpenAI. Engineering lead time improved 70%. Here's the part that matters: the gains showed up when tokens stopped being rationed. Engineers quit saving AI for the hard tickets and pointed it at everything. Frontier models become the exception, open weights become the default. That's a pricing problem for every lab heading to IPO. h/t @OliverMolander Would you move your team off frontier APIs if the bill dropped 90%?" * Guillermo Flor @guilleflorvs BREAKING: Revolut moved ~2,000 engineers onto self-hosted GLM for coding and pushed Claude Code and Codex to the exception list. Per David Abitbol, who leads AI ops there: 56 Nvidia B200s, a blended 30 cents per million tokens, roughly a tenth of w

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