Revolut Says GLM Tuning Lifted Inference Speed 88% on 56 B200 GPUs

Revolut AI operations lead David Abitbol said tuning raised inference speed by 88% on the same hardware, as the fintech uses its self-hosted model as the default coding model for about 2,000 engineers. Abitbol discussed the result at the AI Engineer conference in New York. Revolut moved from GLM-5.1 to GLM-5.3 and runs the current system on 56 Nvidia B200 GPUs. He described the 88% gain as an inference result but did not define the speed measure or identify a benchmark baseline. It does not establish that engineers completed coding tasks 88% faster.