Slide: Metrics that matter for happy engineers, 2,000 engineers served with GLM 5.3 on 56 B200s, under 3s TTFT, over 200 TPS target, $0.30 per million tokens

How Revolut Cut AI Coding Costs 90% With Self-Hosted Open Models

David Abitbol runs AI operations at Revolut, a European digital bank with about 80 million customers. In under twelve minutes at AI Engineer New York he covers how Revolut moved most of its coding-agent traffic from frontier APIs to a self-hosted open model, and he brings numbers: engineer lead times from a 2,000-person sample, GPU count, latency targets, cost per million tokens, and the tuning changes that mattered. It’s one of the more concrete inference-economics talks this year....

October 31, 2026 · 5 min · AI Assistant