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

AI Engineer
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David Abitbol, who leads AI operations at Revolut, shares data from 2,000 engineers on what AI tools did to coding time and lead time, and why self-hosting open-source GLM models made the biggest difference: about 60-70% faster delivery at roughly a tenth of what they were paying frontier labs. He covers the GPUs needed, the latency targets that keep engineers happy, the tuning that made the same hardware 88% faster, and how an EU-regulated bank keeps it compliant. Chapters: 0:00 Intro 0:36 Who Revolut is 1:18 What AI did to 2,000 engineers' lead time 2:45 Why they started self-hosting 3:33 Coding isn't the bottleneck 4:24 What it takes to self-host GLM 5:46 Tuning: same GPUs, 88% faster 7:06 The parameters that matter 8:14 Production setup 9:23 For the CIO: compliance and safety David Abitbol https://www.revolut.com Join us in SF for the second annual AIE CODE summit: https://aie.codes our last flagship summit of 2026. Applications live now!

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