← Back to Revolut makes self-hosted GLM models its default for AI coding across roughly 2,000 engineers on 56 Nvidia B200 GPUs

Source proof for Revolut makes self-hosted GLM models its default for AI coding across roughly 2,000 engineers on 56 Nvidia B200 GPUs

Source-bound proof

Verified source excerpts for every supported field

Each colour maps a published value to the exact source passage used to support it. Only bounded excerpts are public; administrators can inspect the complete captured source.

13 fields supported

Title

Revolut makes self-hosted GLM models its default for AI coding across roughly 2,000 engineers on 56 Nvidia B200 GPUs

derived · high
…lead time following its rollout of AI coding tools to roughly 2,000 engineers. Revolut initially adopted GLM-5.1 before moving to GLM-5.3, which it now serves using 56 Nvidia B200 GPUs. Prior to its switch to GLM, Revolut had been experimenting with AI, deploying G…
…60 percent improvement in coding time and a 70 percent improvement in lead time following its rollout of AI coding tools to roughly 2,000 engineers. Revolut initially adopted GLM-5.1 before moving to GLM-5.3, which it now serves…

Description

Revolut rolled out AI coding tools to roughly 2,000 engineers and moved from commercial services to self-hosted GLM models served on 56 Nvidia B200 GPUs, with a model router sending vision queries to Gemini or GPT. The company reports roughly 90 percent lower inference costs, a 60 percent improvement in coding time and a 70 percent improvement in lead time.

derived · high
…first step toward a Zen-based superchip to rival Nvidia's Vera Rubin 1 day ago Revolut says that in less than a year it's managed to slash its AI coding inference costs by roughly 90 percent by making self-hosted models its default instead of relying primarily on commercial services like Claude. Speaking at the AI Engineer conference in New York last month, David Abitbol, o…
…avid Abitbol, ops and infrastructure lead at the British fintech, described how it saw a 60 percent improvement in coding time and a 70 percent improvement in lead time following its rollout of AI coding tools to roughly 2,000 engineers. Revolut initially adopted GLM-5.1 before moving to GLM-5.3, which it now serves…
…nese model is text only, so it isn't ideal for things like UI work. So instead, Revolut used a model router to direct vision queries to models like Gemini or GPT Luna while keeping code generation running on GLM. REG AD "Open source is now a priority at Revolut, and our economics are favorab…

Company

Revolut

quote · high
British fintech Revolut slashes AI coding costs 10x by cutting out Claude and going self-hosted Jump to main content Search TOPICS Security All Security Cyber-crime Patches Re…

Country

United Kingdom

derived · high
British fintech Revolut slashes AI coding costs 10x by cutting out Claude and going self-hosted Jump to main content Search TOPICS Security All Security Cyber-crime Patches Re…

Region

Europe

derived · medium
British fintech Revolut slashes AI coding costs 10x by cutting out Claude and going self-hosted Jump to main content Search TOPICS Security All Security Cyber-crime Patches Re…

Industry

Financial Services

classification · high
British fintech Revolut slashes AI coding costs 10x by cutting out Claude and going self-hosted Jump to main content Search TOPICS Security All Security Cyber-crime Patches Re…

Problem

Revolut was skeptical about the cost of AI coding tools, seeing engineers spend $1,000 to $10,000 a month with little return, so it launched them with strict budget limits that left engineers with only a limited number of tokens.

quote · high
…menting with AI, deploying Gemini in early 2025 and Claude Code in early 2026. "We were highly skeptical about the cost of AI. We were seeing engineers spend $1,000 a month, $10,000 a month with not so much ROI, and so when we launched it we launched it with strict budget limits," Abitbol said. REG AD Because of this, engineers only had access to a limited n…

Solution

Revolut rolled out AI coding tools to roughly 2,000 engineers and made self-hosted GLM models its default, initially GLM-5.1 and then GLM-5.3, served on 56 Nvidia B200 GPUs. A model router sends vision queries to models such as Gemini or GPT while code generation stays on GLM.

derived · high
…lead time following its rollout of AI coding tools to roughly 2,000 engineers. Revolut initially adopted GLM-5.1 before moving to GLM-5.3, which it now serves using 56 Nvidia B200 GPUs. Prior to its switch to GLM, Revolut had been experimenting with AI, deploying G…
…nese model is text only, so it isn't ideal for things like UI work. So instead, Revolut used a model router to direct vision queries to models like Gemini or GPT Luna while keeping code generation running on GLM. REG AD "Open source is now a priority at Revolut, and our economics are favorab…

Business value

Revolut says it cut AI coding inference costs by roughly 90 percent in less than a year, and reports a 60 percent improvement in coding time and a 70 percent improvement in lead time following the rollout. Self-hosting GLM 5.1 at $0.30 per million tokens cost about a tenth of using OpenAI's Codex or Anthropic's Claude Code.

derived · high
…first step toward a Zen-based superchip to rival Nvidia's Vera Rubin 1 day ago Revolut says that in less than a year it's managed to slash its AI coding inference costs by roughly 90 percent by making self-hosted models its default instead of relying primarily on commercial services like Claude. Speaking at the AI Engineer conference in New York last month, David Abitbol, o…
…mber of tokens, so the company began investigating self-hosting its own models. At $0.30 per million input/output tokens, self hosting GLM 5.1 cost about a tenth of using OpenAI's Codex or Anthropic's Claude Code. And, as it turned out, when tokens are cheap, you stop worrying about how many…

AI capabilities

Generative AI

classification · high
…lead time following its rollout of AI coding tools to roughly 2,000 engineers. Revolut initially adopted GLM-5.1 before moving to GLM-5.3, which it now serves using 56 Nvidia B200 GPUs. Prior to its switch to GLM, Revolut had been experimenting with AI, deploying G…

Technology

GLM-5.3, GLM-5.1, Nvidia B200, Gemini, GPT

classification · high
…lead time following its rollout of AI coding tools to roughly 2,000 engineers. Revolut initially adopted GLM-5.1 before moving to GLM-5.3, which it now serves using 56 Nvidia B200 GPUs. Prior to its switch to GLM, Revolut had been experimenting with AI, deploying G…
…nese model is text only, so it isn't ideal for things like UI work. So instead, Revolut used a model router to direct vision queries to models like Gemini or GPT Luna while keeping code generation running on GLM. REG AD "Open source is now a priority at Revolut, and our economics are favorab…

Headline outcome

derived · high
…first step toward a Zen-based superchip to rival Nvidia's Vera Rubin 1 day ago Revolut says that in less than a year it's managed to slash its AI coding inference costs by roughly 90 percent by making self-hosted models its default instead of relying primarily on commercial services like Claude. Speaking at the AI Engineer conference in New York last month, David Abitbol, o…

Use case type

Software engineering assistance

classification · high
…60 percent improvement in coding time and a 70 percent improvement in lead time following its rollout of AI coding tools to roughly 2,000 engineers. Revolut initially adopted GLM-5.1 before moving to GLM-5.3, which it now serves…
Capture details
Captured
12 Nov 2026, 05:18 UTC
Extractor
fetch-strip@1
Snapshot hash
9b2d2576c5e916a04e9ae0668a214394140ca056c967a557ecb9fd6c66194e30