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English(EN) https://www. youtube.com/watch?v=Ok6QdZHCcI8 The presentation explains how Revolut transformed its engineering productivity and AI costs by self-hosting open-so

Revolut 通过自托管模型将 AI 成本降低 90%,提高生产力

Revolut 通过在专用 GPU 基础设施上自托管开源 AI 模型(主要是 GLM)来显著降低其 AI 成本并提高工程生产力。这种方法使他们 2,000 名工程师能够广泛使用 AI,从而将编码时间缩短了 60%,工程交付时间提高了 70%。该公司发现,优化 AI 基础设施和工作流程比仅仅增加更多 GPU 更具影响力,在未增加容量的情况下实现了显著的性能提升。Revolut 采用混合策略,将前沿模型用于专业任务,同时优先考虑安全性、沙盒和监管合规性。 AI

影响 展示了一种可行且经济高效的策略,使企业能够集成 AI 基础设施并改进工程工作流程。

排序理由 一家使用自托管 AI 基础设施的大公司报告了显著的成本降低和生产力提升。[lever_c_demoted from significant: ic=1 ai=0.7]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Revolut 通过自托管模型将 AI 成本降低 90%,提高生产力

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一家使用自托管 AI 基础设施的大公司报告了显著的成本降低和生产力提升。[lever_c_demoted from significant: ic=1 ai=0.7]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    https://www. youtube.com/watch?v=Ok6QdZHCcI8 该演示文稿解释了 Revolut 如何通过自托管开源模型来转变其工程生产力和 AI 成本

    https://www. youtube.com/watch?v=Ok6QdZHCcI8 The presentation explains how Revolut transformed its engineering productivity and AI costs by self-hosting open-source AI models, particularly GLM, on dedicated GPU infrastructure. By giving its 2,000 engineers effectively unlimited a…