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@nvidia: What does it actually take to run A/B testing at nearly a billion-user scale? Prudhvi Vatala, Head of Engineering Platforms at @Snap, expla...

@nvidia 3 信息等级 3 1 噪音/剔除；2 较弱；3 普通事实；4 重要行业动态；5 极重大事件。该分数是信息显著性，不是投资建议。 发布：2026-05-13T22:45 抓取：2026-05-14 04:03
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摘要

Snap工程平台负责人Prudhvi Vatala介绍团队将日均10+PB数据处理迁移至Google Cloud GPU加速管线，实现成本降低76%、内存占用减少80%，且无需代码更改。

客观事实
  • Snap迁移10+PB日数据处理至GPU加速管线
  • 成本降低76%，内存减少80%
  • 无需更改代码
Snap Google Cloud

原文

What does it actually take to run A/B testing at nearly a billion-user scale?

Prudhvi Vatala, Head of Engineering Platforms at @Snap, explains how his team migrated 10+ petabytes of daily data processing to GPU-accelerated pipelines on @GoogleCloud — cutting job costs by 76% and memory footprint by 80%, with zero code changes.

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