What does it actually take to run A/B testing at nearly a billion-user scale? Prudhvi Vatala, Head of Engineering Platf…
By NVIDIA · AI
What does it actually take to run A/B testing at nearly a billion-user scale? Prudhvi Vatala, Head of Engineering Platforms at @snapchat, 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. 📺 Watch the episode, link in bio.
Tags: AI Infra · Reel
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