Snap’s GPU-Accelerated Secret to Processing 10 Petabytes a Day | NVIDIA AI Podcast Ep. 298
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Published on 14 May 2026, 18:27
What does it actually take to run A/B testing at nearly a billion-user scale?
Prudhvi Vatala, Head of Engineering Platforms at @OfficialSnapchat 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: youtu.be/glT-zO8B_qk
#shorts
Prudhvi Vatala, Head of Engineering Platforms at @OfficialSnapchat 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: youtu.be/glT-zO8B_qk
#shorts
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