Snap Decisions: How Open Libraries for Accelerated Data Processing Boost A/B Testing for Snapchat
Nvidia AI Blog / 3/17/2026
📰 NewsDeveloper Stack & InfrastructureTools & Practical Usage
Key Points
- Snap has adopted Apache Spark accelerated by NVIDIA cuDF on Google Cloud to speed up its A/B testing workflow across thousands of experiments and 6,000 metrics.
- The company processes more than 10 petabytes of data in a three-hour window each morning, enabling rapid iteration on new features.
- The GPU-accelerated stack, combining cuDF with CUDA-X libraries and Google Kubernetes Engine, provides about 4x runtime speedups with the same number of machines and no code changes for easy deployment.
- Snap's approach aims to scale experimentation to more features, more metrics, and more users, illustrating a shift toward open data-processing libraries for scalable product testing.
- The move highlights a broader trend of GPU-accelerated, open data-processing libraries enabling cost-effective, scalable experimentation for large social apps.
The features on social media apps like Snapchat evolve nearly as fast as what’s trending. To keep pace, its parent company Snap has adopted open data processing libraries from NVIDIA on Google Cloud services to boost development. Every new feature rolled out to Snapchat’s more than 940 million monthly active users goes through a set […]
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