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7-8 April, 2025
Paris, France
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Note: The schedule is subject to change.

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Tuesday April 7, 2026 12:00 - 12:10 CEST


As PyTorch models scale to billions of parameters, the bottleneck has quietly shifted from compute to storage. Modern GPU clusters often sit idle, "starving" for data while waiting on legacy REST-based protocols. This talk introduces Rapid Storage: a fundamental architectural shift bringing Google’s Colossus stateful protocol (that powers many Google’s products) to PyTorch via fsspec , a common Pythonic file interface used by many frameworks within PyTorch ecosystem.
By bypassing REST APIs entirely via persistent gRPC streams to the storage layer, we eliminate protocol overhead. In this talk, we also dive into how Rapid achieves <1ms random read/write latency, 20x faster data access, and a massive 6 TB/s of aggregate throughput. Crucially, it delivers up to 10x lower tail latency for random I/O, preventing the stragglers that often stall distributed training jobs.
Beyond raw speed, we will deconstruct the integration with gcsfs and the broader fsspec ecosystem. This ensures that high-performance I/O is available across the entire data stack including Dask, Ray, HF Datasets and vLLM etc. Join us to learn how to stop wasting GPU cycles and achieve linear scaling in the cloud.
Speakers
avatar for Ankita Luthra

Ankita Luthra

Senior Software Engineer, Google
Ankita Luthra is a Software Developer at Google, focused on AI/ML infrastructure and scalable data pipelines. Her work with open-source tools like fsspec(gcsfs) and gcsfuse improves how frameworks such as PyTorch/ JAX efficiently access data from Google Cloud Storage.
avatar for Trinadh Kotturu

Trinadh Kotturu

Senior Product Manager, Google
Trinadh Kotturu is a Senior Product Manager specializing in AI/ML and analytics client strategy at Google. An alumnus of IIM Bangalore with 12 years of experience, he has a proven track record of shipping v1 products and scaling them into robust platform services. His expertise spans large-scale distributed storage systems, autonomous driving, and system resiliency... Read More →
Tuesday April 7, 2026 12:00 - 12:10 CEST
Master Stage
  Training Systems
  • Audience Level Any
  • Slides Attached Yes

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