Speeding Up AI: Bringing Google Colossus to PyTorch via GCSFS and Rapid Bucket- Google Developers Blog
Apr 29, 2026Trinadh Kotturu, Martin Durant

Summary
Introduced Rapid Bucket, a high-performance object storage solution leveraging Google's Colossus architecture and gRPC bidirectional streams for AI/ML workloads. Integrated Rapid Storage with PyTorch via `fsspec` and `gcsfs`, enabling significant performance gains (23% reduction in training time, 4.8x read throughput, 2.8x write throughput) by bypassing legacy REST APIs and utilizing zonal co-location for reduced latency. This integration requires no code rewrites for existing `fsspec` clients.
More from the Google Cloud Datastore trail
- Enterprise-Grade Precision for Long-Context Multimodal Embedding Inference on Cloud TPU- Google Developers Blog
- Explore the latest updates on Google Wallet- Google Developers Blog
- Simplified Dataflow Connectors with Managed I/O- Google Developers Blog
- Inference with Gemma using Dataflow and vLLM- Google Developers Blog
- Gemma for Streaming ML with Dataflow- Google Developers Blog