Posted 1/29/2024, 5:05:12 PM
Google Speeds Up Machine Learning Engineering with Faster Builds and Efficient Distribution
- Slow build times and inefficient packaging of executables was wasting significant time for ML engineers
- Addressed build non-determinism to allow re-use of cached artifacts, reducing rebuild times
- Implemented Content Addressable Filesystem (CAF) for incremental packaging and distribution
- CAF uses content-based addressing and peer-to-peer distribution for efficiency
- Further improvements planned including on-demand fetching and enforcing uniform revisions