Solutions · AI / ML
Version datasets and models like code
Machine-learning teams juggle huge datasets, checkpoints, and artifacts. GitForge backs repositories with object storage and first-class LFS, so large files live where they belong — cheaply and durably.
- First-class Git LFS for datasets and checkpoints
- Back repos with your own S3 / R2 / GCS bucket
- Range reads and streaming for large objects
- Reproducible pipelines with CI
Datasets at scale
Store multi-gigabyte datasets in object storage with LFS — no bloated server-side git.
Your storage economics
Connect the bucket you already use for training data; pay the provider directly.
Track experiments
Branch, review, and version model code and configs alongside data references.
Automate
Run training or evaluation pipelines on push with the built-in CI.
Ready to bring your own storage?
Free to start · no credit card.