AI Development
AI development generates more data than traditional workflows: training runs, model checkpoints, generated code, dataset versions. BrontoFarm provides the temporal infrastructure to track, reproduce, and recover every iteration.
Learn How We Can HelpThe AI Development Challenge
AI development creates unique storage challenges:
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Experiment tracking: Which dataset + model + hyperparameters produced this result?
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Model checkpoints: Hours of training lost when storage fills up or gets corrupted.
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Dataset versioning: Reproducing results requires exact dataset state.
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AI-generated code: Copilot and Claude generate code faster than developers can commit.
Traditional Approach vs. Temporal
Manual checkpointing:
"I'll save this model every 10 epochs and hope nothing crashes"
BrontoFarm:
"Every write is preserved. Recover to any point, including mid-epoch."
AI Development Use Cases
Model Training
Every checkpoint preserved automatically. Recover from crashes, compare training runs, branch from any epoch.
- Automatic checkpoint preservation
- Instant rollback on failure
- Compare runs across time
Dataset Management
Version your training data alongside models. Reproduce experiments with exact dataset state.
- Dataset versioning
- Reproducible experiments
- Data lineage tracking
AI-Assisted Coding
AI coding assistants generate code faster than developers commit. Capture everything, decide what to keep later.
- Every save captured
- Recover discarded suggestions
- Full development history
Experiment Tracking
Correlate results with exact system state. No more "which version of the data did that run use?"
- Timestamp-based correlation
- Exact state reproduction
- Branch for variations
Coming Soon: BrontoRepo
BrontoRepo
Every artifact has a history
BrontoRepo is purpose-built for AI development workflows. Continuous versioning for code, models, and artifacts. Git captures intent. BrontoRepo captures reality.
Learn more about BrontoRepoAvailable Now
BrontoFiles
For datasets and notebooks
Mount as a filesystem. Every file save captured automatically. Perfect for Jupyter notebooks, training data, and model files.
BrontoDrive
For ML databases
Block storage for vector databases, feature stores, and training infrastructure. Instant branching for experiments.