Core Capabilities
Workspaces
Organize members, resources, settings, billing, and repository access with role-based permissions.
Evaluation Runs
Score a rollout against a dataset and inspect aggregate results and individual samples before or independently of training.
Training Runs
Submit and monitor RL training with managed GPUs, configurable hyperparameters, metrics, and checkpoints.
Benchmarks
Run agents against published task suites and compare their results on workspace leaderboards.
Datasets
Upload and validate JSONL, CSV, or Parquet datasets up to 5 GiB for evaluation and training.
Models
Inspect supported base models and trained LoRA checkpoints, with export and deployment options when available.
Git Integration
Connect a workspace repository so submitted runs use a traceable version of your rollout and config.
Ready to Get Started?
Onboarding
Create or join a workspace, connect its repository, and authenticate the CLI.
Multiply Quickstart
Run the included example from dataset upload through training submission.
Custom Rollout Guide
Build and validate a rollout for your own task or dataset.