Anything is Possible
Train your robot to cook, clean, or even dance. The possibilities are endless with our platform.
Key Benefits
How Training helps you accelerate robotics development
Built-in Algorithms
Access state-of-the-art learning algorithms optimized specifically for robotics, from imitation learning to reinforcement learning.
Custom Algorithm Support
Bring your own algorithms and deploy them on our platform with full GPU acceleration and managed infrastructure.
Automated Hyperparameter Optimization
Find optimal model parameters automatically with distributed sweeps and intelligent search strategies.
Experiment Tracking
Comprehensive tracking of all experiments with metrics, artifacts, and visualizations in a centralized dashboard.
Multi-GPU Training
Scale training across multiple GPUs for faster convergence on complex robotics tasks.
Model Versioning
Automatically track model versions, dependencies, and performance metrics for reproducibility and comparison.
Specialized Robotics Algorithms
Access a growing library of algorithms optimized specifically for robotics tasks
Behavior Cloning
Learn robot policies directly from demonstration data with our advanced behavior cloning algorithms. Supports multi-modal inputs and structured outputs.
- End-to-end learning from raw sensor inputs to actions
- Specialized architectures for visual data
- Regularization for better generalization
Reinforcement Learning
Train robots to optimize long-term objectives through interactive learning, with specialized algorithms for robotics challenges.
- Sample-efficient off-policy algorithms
- Sim-to-real transfer with domain randomization
- Safe exploration with constraint satisfaction
Foundation Models
Leverage pre-trained foundation models and transferable skills to accelerate learning on new tasks and robots.
- Models pre-trained on diverse robot data
- Cross-embodiment skill transfer
- Few-shot adaptation to new tasks
Enterprise-Grade Training Infrastructure
Focus on your algorithms, not managing GPU clusters
Elastic GPU Scaling
Automatically scale from a single GPU to multi-node clusters based on your training needs, with no infrastructure management.
Real-time Monitoring
Comprehensive dashboards for tracking training progress, resource utilization, and model performance in real-time.
Experiment Management
Organize, compare, and reproduce experiments with automatic versioning of code, data, and hyperparameters.
Distributed Training
Train models across multiple GPUs and nodes with automatic synchronization and fault tolerance.
Artifact Management
Automatically track and version all training artifacts including models, checkpoints, and evaluation results.
Fine-tune and Transfer
Easily fine-tune pre-trained models on new tasks or transfer learned skills to different robots with minimal effort.
Comprehensive Experiment Tracking
Our platform automatically tracks every aspect of your training experiments for complete reproducibility:
- Training metrics visualization
Real-time charts for loss, rewards, and custom metrics
- Hyperparameter tracking
Record all parameters and configurations for each run
- Resource utilization
Monitor GPU, CPU, memory usage, and training throughput
- Model performance comparisons
Side-by-side comparison of multiple training runs
