Automate model development

  • State-of-the-art hyperparameter and architecture search
  • Push-button transfer learning and retraining
  • Works with TensorFlow, Keras or PyTorch

Focus on models, not infrastructure

  • Reliable distributed training
  • Share GPUs with your team
  • Run on bare metal, in Kubernetes, on-prem, or cloud

Explore, share, and reproduce results

  • Automatically track training inputs and output metrics
  • Reproducible, containerized training
  • Label and share experiments

Deploy painlessly

  • Explore models with deployment constraints
  • Simulate inference speed on deployment hardware
  • Automatically optimize your models for the edge, cloud, and mobile

Reduce Time to Market