Benefits

Learning environments in minutes

Deploy deep learning environments in minutes using prepackaged and fully tested Docker images.

improve performance with optimized model training

Automatically improve performance with optimized model training for popular frameworks like TensorFlow, PyTorch, and Apache MXNet.

Quickly add machine learning

Quickly add machine learning (ML) as a microservice to your applications running on Amazon EKS and Amazon EC2.

Build custom ML workflows

Build custom ML workflows for training, validation, and deployment through integration with Amazon SageMaker, Amazon EKS, and Amazon ECS.

Use cases

Autonomous vehicle (AV) deployment

Develop advanced ML models at scale to deploy AV technology safely and quickly within your environments.

Natural language processing (NLP)

Reduce the time needed to deploy your ML models and accelerate time to production with up-to-date frameworks and libraries, including Hugging Face Transformers.

Healthcare data analysis

Analyze raw, disparate health data with advanced analytics, ML, and deep learning capabilities to identify trends and make predictions.