A highly performant, scalable, and enterprise-ready PyTorch experience on AWS

Benefits

Accelerate time to train

With Amazon EC2 instances, Amazon SageMaker, and PyTorch libraries.

Speed up research prototyping

To production scale deployments using PyTorch libraries.

Build your ML model

Using fully managed or self-managed AWS machine learning (ML) services.

Use cases

Distributed training for large language models

Use PyTorch Distributed Data Parallel (DDP) systems to train large language models with billions of parameters.

Inference at scale

Scale inference using SageMaker and Amazon EC2 Inf1 instances to meet your latency, throughput, and cost requirements.

Multimodal ML models

Use PyTorch multimodal libraries to build custom models for use cases such as real-time handwriting recognition.