PyTorch Open Source Machine Learning Framework for AI Model Development and Deployment

PyTorch

PyTorch is an open-source deep learning framework that is freely available for use. There are no licensing fees or subscription costs associated with downloading and using PyTorch itself.

Amazon SageMaker

A fully managed service that allows developers and data scientists to build, train, and deploy machine learning models. Costs are based on the type and number of instances used, storage, and data transfer. For example, hosting models on ml.g5.2xlarge instances can cost approximately $1.52 per instance hour. Utilizing multi-model endpoints can lead to significant cost savings by consolidating multiple models onto a single endpoint.

AWS Deep Learning AMIs

Pre-configured Amazon Machine Images with PyTorch installed. Costs depend on the chosen instance type and duration of use.

Cloud Deep Learning VM Image

Pre-configured virtual machines optimized for deep learning tasks. Pricing varies based on the selected machine type, GPU configuration, and usage duration.

Deep Learning Containers

Docker containers with PyTorch and other deep learning frameworks pre-installed. Costs are associated with the underlying Compute Engine instances used to run these containers.

Azure Machine Learning

A cloud-based service for building, training, and deploying machine learning models. Pricing is based on the compute resources, storage, and other services utilized during the machine learning lifecycle.

Pre-Configured Data Science Virtual Machines

Virtual machines with PyTorch and other data science tools pre-installed. Costs depend on the selected VM size and usage duration.

lightning.ai

Provides ready-to-use environments with PyTorch and PyTorch Lightning pre-installed. Offers a pay-as-you-go model with GPUs available from $0.40 per hour. Users receive 22 free GPU hours monthly upon signing up.