Azure Batch AI

Easily experiment and train your deep learning and AI models in parallel at scale

Easy deployment and flexibility

Focus on your workload, not your infrastructure by leaving resource provisioning and management to Batch AI. The service will deploy virtual machines, containers, and connect your shared storage and configure SSK for login. Batch AI Training provides a flexible programming model and SDK so you can easily integrate your own pipeline and workflow. Because Batch AI handles deployment, it’s easy to iterate on your networks and hyper-parameters.

High performance training

Batch AI works with all Microsoft Azure VM families, including the latest NVIDIA GPU’s connected with InfiniBand. This gives you the ability to scale the compute resources to whatever your models and training data require. The same powerful infrastructure Microsoft uses for its AI development is now available to you, on demand.

Supports any framework

Use any AI framework or libraries. Azure Batch AI has deep support for CNTK, TensorFlow, Chainer, and more. Or bring your code in a Docker Container and we’ll handle the rest. Batch AI supports the Azure command line, Jupyter Notebooks, scripting the service using our Python library, and integrating workflows with the REST API and SDK for C#, Java and other languages. You can use the tooling you’re comfortable with.

Relaterede produkter og tjenester

Machine Learning-tjenester

Stil AI til rådighed for alle med en skalerbar end-to-end-platform, der er tillid til, med Eksperimenteren og Modeladministration


Klargør Hadoop-, Spark-, R Server-, HBase- og Storm-klynger i clouden

Virtuelle maskiner

Klargør virtuelle Windows- og Linux-maskiner på få sekunder

Få mere at vide

Get started with Batch AI