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Anyscale on Azure, powered by Ray

Build and deploy AI with Ray in your own Azure tenant on AKS.
Use Azure-native security and pay with your existing consumption commitment.

Own your AI, on an open-source stack

Anyscale is powered by Ray, the open-source engine for distributed AI: data processing, training, and inference in Python. Anyscale runs it on AKS, the Kubernetes your team already operates. Your code stays on open-source Ray APIs.

+80% GPU utilization

Orchestrate multiple workloads on a shared resource pool with priority-aware workload scheduling across reserved or on-demand GPUs.

4x faster development

Developers use the open-source libraries they know, like PyTorch and vLLM. Anyscale handles cluster operations.

Runs in your tenant

Your data, models, and compute never leave your Azure subscription. Existing governance and access controls apply unchanged.

Customers

Empowering customers building the next generation of AI

Wayve uses Ray, and increasingly Anyscale on Azure to run distributed ML and data pipelines across large CPU and GPU fleets with improved efficiency and resiliency.”
Girish Venkataramani avatar
Girish Venkataramani
VP of Engineering
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Anyscale scales AI on Azure

See how to train and serve models on your own Azure infrastructure

Azure Native Integration

Built on the Azure services you already use

Identity, policy, and billing integrated with Azure services you already trust.

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Azure Kubernetes Service

Ray workloads run on AKS in your subscription. Anyscale manages the cluster lifecycle.

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Microsoft Entra ID

Single sign-on over OAuth with your existing identity provider. No separate identity store to manage.

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Azure RBAC

Authorization with built-in roles, scoped to organizations, projects, and workloads.

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Azure Policy

Your existing compliance policies apply to Anyscale resources, unchanged.

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Azure Key Vault

Secrets and credentials stay in your Key Vault and are referenced by Anyscale workloads.

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Azure Marketplace

Purchase on your Microsoft invoice. Spend counts toward your Azure consumption commitment.

Explore Anyscale on Azure

Learn how to deploy your first Ray workload inside your Azure subscription.

Frequently Asked Questions

Explore Anyscale on Azure today