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Anyscale is the managed platform built by the creators of Ray, the open-source framework for distributed Python and AI workloads. It gives teams a way to scale data processing, model training, hyperparameter tuning, and large-scale inference across clusters without managing the underlying orchestration. Anyscale handles autoscaling, scheduling, and observability so teams can run Ray applications in production reliably.
Anyscale is used by companies building large language models, recommendation systems, and batch AI pipelines that outgrow a single machine. Because it is Ray-native, code written locally scales to thousands of cores with minimal changes, and the platform adds enterprise features like governance, cost controls, and managed clusters on top of open-source Ray.
Pricing Model
PAID
Starting Price
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Free Options
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| Feature | Pay as you go Popular | Enterprise |
|---|---|---|
| Managed Ray clusters | — | |
| Autoscaling compute | — | |
| Cluster dashboards | — | |
| Ray Train and Ray Data | — | |
| Runs in your cloud | — | |
| Everything in Pay as you go | — | |
| Governance and RBAC | — | |
| Cost controls and quotas | — | |
| Dedicated support | — | |
| Advanced security | — |
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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