kitio.aiAdded Oct 28, 2026
Anyscale
PaidManaged Ray platform for scaling AI training, data and serving
What is Anyscale?
Anyscale is the managed platform for Ray, the open-source framework for distributing Python and AI workloads across many machines. Teams use it to run large data processing, model training, batch inference and LLM serving in their own cloud.
Anyscale adds a faster Ray runtime, autoscaling clusters, observability, governance and developer workspaces on top of open-source Ray. Ray Serve with vLLM is a common pattern for serving open models on your own GPUs.
It deploys into AWS, Google Cloud or Kubernetes accounts, and billing is pay-as-you-go for compute managed by the platform, with no fixed monthly fee.
Features
- Managed Ray clusters
- Ray Serve for LLMs
- Batch inference
- Workspaces
- Runs in your cloud
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Releases
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Organization
Anyscale
🇺🇸 United States
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Paid
- Paid options from
- Not listed
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Pros and cons
Pros
- From the creators of Ray
- Scales data and training jobs
- Runs in your own cloud
Cons
- Ray has a learning curve
- Overkill for small projects
- Costs hard to estimate
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Q&A
What is Anyscale?
Anyscale is the managed platform for Ray, the open-source framework for distributing Python and AI workloads across many machines. Teams use it to run large data processing, model training, batch inference and LLM serving in their own cloud.
How much does Anyscale cost?
Anyscale is paid.
Is there a free version of Anyscale?
No. Anyscale is a paid tool.
What are the main features of Anyscale?
Managed Ray clusters, Ray Serve for LLMs, Batch inference, Workspaces, Runs in your cloud.
Who makes Anyscale?
Anyscale is made by Anyscale.
What are the best alternatives to Anyscale?
Popular alternatives include Nebius AI Cloud, Massed Compute, Hugging Face.