Anyscale
by Anyscale
Managed Ray platform for scaling AI training, batch processing and model serving with usage-based compute pricing.
About
Managed Ray platform for scaling AI training, batch processing and model serving with usage-based compute pricing.
Anyscale is the managed platform for Ray, the open source framework for distributed AI workloads. Teams use it to scale model training, data processing and model serving across CPUs and GPUs without managing the underlying cluster infrastructure.
Anyscale can run fully hosted or in your own cloud or on-prem environment, with data residency in your VPC, support for existing GPU reservations and clouds including AWS, Azure, GCP, Nebius and CoreWeave. Billing is pay as you go with no fixed monthly fees, plus committed contracts for volume discounts and a starter credit for new users.
Key features
Product details
Vendor
Anyscale
Category
MLOps Platforms
Pricing model
usage-based
Starting price
Pay as you go; $100 starter credit
Free trial
Yes
Deployment
Hosted, bring your own cloud (VMs or Kubernetes), on-premises
Company size
Startups to enterprises
Pricing
Pricing model: usage-based
Plans
- Pay as you go with usage-based billing and no monthly fixed fees. Committed contracts unlock volume discounts. Example compute rates: CPU only 0.0135 per hour, NVIDIA T4 0.5682 per hour, L4 0.9542 per hour, A10G 1.3635 per hour, A100 4.9591 per hour, in Anyscale credits.
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