Anyscale Pricing

Maximize GPU utilization with Ray on Anyscale.

saves 50%

saves 50%

saves 99%

saves 75%

How does Anyscale pricing work?

Pay as you go

Anyscale offers you a pay-as-you-go approach. Only pay for the compute you use on demand.

Get started with $100 credit

Committed contracts

Unlock volume discounts and other benefits that scales with your usage. Have GPU reservations? Use them. The more you run, the more you save.

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Deploy how
you want
Hosted

Fastest way to get started with your first project. Fully managed infrastructure with no setup required.

Bring Your Own Cloud (BYOC)

Ready for Ray production workloads. Deploy inside your own cloud, or on-prem. Expert support available 24x7.

Deployment
  • Limited Regions
  • Deploy on VMs
  • Any cloud or region and on-prem
  • Deploy on VMs or K8s
Data Residency
  • Anyscale-managed infrastructure
  • Your VPC
Compute
  • Anyscale-hosted compute
  • Bring your own compute
  • Use existing GPU reservations
Billing
  • Monthly credit card invoices
  • Invoice via Anyscale or your cloud marketplace (AWS, Azure, GCP)
Support
  • Business hours only
  • 5 case submissions
  • Enterprise SLAs with 24x7 coverage
  • Unlimited case submissions

Usage-based billing

Only pay for what you use, no monthly fixed fees. Unlocks discounts as usage grows.

Compute Costs

Instance Containing:

CPU Only

from $0.0112 /hr

NVIDIA T4

from $0.1264 /hr

NVIDIA L4

from $0.1966 /hr

NVIDIA A10G

from $0.3545 /hr

NVIDIA A100

from $0.6388 /hr

NVIDIA H100

from $1.8603 /hr

NVIDIA H200

from $2.1411 /hr

Get started with $100 in Anyscale Credits

Multimodal AI workloads

An end-to-end workload with data processing, batch inference, distributed training and online serving.

Launch project with $3

LLM training and inference

Fine-tune an LLM to perform batch inference and online serving for entity recognition.

Launch project with $5

Deploy custom MCP servers

Build and deploy MCP servers using Ray Serve in HTTP streaming and STDIO modes.

Launch project with $5

FAQs