Anyscale · Rate Limits

Anyscale Rate Limits

Anyscale is a control-plane API for managing Ray compute. Throughput limits primarily come from the underlying cloud quotas (per-region instance and GPU quotas in the customer's AWS / GCP account or Anyscale's hosted account). Control-plane API call rates are not publicly documented and are pending reconciliation; service-level rate limits on Ray Serve services are controlled by user code and autoscaling configuration.

Anyscale Rate Limits is the machine-readable rate-limit profile for Anyscale on the APIs.io network, in the API Commons Rate Limits shape.

It captures 4 rate-limit definitions, measuring requests, concurrent, and nodes.

An exhausted limit returns HTTP 429.

This profile was written by API Evangelist and has not been verified against a page the provider published; treat every limit as unconfirmed until a dated transcription replaces it.

The profile also includes 2 backoff/retry policies defined and response codes documented for throttled.

Tagged areas include AI, Distributed Computing, Ray, ML Platform, and Inference.

4 Limits Exhausted: HTTP 429
Method: generated, dated 2026-05-08.
Written by API Evangelist on 2026-05-08 and not verified against a page the provider published. Treat every limit as unconfirmed until a dated transcription replaces it.
View Source
AIDistributed ComputingRayML PlatformInferenceRate LimitingQuotasThrottling

Limits

Control-Plane API organization
requests
see provider documentation
Pending reconciliation.
Concurrent Workspaces / Jobs / Services organization
concurrent
bounded by cloud quotas and org limits
Practical concurrency is bounded by AWS / GCP instance and GPU quotas.
Cluster Node Counts cluster
nodes
bounded by autoscaling and cloud quotas
Configured per compute config and bounded by cloud GPU quotas.
Service Endpoint service
requests
user-configured
Throughput on deployed Ray Serve services is controlled by application autoscaling.

Policies

Backoff Strategy
Clients should implement exponential backoff with jitter and honor Retry-After.
Cloud Quota Management
Request AWS / GCP quota increases ahead of large training or inference rollouts.

Sources

Work with this as data

Every rate limit here is available over the APIs.io API and to AI agents over MCP.

MCP server

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https://apis.io/mcp

Tools for rate limits

4 MCP tools reach this
  • find_rate_limitsBrowse and filter every rate limit in the catalog.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This rate limit 
curl "https://apis.io/api/v1/rate-limits/anyscale-rate-limits"
All rate limits 
curl "https://apis.io/api/v1/rate-limits?limit=25"

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