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.
4 Limits
Throttle: 429
AIDistributed ComputingRayML PlatformInferenceRate LimitingQuotasThrottling
Limits
Control-Plane API organization
see provider documentation
Pending reconciliation.
Concurrent Workspaces / Jobs / Services organization
bounded by cloud quotas and org limits
Practical concurrency is bounded by AWS / GCP instance and GPU quotas.
Cluster Node Counts cluster
bounded by autoscaling and cloud quotas
Configured per compute config and bounded by cloud GPU quotas.
Service Endpoint service
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.