BentoML · Rate Limits

Bentoml Rate Limits

BentoCloud does not publish fixed platform-level API rate limits. Instead, concurrency and throughput are governed by per-deployment configuration. Each BentoML service deployment defines its own concurrency ceiling and scaling bounds. BentoCloud autoscales replicas to meet demand within the configured min/max replica range. An optional external request queue can buffer excess traffic to prevent overload. Specific platform quotas (API management calls, organization-level limits) are not publicly documented and may vary by plan tier; contact BentoML sales for enterprise quota details.

Bentoml Rate Limits is the machine-readable rate-limit profile for BentoML on the APIs.io network, conforming to the API Commons Rate Limits specification.

It captures 6 rate-limit definitions.

Tagged areas include Machine-Learning, Model Serving, Inference, Artificial Intelligence, and REST API.

6 Limits
Machine-LearningModel ServingInferenceArtificial IntelligenceREST APIMLOpsDeploymentGPULLMBentoCloud

Limits

Service Concurrency per-replica
Minimum Replicas per-deployment
Maximum Replicas per-deployment
Request Timeout per-service
External Queue Buffering per-deployment
Autoscaler Stabilization Window per-deployment

Work with this as data

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

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

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/bentoml-rate-limits"
All rate limits 
curl "https://apis.io/api/v1/rate-limits?limit=25"

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