Anyscale Endpoints
ML inferenceanyscale-endpoints
OpenAI-compatible API for open LLMs on Ray Serve, retired as a shared API in August 2024.
- Provider
- default
- Kind
- ML inference
- Category
- Compute
- Official docs
- https://docs.anyscale.com/
- Also known as
- Anyscale Private Endpoints
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| accelerator | enum | none | gpu | asic | no | none | ▸ gpu |
| acceleratorModel | enum | nvidia-h100 | nvidia-h200 | nvidia-b200 | nvidia-l4 | nvidia-a100 | amd-mi300x | aws-trainium | aws-inferentia | google-tpu | intel-gaudi | groq-lpu | cerebras-wse | no | — | inherited |
| access | enum | serverless | dedicated | no | serverless | inherited |
| embeddingSyncMinutes | integer | — | no | — | inherited |
| inputs | enum | live | historical | both | no | live | ▸ live |
| instances | integer | — | no | — | inherited |
| managed | boolean | — | no | false | ▸ true |
| snapshotToObjectStore | boolean | — | no | false | inherited |
| training | enum | batch | online | no | batch | ▸ batch |
Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.
stateful-node-without-zone-redundancy
A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.
- — all of these hold:
- — the node's `stateless` is false
- — the node sits inside exactly 1 availability-zone group
- — this does not hold:
- — the node sits inside at least one cell group
nodes:
- { id: "anyscale-endpoints", component: "anyscale-endpoints" }SageMaker endpointsagemaker-endpointAzure ML endpointazure-ml-endpointWorkers AIcloudflare-workers-aiBananabanana-devBasetenbasetenBeambeam-cloudBentoMLbentomlHugging Face Inference Endpointshuggingface-inferenceInfinityinfinity-embeddingsJanjanKServekservellama.cpp serverllama-cpp-serverllm-dllm-dLM Studiolm-studioLMDeploylmdeployLocalAIlocalaiGeneric ML inferenceml-inferenceMLC LLMmlc-llmModalmodalMystic AImystic-aiNVIDIA NIM (self-hosted)nvidia-nimOctoAIoctoaiOllamaollamaRay Serveray-serveSeldon Coreseldon-coreSGLangsglangTensorFlow Servingtensorflow-servingTensorRT-LLMtensorrt-llmText Embeddings Inferencetext-embeddings-inferenceText Generation Inferencetext-generation-inferenceTorchServetorchserveNVIDIA TritontritonvLLMvllmXinferencexinferenceVertex AI endpointvertex-ai-endpointOCI Data Science Model Deploymentoci-data-science-model-deploymentOCI Generative AI Dedicated AI Clusteroci-generative-ai-cluster
# yaml-language-server: $schema=../../schema/component.schema.json # Anyscale Endpoints: Anyscale's OpenAI-compatible API for open LLMs served on Ray Serve, with shared serverless # access or dedicated private endpoints. Retired August 2024: effective 1 August 2024 the multi-tenant Endpoints API # was removed, and LLM serving is available only as dedicated deployments on the hosted Anyscale Platform. schemaVersion: "1" type: "component" id: "anyscale-endpoints" kind: "ml-inference" provider: "default" docs: "https://docs.anyscale.com/" aliases: ["Anyscale Private Endpoints"] defaults: training: "batch" inputs: "live" accelerator: "gpu" managed: true properties: access: type: "enum" values: ["serverless", "dedicated"] default: "serverless"