Anyscale Endpoints

ML inferenceanyscale-endpoints

OpenAI-compatible API for open LLMs on Ray Serve, retired as a shared API in August 2024.

Provider
default
Category
Compute
Also known as
Anyscale Private Endpoints
Properties · 4 set by this component
propertytypevaluesrequiredkind defaultthis component
acceleratorenumnone | gpu | asicnonone▸ gpu
acceleratorModel · advancedenumnvidia-h100 | nvidia-h200 | nvidia-b200 | nvidia-l4 | nvidia-a100 | amd-mi300x | aws-trainium | aws-inferentia | google-tpu | intel-gaudi | groq-lpu | cerebras-wseno—inherited
access · component propertyenumserverless | dedicatednoserverlessinherited
embeddingSyncMinutes · advancedinteger—no—inherited
inputsenumlive | historical | bothnolive▸ live
instancesinteger—no—inherited
managedboolean—nofalse▸ true
snapshotToObjectStore · advancedboolean—nofalseinherited
trainingenumbatch | onlinenobatch▸ batch
Rules that apply · 1

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
Use it in a design
nodes:
  - { id: "anyscale-endpoints", component: "anyscale-endpoints" }
Other ML inference products · 37
Source
# 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"

The same page as markdown, for an agent: /catalogue/components/anyscale-endpoints.md