LM Studio

ML inferencelm-studio

Desktop app and headless daemon that serves local models over OpenAI-compatible endpoints.

Provider
default
Category
Compute
Also known as
llmster
Properties · 3 set by this component
propertytypevaluesrequiredkind defaultthis component
acceleratorenumnone | gpu | asicnononeinherited
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
authRequired · component propertyboolean—nofalseinherited
embeddingSyncMinutes · advancedinteger—no—inherited
engine · component propertyenumllama-cpp | mlxnollama-cppinherited
inputsenumlive | historical | bothnolive▸ live
instancesinteger—no—inherited
managedboolean—nofalse▸ false
port · component propertyinteger—no1234inherited
serveOnLocalNetwork · component propertyboolean—nofalseinherited
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: "lm-studio", component: "lm-studio" }
Other ML inference products · 37
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# LM Studio: desktop app and headless daemon (llmster) that runs local models on llama.cpp or MLX and serves them over
# OpenAI-compatible endpoints. The server listens on port 1234, accepts only local connections until "Serve on Local
# Network" is switched on, and asks for no API token unless authentication is turned on in the server settings.
schemaVersion: "1"
type: "component"
id: "lm-studio"
kind: "ml-inference"
provider: "default"
docs: "https://lmstudio.ai/docs/developer/core/server"
aliases: ["llmster"]
defaults:
  training: "batch"
  inputs: "live"
  managed: false
properties:
  port:
    type: "integer"
    default: 1234
  serveOnLocalNetwork:
    type: "boolean"
    default: false
  authRequired:
    type: "boolean"
    default: false
  engine:
    type: "enum"
    values: ["llama-cpp", "mlx"]
    default: "llama-cpp"

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