Ollama

Local LLM runtime serving models over an HTTP API on CPU or GPU.

Provider
default
Category
Compute
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
bindAddress · component propertystring—no127.0.0.1inherited
contextLength · component propertyinteger—no4096inherited
embeddingSyncMinutes · advancedinteger—no—inherited
inputsenumlive | historical | bothnolive▸ live
instancesinteger—no—inherited
keepAliveMinutes · component propertyinteger—no5inherited
managedboolean—nofalse▸ false
port · component propertyinteger—no11434inherited
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: "ollama", component: "ollama" }
Other ML inference products · 37
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Ollama: local LLM runtime serving models over an HTTP API, on CPU or GPU.
# Defaults from the Ollama FAQ: binds 127.0.0.1:11434, context window 4096 tokens, models kept
# in memory for 5 minutes after the last request.
schemaVersion: "1"
type: "component"
id: "ollama"
kind: "ml-inference"
provider: "default"
docs: "https://docs.ollama.com/faq"
defaults:
  training: "batch"
  inputs: "live"
  managed: false
properties:
  port:
    type: "integer"
    default: 11434
  bindAddress:
    type: "string"
    default: "127.0.0.1"
  contextLength:
    type: "integer"
    default: 4096
  keepAliveMinutes:
    type: "integer"
    default: 5

The same page as markdown, for an agent: /catalogue/components/ollama.md