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Surge AI

ML platformsurge-ai

Expert human labelling for training and evaluating frontier models, driven through the Surge API.

Provider
default
Kind
ML platform
Category
Compute
Official docs
https://github.com/surge-ai/surge-python
Also known as
SurgeHQ
Properties · 3 set by this component
propertytypevaluesrequiredkind defaultthis component
computeInstancesinteger—no—inherited
experimentTrackingboolean—notrue▸ false
gpuEnabledboolean—no—inherited
managedboolean—nofalse▸ true
modelRegistryboolean—notrue▸ false
publicAccessboolean—no—inherited
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 redundancyerror
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: "surge-ai", component: "surge-ai" }
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and 21 more → ML platform page
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Surge AI: human data company supplying expert labelled data for training and evaluating frontier models. Per the
# surge-python SDK, projects and tasks are created through the Surge REST API with an API key from the user's profile.
schemaVersion: "1"
type: "component"
id: "surge-ai"
kind: "ml-platform"
provider: "default"
docs: "https://github.com/surge-ai/surge-python"
aliases: ["Surge", "SurgeHQ"]
defaults:
  managed: true
  experimentTracking: false
  modelRegistry: false

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