Graphcore

Graphcore is a semiconductor and AI-computing company that designs the Intelligence Processing Unit (IPU), a processor purpose-built for machine intelligence workloads, along with the IPU-Machine, IPU-POD and Bow systems that scale it. Its developer surface is the Poplar SDK software stack -- Poplar, PopART (Poplar Advanced Runtime), PopTorch (a PyTorch interface for the IPU) and PopLibs -- distributed as open-source components on GitHub and as prebuilt wheels in the Poplar SDK download. Graphcore targets training and inference for deep-learning models and integrates with standard frameworks such as PyTorch, TensorFlow and ONNX. Founded in Bristol, UK, Graphcore became part of SoftBank Group in 2024. It exposes no public REST API; this profile catalogs its software developer surface. Surfaced originally as a portfolio company of Atomico, Balderton Capital and DCVC and enriched by the API Evangelist pipeline.

Graphcore is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Semiconductors, and AI Accelerator.

Graphcore’s developer surface includes documentation, engineering blog, support, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub

17.0/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence Machine-Learning Semiconductors AI Accelerator Hardware Deep Learning SDK Developer Tools

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 17.0/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 6.7 / 20

Access Clarity 4.2 / 20

Operational Transparency 0.3 / 13

Contract Governance 0.0 / 12

Discoverability 5.7 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/graphcore: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Graphcore Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Downloads

Downloads

Source (apis.yml)

aid: graphcore
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/graphcore.png
name: Graphcore
description: Graphcore is a semiconductor and AI-computing company that designs the Intelligence Processing Unit (IPU), a
  processor purpose-built for machine intelligence workloads, along with the IPU-Machine, IPU-POD and Bow systems that scale
  it. Its developer surface is the Poplar SDK software stack -- Poplar, PopART (Poplar Advanced Runtime), PopTorch (a PyTorch
  interface for the IPU) and PopLibs -- distributed as open-source components on GitHub and as prebuilt wheels in the Poplar
  SDK download. Graphcore targets training and inference for deep-learning models and integrates with standard frameworks
  such as PyTorch, TensorFlow and ONNX. Founded in Bristol, UK, Graphcore became part of SoftBank Group in 2024. It exposes
  no public REST API; this profile catalogs its software developer surface. Surfaced originally as a portfolio company of
  Atomico, Balderton Capital and DCVC and enriched by the API Evangelist pipeline.
url: https://raw.githubusercontent.com/api-evangelist/graphcore/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- atomico
- balderton-capital
- dcvc
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Semiconductors
- AI Accelerator
- Hardware
- Deep Learning
- SDK
- Developer Tools
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Semiconductors
- AI Accelerator
- Hardware
- Deep Learning
- SDK
- Developer Tools
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/graphcore-domain-security.yml
- type: Website
  url: https://www.graphcore.ai
- type: Documentation
  url: https://docs.graphcore.ai/
- type: DeveloperPortal
  url: https://docs.graphcore.ai/
- type: Blog
  url: https://www.graphcore.ai/blog
- type: GitHubOrganization
  url: https://github.com/graphcore
- type: Support
  url: https://www.graphcore.ai/contact
- type: TermsOfService
  url: https://www.graphcore.ai/termsofuse
- type: PrivacyPolicy
  url: https://www.graphcore.ai/privacy
- type: Downloads
  url: https://www.graphcore.ai/downloads
- type: Packages
  url: packages/graphcore-packages.yml
- type: SDKs
  url: packages/graphcore-packages.yml
- type: WellKnown
  url: well-known/graphcore-well-known.yml
- type: LLMsTxt
  url: llms/graphcore-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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