Luminal

Luminal is an AI inference-optimization company that compiles machine-learning models ahead-of-time into optimized native code for GPUs and ASICs, aiming to deliver the fastest, highest-throughput inference available. Its core product is an open-source, high-performance general-purpose inference compiler written in Rust (the "luminal" crate), built around static computation graphs, a compile-time-checked GraphTensor API, composable neural-network modules, and pluggable graph compilers. Luminal ships two deployment paths: Luminal Cloud, a managed serverless inference service with automatic scaling, and licensed on-prem deployment with dedicated support and custom optimization. The company is backed by Felicis.

Luminal is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Inference, and Compilers.

Luminal’s developer surface includes documentation, getting-started guide, API reference, engineering blog, support, and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub

16.2/100 emerging ▬ flat Agent 0/100 human only self hosted · Apache-2.0 Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence Machine-Learning Inference Compilers GPU Deep Learning Rust Developer Tools Open-Source

Kin Score

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

Composite quality — 16.2/100 · emerging

Contract Quality 0.0 / 23

Developer Ergonomics 6.4 / 18

Access Clarity 0.0 / 18

Operational Transparency 2.2 / 12

Contract Governance 0.0 / 11

Discoverability 5.2 / 9

Open Source Surface 2.5 / 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

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

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.

The six quality facets above are damped to 90 points between them, because the conditional facet above carries the other 10. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 90% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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/luminal: 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.

Luminal Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

SourceCode

SourceCode

Packages

Packages

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

IssueTracker

IssueTracker

Releases

Releases

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

License

License

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: luminal
deliveryModel:
  model: self-hosted
  license: Apache-2.0
  open_source: true
  commercial: false
  callable_host: false
  label: Self-hosted open source · you run it yourself
  confidence: high
  source:
  - license
  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/luminal.png
name: Luminal
description: 'Luminal is an AI inference-optimization company that compiles machine-learning models ahead-of-time into optimized
  native code for GPUs and ASICs, aiming to deliver the fastest, highest-throughput inference available. Its core product
  is an open-source, high-performance general-purpose inference compiler written in Rust (the "luminal" crate), built around
  static computation graphs, a compile-time-checked GraphTensor API, composable neural-network modules, and pluggable graph
  compilers. Luminal ships two deployment paths: Luminal Cloud, a managed serverless inference service with automatic scaling,
  and licensed on-prem deployment with dedicated support and custom optimization. The company is backed by Felicis.'
url: https://raw.githubusercontent.com/api-evangelist/luminal/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- felicis
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Inference
- Compilers
- GPU
- Deep Learning
- Rust
- Developer Tools
- Open-Source
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Inference
- Compilers
- GPU
- Deep Learning
- Rust
- Developer Tools
- Open Source
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: IssueTracker
  url: https://github.com/luminal-ai/luminal/issues
- type: Releases
  url: https://github.com/luminal-ai/luminal/releases
- type: License
  name: Apache-2.0
  url: https://github.com/luminal-ai/luminal/blob/main/LICENSE
- type: Website
  url: https://luminal.com
- type: Documentation
  url: https://docs.luminalai.com
- type: GettingStarted
  url: https://docs.luminalai.com/docs/quickstart
- type: APIReference
  url: https://docs.luminalai.com/docs/graphtensor
- type: Blog
  url: https://blog.luminal.com
- type: GitHubOrganization
  url: https://github.com/luminal-ai
- type: SourceCode
  url: https://github.com/luminal-ai/luminal
- type: Support
  url: https://discord.gg/VQf3j8WWNd
- type: Packages
  url: packages/luminal-packages.yml
- type: LLMsTxt
  url: llms/luminal-llms.txt
- type: DomainSecurity
  url: security/luminal-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 3
  pass: local-v1

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