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

15.3/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0

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 2026-08-20 · rubric v0.12.0

Composite quality — 15.3/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 7.1 / 20

Access Clarity 0.0 / 20

Operational Transparency 2.4 / 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

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. 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. Want it done for you? Prioritized profiling — $2,500 →

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
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