HAMI

HAMI (Heterogeneous AI Computing Virtualization Middleware) is an open-source project that enables GPU virtualization and sharing for Kubernetes workloads, allowing multiple AI containers to share GPU resources efficiently.

HAMI is profiled on the APIs.io network. Tagged areas include AI Computing, CNCF, GPU Virtualization, and Kubernetes.

HAMI’s developer surface includes documentation, engineering blog, and 1 more developer resources.

🌐 Visit website 📡 Source on GitHub

8.4/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

AI ComputingCNCFGPU VirtualizationKubernetes

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 8.4/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 2.2 / 20

Commercial Clarity 0.0 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 5.5 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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

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/hami: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Company 1

The organization behind the API

Blog

Blog

Source (apis.yml)

aid: hami
name: HAMI
description: HAMI (Heterogeneous AI Computing Virtualization Middleware) is an open-source project that enables GPU virtualization
  and sharing for Kubernetes workloads, allowing multiple AI containers to share GPU resources efficiently.
url: https://raw.githubusercontent.com/api-evangelist/hami/refs/heads/main/apis.yml
type: Index
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/hami.png
tags:
- AI Computing
- CNCF
- GPU Virtualization
- Kubernetes
created: '2025'
modified: '2026-04-28'
specificationVersion: '0.19'
apis: []
common:
- type: GitHubOrganization
  url: https://github.com/Project-HAMi/HAMi
- type: Documentation
  url: https://project-hami.io/docs/
- url: https://project-hami.io/blog/rss.xml
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com