GPU
GPUGpu
Providers using this tag (91)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 3 Complete, well-documented, and agent-ready
Strong 6 Solid coverage with minor gaps
Developing 29 Usable, with meaningful gaps to close
Thin 24 Limited public surface area
Emerging 17 Early or largely undocumented
Minimal 12 Almost no public developer surface
APIs with this tag (44)
Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →
Exemplar 2 Complete, well-documented, and agent-ready
Strong 7 Solid coverage with minor gaps
Developing 13 Usable, with meaningful gaps to close
Thin 9 Limited public surface area
Emerging 13 Early or largely undocumented
Companies reaching this through an API (12)
These companies publish an API, specification or operation carrying “GPU” but do not classify their business under it. Listed unranked and kept out of the count above, because one tagged operation is not a statement about what a company does.
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 89 providers in the APIs.io catalog tagged GPU, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Developer Ergonomics | 41.5 | 23.4 | +18.1 | 89 |
| Contract Quality | 34.8 | 19.8 | +15 | 89 |
| Access Clarity | 36.3 | 26.5 | +9.8 | 89 |
| Operational Transparency | 23.3 | 14 | +9.3 | 89 |
| Discoverability | 66.8 | 61.2 | +5.6 | 89 |
| Contract Governance | 7.4 | 6.4 | +1 | 89 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 11% | 10% | +1 |
| MCP server (first-party) | 15% | 13% | +2 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 4% | 11% | -7 |
| Security | 98% | 97% | +1 |
| Arazzo workflows | 4% | 2% | +2 |
| Governance rules | 22% | 14% | +8 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
- 1 NVIDIA NIM 68.3
- 2 fal 67.6
- 3 Segmind 67.2
- 4 Modal 64.4
- 5 NexGen Cloud 64.3
- 6 Paperspace 61
- 7 Hyperbolic 59.4
- 8 TensorDock 56.7
- 9 Advanced Micro Devices 55.2
- 10 Mithril 53.1
- 1 The San Francisco Compute Company 53.4
- 2 NexGen Cloud 47.2
- 3 OpenRelay 40.6
- 4 FriendliAI 37.9
- 5 Polar Signals 37.6
- 6 fal 36.6
- 7 Fireworks AI 35.9
- 8 Novita AI 35.8
- 9 Advanced Micro Devices 34
- 10 Mithril 33.9
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.