established · -2.0 capability schema

GPU

Score 25.0 / 100 93 providers +11 via APIs 45 APIs Search apis.io →

Providers using this tag (93)

Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.

Exemplar 2 Complete, well-documented, and agent-ready
Strong 11 Solid coverage with minor gaps
Developing 20 Usable, with meaningful gaps to close
Thin 25 Limited public surface area
Emerging 20 Early or largely undocumented
Minimal 14 Almost no public developer surface
Unrated 1 Not yet scored

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 3 Complete, well-documented, and agent-ready
Strong 6 Solid coverage with minor gaps
Developing 12 Usable, with meaningful gaps to close
Hyperbolic GPU Marketplace APIDecentralized on-demand GPU compute marketplace renting idle H100, H200, A100, and RTX 4090 capacity from t...53.7Hyperbolic On-Demand GPU APIBare-metal GPU rental with SSH access for full control. Hourly rates from $1.39-$1.99 with no long-term com...53.7Lambda 1-Click ClustersLambda 1-Click Clusters provision interconnected clusters of 16 to 2,000+ NVIDIA H100 SXM or B200 GPUs for ...50.1Lambda Cloud APIThe Lambda Cloud API is the REST control plane for launching, listing, starting, stopping, and terminating ...50.1RunPod GraphQL APIThe RunPod GraphQL API provides programmatic access to Pods, templates, and Serverless endpoints via GraphQ...49.2RunPod ServerlessRunPod Serverless provides pay-as-you-go inference endpoints with autoscaling workers, queue-based and load...49.2Vast.ai REST APIThe Vast.ai REST API is the control plane for the GPU marketplace. It supports searching offers across host...49.1Akash Console Network Data APIPublicly accessible indexed API for querying provider information, GPU availability, resource statistics, a...46.0Akash Network Gpu APIThe Gpu API from Akash Network — 4 operation(s) for gpu.46.0Novita AI GPU APIOn-demand GPU instance management and templates plus serverless GPU endpoints. Create, start, stop, and del...44.6LanceDB EnterpriseDistributed, multi-tenant multimodal lakehouse. Adds curation and deduplication, Python UDF feature enginee...41.5Colab Runtime and Kernel ManagementGoogle Colab provides internal APIs for managing notebook runtimes and kernels, including connecting to hos...40.8
Thin 12 Limited public surface area
CoreWeave Kubernetes Service APIThe CKS API provisions and manages CoreWeave Kubernetes Service clusters and node pools on bare-metal GPU a...39.2AnyscaleAnyscale is the production-scale AI platform built on Ray by the creators of Ray, supporting LLM inference ...37.4NVIDIA NIMNVIDIA NIM is a set of inference microservices for streamlined AI model deployment, prebuilt and optimized ...37.4Together AITogether AI is a full-stack AI Native Cloud for inference, fine-tuning, and GPU clusters powered by researc...37.4IO Cloud Container-as-a-Service APIContainer-as-a-Service REST API for deploying GPU-backed containers across io.net's decentralized network. ...35.9IO Cloud MCP ServerHosted Model Context Protocol server at https://mcp.io.solutions/mcp that exposes IO Cloud provisioning and...35.9IO Cloud VM-as-a-Service APIVM-as-a-Service REST API for provisioning, extending, and terminating GPU virtual machines on io.net. Surfa...35.9Shadow GPU (OpenStack API)Shadow GPU is Shadow's sovereign GPU cloud, delivered as a curated OpenStack 2024.1 deployment rather than ...35.7NVIDIA Triton Inference Server HTTP APINVIDIA Triton Inference Server is an open-source inference serving software that implements the KServe Open...33.8vLLM OpenAI-Compatible APIvLLM is a high-throughput and memory-efficient inference engine for LLMs, implementing PagedAttention for e...33.8PennyLane LightningThe Lightning plugin family — `lightning.qubit` (C++ CPU), `lightning.gpu` (cuQuantum), and `lightning.kokk...30.8Cumulus Inference GatewayOpenAI-compatible HTTP inference gateway. One client works against every upstream provider; per-workflow ro...26.8
Emerging 8 Early or largely undocumented
Minimal 3 Almost no public developer surface

Companies reaching this through an API (11)

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.

AI Gateway Babylon.js Google Colab JD.com (Jingdong) LanceDB LF AI and Data Pasqal Scalable Inference Serving Scope3 Unreal Engine Xanadu

Score breakdown

Frequency
57.8
log-scaled weighted occurrences
Breadth
2.1
spread across providers
Quality lift
34.5
mean composite of providers using it
Cohesion
21.1
strength of nearest seed neighbor

Related tags

Inference 47 co-occurrences Compute 35 co-occurrences OpenAI-Compatible 20 co-occurrences AI Infrastructure 16 co-occurrences Cloud Computing 13 co-occurrences Chat Completions 16 co-occurrences

Where this tag comes from

Provider tag97
Api tag45
Openapi tag3
Openapi op tag10

Markets provisional

Kin Score markets whose measured providers carry this tag. Share is the fraction of the market's measured providers that carry it — it describes the market, not this tag.

MarketShare of the market's providers
MLOps and AI/ML Infrastructure (LF AI & Data, MLPerf, Kubeflow)21%

Cohort brief

Auto-generated

The 90 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.

Providers
90
of 93 in the catalog
Mean Kin Score
33.3
+11.1 vs catalog 22.2
Mean Agent Readiness
17.9
+5.9 vs catalog 12
Spread
0–66.9
median 34.6 · σ 17.8
How the 90 split by band
Exemplar 2Strong 11Developing 20Thin 25Emerging 19Minimal 13
Facet averages, against the whole catalog
FacetThis cohortCatalogDifferenceScored
Developer Ergonomics 42.1 23.2 +18.9 90
Contract Quality 29.6 17.2 +12.4 90
Access Clarity 36.3 23.9 +12.4 90
Discoverability 64.6 57.9 +6.7 90
Operational Transparency 19.3 13 +6.3 90
Contract Governance 8.3 6.5 +1.8 90

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.

What this cohort publishes
ArtifactThis cohortCatalogDifference
MCP server (any) 22% 13% +9
MCP server (first-party) 22% 12% +10
Agent Skills 0% 0% 0
OAuth scopes 4% 11% -7
Security 97% 98% -1
Arazzo workflows 4% 2% +2
Governance rules 23% 16% +7

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.

Top by Kin Score
  1. 1 Segmind 66.9
  2. 2 NexGen Cloud 66.5
  3. 3 fal 65.6
  4. 4 Paperspace 64.2
  5. 5 SAKURA internet 63.7
  6. 6 NVIDIA NIM 60.6
  7. 7 Mithril 60.5
  8. 8 RightNow AI 59.5
  9. 9 The San Francisco Compute Company 57.2
  10. 10 Simplismart 57
Top by Agent Readiness
  1. 1 The San Francisco Compute Company 55.9
  2. 2 Vultr 49.8
  3. 3 fal 48.1
  4. 4 NexGen Cloud 43.3
  5. 5 Thunder Compute 42.4
  6. 6 Polar Signals 41.2
  7. 7 OpenRelay 40.4
  8. 8 FriendliAI 39.6
  9. 9 Fireworks AI 39.4
  10. 10 Vast.ai 39
All 93 members of this roster resolve to a provider in the catalog; 90 carry a score (97%). The figures above describe the scored members only.
Coverage caveat. 74 of 90 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 24 October 2026, across 31984 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.

Work with this as data

Every tag here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for tags

7 MCP tools reach this
  • find_tagsBrowse and filter every tag in the catalog.
  • get_cohortThis tag as a scored cohort — every provider carrying it, with scores.
  • cohort_statsPRO — the distribution across this tag: mean, median, band split, adoption rates.
  • cohort_rankingsPRO — the leaderboard, on composite AND agent-readiness axes.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This tag
curl "https://apis.io/api/v1/tags/gpu"
All tags
curl "https://apis.io/api/v1/tags?limit=25"
As a scored cohort
curl "https://apis.io/api/v1/cohorts/tag/gpu"
The distribution (Pro)
curl "https://apis.io/api/v1/cohorts/tag/gpu/stats" \
  -H "X-API-Key: $APIS_IO_KEY"

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