# GPUsMarket vs Hugging Face Inference Endpoints (slim)

> Hugging Face Inference Endpoints scores 66.7 (B) to GPUsMarket's 39.6 (E) for gpu compute. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/gpusmarket-vs-hugging-face-inference-endpoints.md (~5,550 tokens) · this version ~2,980 tokens · JSON https://www.anchorterminal.com/compare/gpusmarket-vs-hugging-face-inference-endpoints.json · canonical https://www.anchorterminal.com/compare/gpusmarket-vs-hugging-face-inference-endpoints
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Hugging Face Inference Endpoints scores 66.7 (B) on agent readiness against GPUsMarket's 39.6 (E), and leads in 6 of 7 scored categories. GPUsMarket leads on payments & pricing. Both do gpu compute.

- GPUsMarket: E 39.6, rank #1337 of 1510 · https://www.anchorterminal.com/tools/gpusmarket.min.md
- Hugging Face Inference Endpoints: B 66.7, rank #358 of 1510 · https://www.anchorterminal.com/tools/hugging-face-inference-endpoints.min.md
- GPUsMarket, good for Cheap, short GPU rentals for open models behind an Ollama or OpenAI endpoint, where data sensitivity is low. Ahead on Payments & pricing, 30 against 20. Also Runs on your own machine.
- Hugging Face Inference Endpoints, good for Teams whose models already live on the Hugging Face Hub and who want a dedicated endpoint on a named cloud and region with standard open-source engines. Ahead on Reliability, 73 against 33; Schema & documentation, 73 against 52; Agent ergonomics, 62 against 50; Security & auth, 83 against 30; Maintenance & community, 80 against 69; Transparency & trust, 70 against 50. Also No incidents deducted, where GPUsMarket loses 3 points for them.

| Category | GPUsMarket | Hugging Face Inference Endpoints |
| --- | --- | --- |
| Reliability (16%) | 33 | 73 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 52 | 73 |
| Agent ergonomics (13%) | 50 | 62 |
| Security & auth (14%) | 30 | 83 |
| Payments & pricing (10%) | 30 | 20 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 69 | 80 |
| Transparency & trust (7%) | 50 | 70 |

| Fact (where they differ) | GPUsMarket | Hugging Face Inference Endpoints |
| --- | --- | --- |
| Vendor | Tyga.Cloud Ltd | Hugging Face, Inc. |
| Hosted endpoint | `https://gpusmarket.com/api/v1` | `https://api.endpoints.huggingface.cloud` |
| Transports | stdio, SSE (legacy) | HTTP |
| Auth | API key | OAuth or key |
| Licence | Proprietary. The gpusmarket CLI and gpusmarket-host packages ship under Tyga.Cloud Ltd licences that allow use only with the platform, as obfuscated JavaScript | Proprietary service under the Hugging Face Terms of Service. The `huggingface_hub` Python client and CLI are Apache-2.0 |
| Tools exposed | 32 | 19 |
| MCP registry | `io.github.jyswee/gpusmarket` | not listed |
| Last release | 2026-10-16 | 2026-10-29 |
| Terms last updated | 2026-06-01 | 2022-09-15 |
| Privacy policy last updated | 2026-03-01 | 2023-03-28 |
| Terms or service can change without notice | not found in the text | yes |
| Popularity | 1 stars, 79 npm/wk | 60M PyPI/wk |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Security & auth, Hugging Face Inference Endpoints +53: GPUsMarket 30 (Account keys are all-powerful within the account, with no scopes, expiry or rotation documented, but each rental gets its own proxy token (15). The per-rental token limits inference access to one rental; no read-only key or confirmation for destructive calls (6). Peer rentals send prompts and outputs through individuals' machines, protected only by the terms, with no prompt-injection or untrusted-host guidance (2). Per-rental usage stats of requests, tokens and cost (5). No security.txt, disclosure policy, bug bounty or certification; a DPO address for breaches. The CLI and host packages are obfuscated, so they can't be audited (2). 15+6+2+5+2 = 30.); Hugging Face Inference Endpoints 83 (OAuth through huggingface.co with `read-endpoints` and `write-endpoints` scopes, PKCE and dynamic client registration for the MCP server, and revocable fine-grained access tokens for the API. No documented option to send a token in a URL (30). Read and write scopes are separate, endpoints are private by default, organisations on Team and Enterprise plans can require approval of fine-grained tokens, and the MCP delete tool needs `confirm: true`. Other write calls have no confirmation step (17). The service returns the output and logs of the owner's own model, not third-party content (10). An audit log route and MCP tool on Pro, Team or Enterprise plans, plus logs and metrics for every endpoint (12). security.txt valid to 2030 with security@huggingface.co, SOC2 Type 2 stated for the Hub and Inference Endpoints, malware and pickle scanning of repositories. No bug bounty was found (14).)
- Reliability, Hugging Face Inference Endpoints +40: GPUsMarket 33 (Read with the hosted lines. No status page found; listing health is shown per listing only (0). No incident history to read (5). Rate limits published, 60 requests a minute per rental and 10 sign-ups an hour per IP (15). 429 is documented, but no Retry-After, backoff or idempotency guidance (3). The terms give no availability guarantee and put host outages on hosts (0). No beta label on the API (10). 0+5+15+3+0+10 = 33.); Hugging Face Inference Endpoints 73 (Better Stack status page at status.huggingface.co with separate Inference Endpoints UI and API components and 90 days of history (20). On 2 November 2026 both components show 100 per cent uptime, with one scheduled maintenance window for H200 on 7 October 2026. The page posts incidents for other services in the window (GPU Jobs and Spaces failing to start on 24 and 25 September), and none touches Inference Endpoints since the UI outage of 16 July left the 90 days, so a clean record (30). No rate limits were found for the management API. The Hub publishes limits per 5-minute window (1,000 API requests for a free user), without saying they cover api.endpoints.huggingface.cloud (5). The docs explain the 503 returned while a replica starts and the `X-Scale-Up-Timeout` header that holds the request, and advise 2 replicas for availability. No backoff guidance or idempotency keys for writes (8). No SLA found in the docs or on the pricing page (0). The service is generally available (10).)
- Schema & documentation, Hugging Face Inference Endpoints +21: GPUsMarket 52 (API and MCP reading. No OpenAPI or other machine-readable contract was found, and the MCP tool schemas couldn't be read because the published package is obfuscated; the repository's history says 2.4.7 added output schemas to all 32 tools, which is the vendor's claim (8). llms.txt as a complete API reference (10). llms.txt says when to use peer or cloud rentals, the proxy or the relay, and which workload each listing type serves (12). Parameters are listed by name without types, enums or required markers, apart from instance and workload types (6). curl examples for each flow, an error code list and a sample deploy response (11). npm versions, but no public changelog (5). 8+10+12+6+11+5 = 52.); Hugging Face Inference Endpoints 73 (Public OpenAPI 3.1 documents for the management API (42 paths, 48 operations on 2 November 2026) and the catalogue API (3 operations, per the 8 October check) (25). llms.txt with a Markdown twin of every docs page (10). Every operation has a summary tagged READ, WRITE, PUBLIC or PRO, but only 7 of 48 have a description. The MCP tool table states each tool's purpose and says to call `get_recommended_config` before `create_endpoint` (11). 131 typed schemas with required fields and enums for state, type and accelerator. List filters are comma-separated strings (12). Parameters carry examples. The management document lists only 200 responses on 45 of 48 operations, plus 501 on three log routes, while the catalogue document lists 400, 401, 404, 409 and 500 (7). Paths are versioned `/v2` and `/v3` and the document is version 2.0.0. Inference Endpoints has no changelog of its own. The Hub changelog and the docs repository history are the dated record (8).)
- Transparency & trust, Hugging Face Inference Endpoints +20: GPUsMarket 50 (Closed, under Tyga.Cloud licences that are clear on use, but the docs call gpusmarket-host MIT open source while the package says otherwise (10). The privacy policy gives retention periods and names Stripe and MongoDB, while renter data on peer hosts falls outside its controls, which the terms disclaim (15). The terms promise 30 days' notice of material changes, with no deprecation policy or dated notices found (5). Processors partly named, with transfers under SCCs, and no host locations shown in the docs read (6). 10+15+5+6 = 36.); Hugging Face Inference Endpoints 70 (Closed service under clear terms that name Inference Endpoints, with an Apache-2.0 client (20). The security page says payloads and tokens aren't stored and logs are kept 30 days. The privacy policy dates from 28 March 2023 and gives retention as long as necessary, and a data processing agreement requires an Enterprise subscription (20). Instance deprecations are dated to the month in the pricing table and flagged in the provider API, and the TGI maintenance notice is dated. No deprecation policy for the API was found (10). The privacy policy lists 11 subprocessors with countries and the docs and API list deployment regions (18).)
- Agent ergonomics, Hugging Face Inference Endpoints +12: GPUsMarket 50 (API and MCP reading. The README counts 32 MCP tools, and the decoded package includes 16 operator admin tools besides the renter tools, with no toolsets (5). Marketplace search takes `limit`, `offset`, `sort` and filters for GPU, price, VRAM, model, instance and workload type (20). Status codes with a one-line meaning each, no error bodies documented (10). No idempotency key on rent or deploy; stop and destroy return a cost summary (5). Only a Node CLI, though every proxy speaks the Ollama and OpenAI formats so existing SDKs work (10). 5+20+10+5+10 = 50.); Hugging Face Inference Endpoints 62 (List endpoints takes `limit` (default 20) and `cursor`, logs take `limit`, `tail` and `line_max_length`, and the MCP server has 19 tools (18). Cursor pagination, filters by state, type, task and tags, sorting, and a time window on logs (18). Errors are documented for the catalogue API and in prose for pause, resume and scale to zero. The management document has no error schema (8). No idempotency keys. Endpoints are addressed by name, updates are a PUT, and the MCP delete tool previews before a confirmed second call. MCP annotations weren't read (8). One-call deploy from the catalogue with tuned defaults, a Python client and the `hf endpoints` CLI. A second-language SDK for endpoint management wasn't found (10).)
- Maintenance & community, Hugging Face Inference Endpoints +11: GPUsMarket 69 (gpusmarket 2.5.1 on 16 October 2026, 21 days before this check (30). Releases 2.4.18 to 2.5.1 between 17 August and 16 October, and gpusmarket-host 1.5.3 and 1.6.0 (20). Support by chat widget; the repository, which holds only a README, server.json and a licence, has no open issues and one star (5). Published in the official MCP registry under the verified io.github.jyswee namespace, though the newest registry version, 2.4.16, trails npm (12). No dependencies, but an obfuscated build and no public CI (2). 30+20+5+12+2 = 69.); Hugging Face Inference Endpoints 80 (`huggingface_hub` v2.4.0 was tagged on 29 October 2026, and the docs repository changed on 23 October (30). Tags v2.0.0 (24 September), v2.1.0, v2.1.1, v2.2.0, v2.3.0 (23 October) and v2.4.0 in the 90 days, and docs commits on 14 and 15 October adding the `inferenceLoad` scaling strategy and a daily autoscaling schedule (20). GitHub's pages refused our requests, so issue response times went unread. A public changelog for the Hub, a forum and a quota contact form exist (8 of 15). Current official Python client and CLI (15). The client supports Python 3.10 and later and ships weekly. Its CI wasn't read (7).)