{ "data": { "a": { "slug": "cloud-run-gpus", "name": "Cloud Run GPUs", "vendor": "Google Cloud", "vendorUrl": "https://cloud.google.com/run", "kind": "platform", "category": "gpu-compute", "summary": "Cloud Run GPUs attach one NVIDIA L4 or RTX PRO 6000 Blackwell GPU to a Cloud Run service, job or worker pool, so a container serves models serverlessly, billed per second and able to scale to zero.", "url": "https://www.anchorterminal.com/tools/cloud-run-gpus", "markdownUrl": "https://www.anchorterminal.com/tools/cloud-run-gpus.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cloud-run-gpus.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cloud-run-gpus.json", "dns": "cloud-run-gpus.grade.anchorterminal.com", "license": "Proprietary service under the Google Cloud Platform terms. Client libraries are Apache-2.0", "transports": [], "remoteUrl": "https://run.googleapis.com", "packages": [ { "registry": "pypi", "name": "google-cloud-run" }, { "registry": "npm", "name": "@google-cloud/run" } ], "auth": "oauth", "authNotes": "Deploys go through the Cloud Run Admin API with OAuth 2.0 bearer tokens from a service account or Application Default Credentials, under IAM roles such as roles/run.developer and roles/run.invoker. A deployed service can require IAM authentication or allow public calls. A project with billing enabled is set up in the console first.", "pricing": "usage", "pricingNotes": "Per second, instance-based billing only. L4 $0.0001867 a second (about $0.67 an hour) without zonal redundancy, $0.0002909 with; RTX PRO 6000 $0.00036522 (about $1.31 an hour) and $0.00056913. CPU and memory extra, with a minimum of 4 vCPU and 16 GiB (L4) or 20 vCPU and 80 GiB (RTX PRO 6000).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on the Cloud Run pricing, GPU or quotas pages (checked 2026-11-06). Billing runs through a Google Cloud billing account.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://docs.cloud.google.com/run/docs/configuring/services/gpu", "openapi": "https://run.googleapis.com/$discovery/rest?version=v2", "capabilities": [ "compute.serverless", "compute.gpu", "compute.endpoints", "compute.containers", "compute.batch" ], "tags": [ "hosted", "official", "usage", "per-second", "scale-to-zero", "sla", "status-page", "discovery-doc", "l4", "rtx-pro-6000" ], "lastRelease": "2026-10-30", "graded": true, "anchor": { "graded": true, "score": 68.4, "grade": "B", "agentReady": false, "rank": 288, "ranked": true, "rankOf": 1486, "categoryRank": 2, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 80, "payments": 20, "reliability": 70, "schema": 81, "security": 78, "transparency": 84 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "Serverless GPUs on Cloud Run, an L4 or RTX PRO 6000 per instance, billed per second, scaling to zero and starting in about 5 seconds before the model loads, with a published SLA and IAM. One GPU per instance, 3 GPUs of default quota a region and instance-based billing limit it to small and mid-size models.", "bestFor": "Serving small and mid-size open models, or batch jobs, from a container that should scale to zero.", "strengths": [ "Scales to zero, bills per second, and instances with drivers start in about 5 seconds", "SLA of 99.95% with zonal redundancy and 99.5% without, plus Google's status feed", "IAM roles for deploying and invoking, Cloud Audit Logs and services that can require authentication", "Per-second prices public, L4 from about $0.67 a GPU-hour without zonal redundancy", "The same GPU option on services, jobs (up to 12 hours) and worker pools" ], "weaknesses": [ "One GPU per instance, L4 (24 GB) or RTX PRO 6000 (96 GB) only, so large models don't fit", "Default quota is 3 GPUs a region; more needs a quota request", "Model load time comes on top of the 5-second start, and minimum instances bill while idle", "No free GPU tier, and the trial credit needs a payment method", "Google's APIs accept OAuth tokens in a URL query parameter" ], "agentNotes": [ "Pass `--gpu 1 --gpu-type nvidia-l4` (or nvidia-rtx-pro-6000) with at least 4 vCPU and 16 GiB, and `--no-cpu-throttling` for instance-based billing", "Load model weights from Cloud Storage at startup in parallel; bake them into the image only below about 10 GB", "Turn zonal redundancy off for cheaper, more readily granted quota when failover isn't required", "Set minimum instances to 0 unless cold starts matter, since minimum instances bill at the full rate", "Send OAuth tokens in the `Authorization` header, never as `access_token` in the URL" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 68.4 } ], "editorialScores": { "ergonomics": 66, "maintenance": 80, "payments": 20, "reliability": 70, "schema": 81, "security": 78, "transparency": 69 }, "provenanceScore": 99, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "headless": { "command": "gcloud run deploy SERVICE --image IMAGE --gpu 1 --gpu-type nvidia-l4 --cpu 4 --memory 16Gi --no-cpu-throttling --region europe-west1" } }, "letme": { "capability": "https://letme.dev/compute.serverless", "tool": "https://letme.dev/cloud-run-gpus" }, "sameCompany": [ "gemini-api", "vertex-ai", "gemini-embedding", "vertex-ai-tuning", "google-model-armor", "google-imagen", "google-veo", "google-lyria", "google-speech-to-text", "google-cloud-tts", "gemini-live", "google-adk", "google-memory-bank", "google-secret-manager", "google-cloud-document-ai", "google-weather-api", "chrome-devtools-mcp", "google-maps-platform", "google-cloud-translation", "google-calendar-api", "firebase-cloud-messaging", "google-cloud-storage", "google-drive-api", "gemini-enterprise", "gemini-cli", "google-search-console", "google-ads-api", "google-forms", "google-sheets-api", "gmail-api", "google-people-api" ], "area": "models", "unitPrices": [ { "item": "NVIDIA L4, no zonal redundancy", "unit": "gpu-hour", "usd": 0.67, "note": "$0.0001867 a second, tier 1 regions; CPU and memory extra" }, { "item": "NVIDIA L4, zonal redundancy", "unit": "gpu-hour", "usd": 1.05, "note": "$0.0002909 a second" }, { "item": "NVIDIA RTX PRO 6000, no zonal redundancy", "unit": "gpu-hour", "usd": 1.31, "note": "$0.00036522 a second" }, { "item": "NVIDIA RTX PRO 6000, zonal redundancy", "unit": "gpu-hour", "usd": 2.05, "note": "$0.00056913 a second" } ], "provenance": { "legalEntity": "Google LLC", "domain": "google.com", "domainRegistered": "1997-09-15", "domainNote": "The endpoints are on googleapis.com, Google's API domain. Docs are on docs.cloud.google.com.", "endpointOnVendorDomain": true, "terms": "https://cloud.google.com/terms", "privacy": "https://cloud.google.com/terms/cloud-privacy-notice", "statusPage": "https://status.cloud.google.com", "changelog": "https://docs.cloud.google.com/run/docs/release-notes", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "Legal entity, terms, privacy notice and security.txt as on the Google Cloud Document AI listing, checked 1 November 2026, and not re-read for this listing.", "docs.cloud.google.com/robots.txt and cloud.google.com/robots.txt allow the Cloud Run pages read; status.cloud.google.com/robots.txt allows everything.", "The Cloud Run SLA lists GPU services separately, 99.95% with zonal redundancy and 99.5% without (https://cloud.google.com/run/sla)." ], "score": 99 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cloud-run-gpus.json", "live": { "slug": "cloud-run-gpus", "probe": { "target": "https://run.googleapis.com", "method": "get", "lastAt": "2026-11-07T18:20:17.664716666Z", "lastOk": true, "lastStatus": 404, "lastMs": 159, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 35, "p95ms24h": 120, "samples24h": 200, "samples30d": 200, "days": [ { "date": "2026-11-06", "probes": 13, "ok": 13 }, { "date": "2026-11-07", "probes": 187, "ok": 187 } ] }, "vendorStatus": { "page": "https://status.cloud.google.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-07T04:47:16.629467571Z" }, "versions": [ { "registry": "npm", "name": "@google-cloud/run", "version": "4.2.0", "seenAt": "2026-11-06T23:15:29.275446701Z" }, { "registry": "pypi", "name": "google-cloud-run", "version": "0.16.2", "released": "2026-10-01", "seenAt": "2026-11-06T23:15:27.277547645Z" } ], "npmWeekly": 1706675, "pypiWeekly": 3039289, "securityTxt": { "url": "https://google.com/.well-known/security.txt", "state": "valid", "expires": "2030-04-01T00:00:00z", "checkedAt": "2026-11-07T16:01:22.068349931Z" }, "pages": [ { "url": "https://docs.cloud.google.com/run/docs/release-notes", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:05:47.69894113Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "924ee0205e11" }, { "url": "https://cloud.google.com/terms/cloud-privacy-notice", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:01:29.495526727Z", "changedAt": "2026-11-03T07:43:24.319773868Z", "fingerprint": "b62369d64ac6" }, { "url": "https://cloud.google.com/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:01:27.593286996Z", "changedAt": "2026-11-03T07:43:22.480965239Z", "fingerprint": "b9ec671a2caf" } ], "updatedAt": "2026-11-07T18:20:17.664716666Z" } }, "answer": "Cloud Run GPUs scores 68.4 (B) on agent readiness against GPUsMarket's 39.6 (E), and leads in 6 of 7 scored categories. GPUsMarket leads on payments \u0026 pricing.", "b": { "slug": "gpusmarket", "name": "GPUsMarket", "vendor": "Tyga.Cloud Ltd", "vendorUrl": "https://gpusmarket.com", "kind": "http-api", "category": "gpu-compute", "summary": "GPUsMarket is a peer-to-peer GPU marketplace from Tyga.Cloud Ltd. Agents rent hosts' NVIDIA GPUs and Macs, or on-demand cloud GPUs, as Ollama and OpenAI-compatible endpoints billed per second, through a REST API, CLI and MCP server.", "url": "https://www.anchorterminal.com/tools/gpusmarket", "markdownUrl": "https://www.anchorterminal.com/tools/gpusmarket.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gpusmarket.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gpusmarket.json", "dns": "gpusmarket.grade.anchorterminal.com", "repo": "https://github.com/jyswee/gpusmarket", "license": "Proprietary. The gpusmarket CLI and gpusmarket-host packages ship under Tyga.Cloud Ltd licences that allow use only with the platform, as obfuscated JavaScript", "transports": [ "stdio", "sse" ], "remoteUrl": "https://gpusmarket.com/api/v1", "packages": [ { "registry": "npm", "name": "gpusmarket" }, { "registry": "npm", "name": "gpusmarket-host" } ], "auth": "api-key", "authNotes": "An account key (`gpu_` prefix) from `POST /api/signup` with an email, or from Settings in the web app, covers searching, renting and stopping. Each rental returns its own token for the Ollama or OpenAI-compatible proxy on that rental, and GPU pools take `pool_` keys. No scopes, expiry or rotation documented. Renting places a hold on a saved card.", "pricing": "usage", "pricingNotes": "Per second at each listing's hourly price, from $0.08 an hour (RTX 3060) on the home page, with a $0.50 minimum per rental. Hosts can also bill per request and per token; image, audio and video listings bill per unit. A $10 to $100 card hold is placed per rental. No subscription or prepaid credit; fees are non-refundable.", "priceSummary": "$0.50 / tx", "where": "both", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in llms.txt, the docs or the terms (checked 2026-11-06). Payment is a Stripe card hold settled when a rental stops.", "endpoints": [] }, "toolCount": 32, "popularity": { "githubStars": 1, "npmWeekly": 79, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://gpusmarket.com/docs", "llmsTxt": "https://gpusmarket.com/llms.txt", "registryName": "io.github.jyswee/gpusmarket", "capabilities": [ "compute.gpu", "compute.endpoints", "compute.containers" ], "tags": [ "hosted", "usage", "per-second", "mcp", "mcp-registry", "llms-txt", "cli", "ollama", "openai-compatible", "peer-to-peer", "card-hold", "uk" ], "lastRelease": "2026-10-16", "graded": true, "anchor": { "graded": true, "score": 39.6, "grade": "E", "agentReady": false, "rank": 1318, "ranked": true, "rankOf": 1486, "categoryRank": 21, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 50, "maintenance": 69, "payments": 30, "reliability": 33, "schema": 52, "security": 30, "transparency": 50 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-11-06" }, "negative": -3, "negativeNotes": [ "2026-11-06. The docs' Open Source section lists gpusmarket-host, the package hosts install with `npx gpusmarket-host`, under the MIT licence, while version 1.6.0 on npm (8 October 2026) declares `SEE LICENSE IN LICENSE`, ships a proprietary Tyga.Cloud Ltd licence and is built with javascript-obfuscator. A misleading licence claim on the vendor's own page, 3 points. https://gpusmarket.com/docs, https://registry.npmjs.org/gpusmarket-host" ], "verdict": "An agent can sign up with one API call, search priced GPUs without a key, rent a peer or cloud GPU as an Ollama or OpenAI-compatible endpoint and stop it, billed per second. Prompts on peer rentals pass through individuals' machines, the CLI is obfuscated, and there is no status page, security policy or free tier.", "bestFor": "Cheap, short GPU rentals for open models behind an Ollama or OpenAI endpoint, where data sensitivity is low.", "strengths": [ "Sign-up and key issue in one API call, and search and GPU prices need no key", "Per-second billing from $0.08 an hour, with a $0.50 minimum per rental", "Every rental speaks both the Ollama and OpenAI formats, and pools spread load across rentals", "llms.txt is a complete API reference with rate limits and error codes", "Listed in the official MCP registry under a verified GitHub namespace" ], "weaknesses": [ "Peer rentals send prompts and outputs through individuals' hardware, with only the terms as protection", "The CLI and host packages are obfuscated, and the docs call the host package MIT while it is proprietary", "No status page, SLA, security.txt or disclosure policy", "Account keys have no scopes or expiry, and renting needs a saved card", "No OpenAPI document or public changelog" ], "agentNotes": [ "Don't send confidential data to peer rentals, since requests pass through the host's machine", "Stop every rental with `POST /api/v1/marketplace/rentals/{id}/stop`, because billing runs per second until it stops", "Use the per-rental token for inference and keep the `gpu_` account key out of inference clients", "Treat 502 as host offline and rent another listing rather than retrying the same one", "Ask the person to add a card before renting, since each rental places a hold on it" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "E", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 39.6 } ], "editorialScores": { "ergonomics": 50, "maintenance": 69, "payments": 30, "reliability": 33, "schema": 52, "security": 30, "transparency": 36 }, "provenanceScore": 63, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm install -g gpusmarket", "http": "curl \"https://gpusmarket.com/api/v1/marketplace/search?gpu=RTX%204090\u0026maxPrice=1.00\"", "claudeCode": "claude mcp add gpusmarket -- gpusmarket mcp-serve" }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/gpusmarket" }, "area": "models", "unitPrices": [ { "item": "RTX 3060, lowest listed", "unit": "gpu-hour", "usd": 0.08, "note": "home page, billed per second" }, { "item": "RTX 4090", "unit": "gpu-hour", "usd": 0.35, "note": "home page example; the docs' cloud deploy example shows $0.51" }, { "item": "Minimum per rental", "unit": "tx", "usd": 0.5, "note": "charged when metered usage is lower" } ], "provenance": { "legalEntity": "Tyga.Cloud Ltd", "domain": "gpusmarket.com", "domainRegistered": "2025-03-24", "endpointOnVendorDomain": true, "terms": "https://gpusmarket.com/terms", "privacy": "https://gpusmarket.com/privacy", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "The terms (v2.0, June 2026) and privacy policy (March 2026) name Tyga.Cloud Ltd, company 14643275, registered in England and Wales, as operator and data controller.", "Companies House lists Kay Sujittree Somsuk and Joseph Wee as directors and secretaries of Tyga.Cloud Ltd.", "gpusmarket.com/robots.txt allows public pages and disallows /api/, /host/, /renter/, /settings/ and /webhooks/. The terms contain no clause on automated access.", "RDAP gives gpusmarket.com a registration date of 24 March 2025.", "/.well-known/security.txt returns 404. No status page or changelog page found.", "The terms promise 30 days' notice of material changes and give no availability guarantee." ], "score": 63 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/gpusmarket.json", "live": { "slug": "gpusmarket", "probe": { "target": "https://gpusmarket.com/api/v1", "method": "get", "lastAt": "2026-11-07T18:20:28.490737341Z", "lastOk": true, "lastStatus": 404, "lastMs": 192, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 157, "p95ms24h": 245, "samples24h": 200, "samples30d": 200, "days": [ { "date": "2026-11-06", "probes": 13, "ok": 13 }, { "date": "2026-11-07", "probes": 187, "ok": 187 } ] }, "versions": [ { "registry": "mcp-registry", "name": "io.github.jyswee/gpusmarket", "version": "2.4.16", "seenAt": "2026-11-07T18:16:28.95801333Z" }, { "registry": "npm", "name": "gpusmarket", "version": "2.5.1", "seenAt": "2026-11-06T23:30:34.572543077Z" }, { "registry": "npm", "name": "gpusmarket-host", "version": "1.6.0", "seenAt": "2026-11-06T23:30:35.110678472Z" } ], "githubStars": 1, "npmWeekly": 79, "securityTxt": { "url": "https://gpusmarket.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:37.738841214Z" }, "llmsTxt": { "url": "https://gpusmarket.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:37.836383448Z" }, "pages": [ { "url": "https://gpusmarket.com/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:10:35.479026672Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "dcad60427e70" }, { "url": "https://gpusmarket.com/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:10:37.570489363Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "7d54e59bcd38" } ], "updatedAt": "2026-11-07T18:20:28.490737341Z" } }, "edges": [ { "by": 48, "category": "security", "leads": "cloud-run-gpus", "name": "Security \u0026 auth", "reasons": { "a": "OAuth 2.0 tokens from service accounts under IAM. Google's APIs accept `access_token` as a query parameter, the 10-point deduction other Google API listings take (20). IAM roles separate viewing, deploying and invoking, and services can require IAM authentication for every call (16). The platform runs your own container and returns its output (10). Cloud Audit Logs record Admin API calls, and request logs go to Cloud Logging (15). Google's vulnerability reward programme, security.txt and certifications (17). 20+16+10+15+17 = 78.", "b": "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." }, "scores": { "a": 78, "b": 30 } }, { "by": 37, "category": "reliability", "leads": "cloud-run-gpus", "name": "Reliability", "reasons": { "a": "Hosted reading. Google Cloud's status page with a JSON incident feed (20). In the 90 days from 8 August 2026 the feed names Cloud Run in three multi-product incidents, a service outage on 20 August (15:40 to 19:20 UTC, 27 products, global and us-west1), a network degradation in us-central1-b on 1 September and a europe-west2 disruption on 20 October. One major (10). Resource limits and GPU quota are published with numbers (3 GPUs a region by default), but no request rate for the Admin API was found on the quotas page (10). Google's client libraries retry with backoff and the Admin API takes etags, while no GPU-specific retry guidance was found (10). An SLA for GPU services, 99.95% with zonal redundancy and 99.5% without (10). GPU services generally available since 7 April 2025 (10). 20+10+10+10+10+10 = 70.", "b": "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." }, "scores": { "a": 70, "b": 33 } }, { "by": 34, "category": "transparency", "leads": "cloud-run-gpus", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed service under the Google Cloud terms, with Apache-2.0 client libraries (15). The Cloud Data Processing Addendum and the privacy notice cover customer data, per the Document AI listing's 1 November reading; no Cloud Run statement on GPU instance data after shutdown was found (22). The Cloud terms promise 12 months' notice before a backwards-incompatible API change, and driver versions are announced in the release notes (16). Regions per GPU type listed, with Google's subprocessor list and data-location terms (16). 15+22+16+16 = 69.", "b": "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." }, "scores": { "a": 84, "b": 50 } }, { "by": 29, "category": "schema", "leads": "cloud-run-gpus", "name": "Schema \u0026 documentation", "reasons": { "a": "API reading. A public Discovery document for the Cloud Run Admin API v2 (25). No llms.txt; Google's docs answer Markdown only at an unlinked `.md.txt` address, read as half, as for the Document AI listing (5). The GPU page says when to turn zonal redundancy on or off and the best-practices page when to bake models into images or load them from Cloud Storage (16). The GPU type is a free string in a node selector, with CPU and memory minimums stated in prose (9). gcloud, YAML, Terraform and console steps on each page, and errors follow Google's status model with no Cloud Run GPU error list (11). Versioned API (v1 and v2) and dated release notes (15). 25+5+16+9+11+15 = 81.", "b": "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." }, "scores": { "a": 81, "b": 52 } }, { "by": 16, "category": "ergonomics", "leads": "cloud-run-gpus", "name": "Agent ergonomics", "reasons": { "a": "Platform reading. One `gcloud run deploy` with `--gpu` and `--gpu-type` adds a GPU to a container, and responses carry the service object with `fieldMask` on updates (15). List calls page with `pageSize` and `pageToken` (15). Google's status codes and messages, with quota errors that name the limit (12). Revisions are immutable, traffic can be moved back, and etags guard updates, but no idempotency key on create (12). Client libraries in many languages and gcloud, though a GPU deploy needs instance-based billing, minimum CPU and memory and, past 3 GPUs, a quota request (12). 15+15+12+12+12 = 66.", "b": "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." }, "scores": { "a": 66, "b": 50 } }, { "by": 11, "category": "maintenance", "leads": "cloud-run-gpus", "name": "Maintenance \u0026 community", "reasons": { "a": "Closed service with official SDKs. The newest GPU change is 30 October 2026, jobs with GPUs running up to 12 hours (30). Cloud Run release notes dated 4 November, 2 November, 30 October, 24 October and more in the 90 days (20). Release notes, Google Cloud support and public trackers for the client libraries, which were not read (10). Official client libraries in eight languages and gcloud (15). CI results not checked (5). 30+20+10+15+5 = 80.", "b": "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." }, "scores": { "a": 80, "b": 69 } } ], "facts": [ { "a": "Platform", "b": "HTTP API", "name": "Kind" }, { "a": "Google Cloud", "b": "Tyga.Cloud Ltd", "name": "Vendor" }, { "a": "https://run.googleapis.com", "b": "https://gpusmarket.com/api/v1", "name": "Hosted endpoint" }, { "a": "", "b": "stdio, SSE (legacy)", "name": "Transports" }, { "a": "OAuth", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under the Google Cloud Platform terms. Client libraries are Apache-2.0", "b": "Proprietary. The gpusmarket CLI and gpusmarket-host packages ship under Tyga.Cloud Ltd licences that allow use only with the platform, as obfuscated JavaScript", "name": "Licence" }, { "a": "none", "b": "32", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.github.jyswee/gpusmarket", "name": "MCP registry" }, { "a": "2026-10-30", "b": "2026-10-16", "name": "Last release" }, { "a": "2026-09-02", "b": "2026-06-01", "name": "Terms last updated" }, { "a": "2026-09-28", "b": "2026-03-01", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "1 stars, 79 npm/wk", "name": "Popularity" } ], "faq": [ { "answer": "Cloud Run GPUs scores 68.4 (B) on agent readiness against GPUsMarket's 39.6 (E), and leads in 6 of 7 scored categories. GPUsMarket leads on payments \u0026 pricing.", "question": "Which is better for AI agents, Cloud Run GPUs or GPUsMarket?" }, { "answer": "Yes. Cloud Run GPUs has a hosted endpoint at https://run.googleapis.com and GPUsMarket at https://gpusmarket.com/api/v1.", "question": "Can an agent call Cloud Run GPUs and GPUsMarket without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 70 against 33", "Schema \u0026 documentation, 81 against 52", "Agent ergonomics, 66 against 50", "Security \u0026 auth, 78 against 30", "Maintenance \u0026 community, 80 against 69", "Transparency \u0026 trust, 84 against 50" ], "also": [ "No incidents deducted, where GPUsMarket loses 3 points for them" ], "goodFor": "Serving small and mid-size open models, or batch jobs, from a container that should scale to zero.", "slug": "cloud-run-gpus", "watchFor": "One GPU per instance, L4 (24 GB) or RTX PRO 6000 (96 GB) only, so large models don't fit" }, { "aheadOn": [ "Payments \u0026 pricing, 30 against 20" ], "also": [ "Runs on your own machine" ], "goodFor": "Cheap, short GPU rentals for open models behind an Ollama or OpenAI endpoint, where data sensitivity is low.", "slug": "gpusmarket", "watchFor": "Peer rentals send prompts and outputs through individuals' hardware, with only the terms as protection" } ], "history": null, "job": { "capability": "compute.gpu", "name": "GPU compute" }, "others": [ { "json": "https://www.anchorterminal.com/compare/baseten-vs-cloud-run-gpus.json", "title": "Baseten vs Cloud Run GPUs", "url": "https://www.anchorterminal.com/compare/baseten-vs-cloud-run-gpus" }, { "json": "https://www.anchorterminal.com/compare/baseten-vs-gpusmarket.json", "title": "Baseten vs GPUsMarket", "url": "https://www.anchorterminal.com/compare/baseten-vs-gpusmarket" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-cloud-run-gpus.json", "title": "Beam vs Cloud Run GPUs", "url": "https://www.anchorterminal.com/compare/beam-vs-cloud-run-gpus" }, { "json": "https://www.anchorterminal.com/compare/beam-vs-gpusmarket.json", "title": "Beam vs GPUsMarket", "url": "https://www.anchorterminal.com/compare/beam-vs-gpusmarket" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-cloud-run-gpus.json", "title": "Cerebrium vs Cloud Run GPUs", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-cloud-run-gpus" }, { "json": "https://www.anchorterminal.com/compare/cerebrium-vs-gpusmarket.json", "title": "Cerebrium vs GPUsMarket", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-gpusmarket" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-coreweave.json", "title": "Cloud Run GPUs vs CoreWeave", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-coreweave" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-crusoe-cloud.json", "title": "Cloud Run GPUs vs Crusoe Cloud", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-crusoe-cloud" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-hugging-face-inference-endpoints.json", "title": "Cloud Run GPUs vs Hugging Face Inference Endpoints", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-hugging-face-inference-endpoints" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-hyperbolic.json", "title": "Cloud Run GPUs vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-hyperbolic" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-lambda.json", "title": "Cloud Run GPUs vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-massed-compute.json", "title": "Cloud Run GPUs vs Massed Compute", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-massed-compute" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-nebius-ai-cloud.json", "title": "Cloud Run GPUs vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-northflank.json", "title": "Cloud Run GPUs vs Northflank", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-thunder-compute.json", "title": "Cloud Run GPUs vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-together-gpu-clusters.json", "title": "Cloud Run GPUs vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-gpusmarket.json", "title": "CoreWeave vs GPUsMarket", "url": "https://www.anchorterminal.com/compare/coreweave-vs-gpusmarket" }, { "json": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-gpusmarket.json", "title": "Crusoe Cloud vs GPUsMarket", "url": "https://www.anchorterminal.com/compare/crusoe-cloud-vs-gpusmarket" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-hugging-face-inference-endpoints.json", "title": "GPUsMarket vs Hugging Face Inference Endpoints", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-hugging-face-inference-endpoints" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-hyperbolic.json", "title": "GPUsMarket vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-hyperbolic" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-koyeb.json", "title": "GPUsMarket vs Koyeb", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-lambda.json", "title": "GPUsMarket vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-massed-compute.json", "title": "GPUsMarket vs Massed Compute", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-massed-compute" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-modal.json", "title": "GPUsMarket vs Modal", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-modal" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-nebius-ai-cloud.json", "title": "GPUsMarket vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-northflank.json", "title": "GPUsMarket vs Northflank", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-replicate-deploy.json", "title": "GPUsMarket vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-runpod.json", "title": "GPUsMarket vs Runpod", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-thunder-compute.json", "title": "GPUsMarket vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-together-gpu-clusters.json", "title": "GPUsMarket vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-vast-ai.json", "title": "GPUsMarket vs Vast.ai", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/gpusmarket-vs-verda.json", "title": "GPUsMarket vs Verda", "url": "https://www.anchorterminal.com/compare/gpusmarket-vs-verda" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-koyeb.json", "title": "Cloud Run GPUs vs Koyeb", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-modal.json", "title": "Cloud Run GPUs vs Modal", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-modal" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-replicate-deploy.json", "title": "Cloud Run GPUs vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-runpod.json", "title": "Cloud Run GPUs vs Runpod", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-vast-ai.json", "title": "Cloud Run GPUs vs Vast.ai", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-verda.json", "title": "Cloud Run GPUs vs Verda", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-verda" } ], "panel": null, "scores": [ { "by": 37, "cloud-run-gpus": 70, "edge": "cloud-run-gpus", "gpusmarket": 33, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 29, "cloud-run-gpus": 81, "edge": "cloud-run-gpus", "gpusmarket": 52, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 16, "cloud-run-gpus": 66, "edge": "cloud-run-gpus", "gpusmarket": 50, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 48, "cloud-run-gpus": 78, "edge": "cloud-run-gpus", "gpusmarket": 30, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 10, "cloud-run-gpus": 20, "edge": "gpusmarket", "gpusmarket": 30, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 11, "cloud-run-gpus": 80, "edge": "cloud-run-gpus", "gpusmarket": 69, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 34, "cloud-run-gpus": 84, "edge": "cloud-run-gpus", "gpusmarket": 50, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Cloud Run GPUs scores 68.4 (B) on agent readiness against GPUsMarket's 39.6 (E), and leads in 6 of 7 scored categories. GPUsMarket leads on payments \u0026 pricing. Both do gpu compute.", "tasks": null, "tutorials": [], "verdicts": { "cloud-run-gpus": "Serverless GPUs on Cloud Run, an L4 or RTX PRO 6000 per instance, billed per second, scaling to zero and starting in about 5 seconds before the model loads, with a published SLA and IAM. One GPU per instance, 3 GPUs of default quota a region and instance-based billing limit it to small and mid-size models.", "gpusmarket": "An agent can sign up with one API call, search priced GPUs without a key, rent a peer or cloud GPU as an Ollama or OpenAI-compatible endpoint and stop it, billed per second. Prompts on peer rentals pass through individuals' machines, the CLI is obfuscated, and there is no status page, security policy or free tier." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-gpusmarket", "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-gpusmarket.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-gpusmarket.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-gpusmarket.min.md" }, "markdown": "Cloud Run GPUs scores 68.4 (B) on agent readiness against GPUsMarket's 39.6 (E), and leads in 6 of 7 scored categories. GPUsMarket leads on payments \u0026 pricing. Both do gpu compute.\n\n- Cloud Run GPUs: grade B, 68.4/100, rank #288 of 1486. Markdown https://www.anchorterminal.com/tools/cloud-run-gpus.md · JSON https://www.anchorterminal.com/api/v1/tools/cloud-run-gpus.json\n- GPUsMarket: grade E, 39.6/100, rank #1318 of 1486. Markdown https://www.anchorterminal.com/tools/gpusmarket.md · JSON https://www.anchorterminal.com/api/v1/tools/gpusmarket.json\n- Best GPU and serverless compute for AI workloads: https://www.anchorterminal.com/best/gpu-compute/index.md\n- All 231 gpu compute comparisons: https://www.anchorterminal.com/compare/gpu-compute/index.md\n\n## Which one, for what\n\n### Cloud Run GPUs (B)\n\nGood for: Serving small and mid-size open models, or batch jobs, from a container that should scale to zero.\n\nAhead on:\n- Reliability, 70 against 33\n- Schema \u0026 documentation, 81 against 52\n- Agent ergonomics, 66 against 50\n- Security \u0026 auth, 78 against 30\n- Maintenance \u0026 community, 80 against 69\n- Transparency \u0026 trust, 84 against 50\n\nAlso in its favour:\n- No incidents deducted, where GPUsMarket loses 3 points for them\n\nWatch for: One GPU per instance, L4 (24 GB) or RTX PRO 6000 (96 GB) only, so large models don't fit\n\n### GPUsMarket (E)\n\nGood for: Cheap, short GPU rentals for open models behind an Ollama or OpenAI endpoint, where data sensitivity is low.\n\nAhead on:\n- Payments \u0026 pricing, 30 against 20\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: Peer rentals send prompts and outputs through individuals' hardware, with only the terms as protection\n\n\n## Why the edge\n\n### Security \u0026 auth: Cloud Run GPUs +48\n\n- Cloud Run GPUs (78): OAuth 2.0 tokens from service accounts under IAM. Google's APIs accept `access_token` as a query parameter, the 10-point deduction other Google API listings take (20). IAM roles separate viewing, deploying and invoking, and services can require IAM authentication for every call (16). The platform runs your own container and returns its output (10). Cloud Audit Logs record Admin API calls, and request logs go to Cloud Logging (15). Google's vulnerability reward programme, security.txt and certifications (17). 20+16+10+15+17 = 78.\n- 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.\n\n### Reliability: Cloud Run GPUs +37\n\n- Cloud Run GPUs (70): Hosted reading. Google Cloud's status page with a JSON incident feed (20). In the 90 days from 8 August 2026 the feed names Cloud Run in three multi-product incidents, a service outage on 20 August (15:40 to 19:20 UTC, 27 products, global and us-west1), a network degradation in us-central1-b on 1 September and a europe-west2 disruption on 20 October. One major (10). Resource limits and GPU quota are published with numbers (3 GPUs a region by default), but no request rate for the Admin API was found on the quotas page (10). Google's client libraries retry with backoff and the Admin API takes etags, while no GPU-specific retry guidance was found (10). An SLA for GPU services, 99.95% with zonal redundancy and 99.5% without (10). GPU services generally available since 7 April 2025 (10). 20+10+10+10+10+10 = 70.\n- 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.\n\n### Transparency \u0026 trust: Cloud Run GPUs +34\n\n- Cloud Run GPUs (84): Closed service under the Google Cloud terms, with Apache-2.0 client libraries (15). The Cloud Data Processing Addendum and the privacy notice cover customer data, per the Document AI listing's 1 November reading; no Cloud Run statement on GPU instance data after shutdown was found (22). The Cloud terms promise 12 months' notice before a backwards-incompatible API change, and driver versions are announced in the release notes (16). Regions per GPU type listed, with Google's subprocessor list and data-location terms (16). 15+22+16+16 = 69.\n- 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.\n\n### Schema \u0026 documentation: Cloud Run GPUs +29\n\n- Cloud Run GPUs (81): API reading. A public Discovery document for the Cloud Run Admin API v2 (25). No llms.txt; Google's docs answer Markdown only at an unlinked `.md.txt` address, read as half, as for the Document AI listing (5). The GPU page says when to turn zonal redundancy on or off and the best-practices page when to bake models into images or load them from Cloud Storage (16). The GPU type is a free string in a node selector, with CPU and memory minimums stated in prose (9). gcloud, YAML, Terraform and console steps on each page, and errors follow Google's status model with no Cloud Run GPU error list (11). Versioned API (v1 and v2) and dated release notes (15). 25+5+16+9+11+15 = 81.\n- 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.\n\n### Agent ergonomics: Cloud Run GPUs +16\n\n- Cloud Run GPUs (66): Platform reading. One `gcloud run deploy` with `--gpu` and `--gpu-type` adds a GPU to a container, and responses carry the service object with `fieldMask` on updates (15). List calls page with `pageSize` and `pageToken` (15). Google's status codes and messages, with quota errors that name the limit (12). Revisions are immutable, traffic can be moved back, and etags guard updates, but no idempotency key on create (12). Client libraries in many languages and gcloud, though a GPU deploy needs instance-based billing, minimum CPU and memory and, past 3 GPUs, a quota request (12). 15+15+12+12+12 = 66.\n- 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.\n\n### Maintenance \u0026 community: Cloud Run GPUs +11\n\n- Cloud Run GPUs (80): Closed service with official SDKs. The newest GPU change is 30 October 2026, jobs with GPUs running up to 12 hours (30). Cloud Run release notes dated 4 November, 2 November, 30 October, 24 October and more in the 90 days (20). Release notes, Google Cloud support and public trackers for the client libraries, which were not read (10). Official client libraries in eight languages and gcloud (15). CI results not checked (5). 30+20+10+15+5 = 80.\n- 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.\n\n## Score by category\n\n| Category | Weight | Cloud Run GPUs | GPUsMarket | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 33 | Cloud Run GPUs +37 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 52 | Cloud Run GPUs +29 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 50 | Cloud Run GPUs +16 |\n| Security \u0026 auth | 14% (17.5 this run) | 78 | 30 | Cloud Run GPUs +48 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 30 | GPUsMarket +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 69 | Cloud Run GPUs +11 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 84 | 50 | Cloud Run GPUs +34 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **68.4 · B** | **39.6 · E** | |\n\n## Facts side by side\n\n| Fact | Cloud Run GPUs | GPUsMarket |\n| --- | --- | --- |\n| Kind | Platform | HTTP API |\n| Vendor | Google Cloud | Tyga.Cloud Ltd |\n| Hosted endpoint | `https://run.googleapis.com` | `https://gpusmarket.com/api/v1` |\n| Transports | | stdio, SSE (legacy) |\n| Auth | OAuth | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under the Google Cloud Platform terms. Client libraries are Apache-2.0 | Proprietary. The gpusmarket CLI and gpusmarket-host packages ship under Tyga.Cloud Ltd licences that allow use only with the platform, as obfuscated JavaScript |\n| Tools exposed | none | 32 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| MCP registry | not listed | `io.github.jyswee/gpusmarket` |\n| Last release | 2026-10-30 | 2026-10-16 |\n| Terms last updated | 2026-09-02 | 2026-06-01 |\n| Privacy policy last updated | 2026-09-28 | 2026-03-01 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | none | 1 stars, 79 npm/wk |\n\n## Verdicts\n\n**Cloud Run GPUs.** Serverless GPUs on Cloud Run, an L4 or RTX PRO 6000 per instance, billed per second, scaling to zero and starting in about 5 seconds before the model loads, with a published SLA and IAM. One GPU per instance, 3 GPUs of default quota a region and instance-based billing limit it to small and mid-size models.\n\n**GPUsMarket.** An agent can sign up with one API call, search priced GPUs without a key, rent a peer or cloud GPU as an Ollama or OpenAI-compatible endpoint and stop it, billed per second. Prompts on peer rentals pass through individuals' machines, the CLI is obfuscated, and there is no status page, security policy or free tier.\n\n## Before you call either\n\n### Cloud Run GPUs\n\n1. Pass `--gpu 1 --gpu-type nvidia-l4` (or nvidia-rtx-pro-6000) with at least 4 vCPU and 16 GiB, and `--no-cpu-throttling` for instance-based billing\n2. Load model weights from Cloud Storage at startup in parallel; bake them into the image only below about 10 GB\n3. Turn zonal redundancy off for cheaper, more readily granted quota when failover isn't required\n4. Set minimum instances to 0 unless cold starts matter, since minimum instances bill at the full rate\n5. Send OAuth tokens in the `Authorization` header, never as `access_token` in the URL\n\n### GPUsMarket\n\n1. Don't send confidential data to peer rentals, since requests pass through the host's machine\n2. Stop every rental with `POST /api/v1/marketplace/rentals/{id}/stop`, because billing runs per second until it stops\n3. Use the per-rental token for inference and keep the `gpu_` account key out of inference clients\n4. Treat 502 as host offline and rent another listing rather than retrying the same one\n5. Ask the person to add a card before renting, since each rental places a hold on it\n\n## Questions\n\n### Which is better for AI agents, Cloud Run GPUs or GPUsMarket?\n\nCloud Run GPUs scores 68.4 (B) on agent readiness against GPUsMarket's 39.6 (E), and leads in 6 of 7 scored categories. GPUsMarket leads on payments \u0026 pricing.\n\n### Can an agent call Cloud Run GPUs and GPUsMarket without installing anything?\n\nYes. Cloud Run GPUs has a hosted endpoint at https://run.googleapis.com and GPUsMarket at https://gpusmarket.com/api/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cloud-run-gpus-vs-gpusmarket.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cloud-run-gpus-vs-gpusmarket.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cloud-run-gpus\", \"b\": \"gpusmarket\"}`. From a terminal: `anchor compare cloud-run-gpus gpusmarket`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cloud-run-gpus.json and https://www.anchorterminal.com/api/v1/tools/gpusmarket.json\n\n## Other comparisons with Cloud Run GPUs or GPUsMarket\n\n- [Baseten vs Cloud Run GPUs](https://www.anchorterminal.com/compare/baseten-vs-cloud-run-gpus.md)\n- [Baseten vs GPUsMarket](https://www.anchorterminal.com/compare/baseten-vs-gpusmarket.md)\n- [Beam vs Cloud Run GPUs](https://www.anchorterminal.com/compare/beam-vs-cloud-run-gpus.md)\n- [Beam vs GPUsMarket](https://www.anchorterminal.com/compare/beam-vs-gpusmarket.md)\n- [Cerebrium vs Cloud Run GPUs](https://www.anchorterminal.com/compare/cerebrium-vs-cloud-run-gpus.md)\n- [Cerebrium vs GPUsMarket](https://www.anchorterminal.com/compare/cerebrium-vs-gpusmarket.md)\n- [Cloud Run GPUs vs CoreWeave](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-coreweave.md)\n- [Cloud Run GPUs vs Crusoe Cloud](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-crusoe-cloud.md)\n- [Cloud Run GPUs vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-hugging-face-inference-endpoints.md)\n- [Cloud Run GPUs vs Hyperbolic](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-hyperbolic.md)\n- [Cloud Run GPUs vs Lambda Cloud](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-lambda.md)\n- [Cloud Run GPUs vs Massed Compute](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-massed-compute.md)\n- [Cloud Run GPUs vs Nebius AI Cloud](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-nebius-ai-cloud.md)\n- [Cloud Run GPUs vs Northflank](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-northflank.md)\n- [Cloud Run GPUs vs Thunder Compute](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-thunder-compute.md)\n- [Cloud Run GPUs vs Together GPU Clusters](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-together-gpu-clusters.md)\n- [CoreWeave vs GPUsMarket](https://www.anchorterminal.com/compare/coreweave-vs-gpusmarket.md)\n- [Crusoe Cloud vs GPUsMarket](https://www.anchorterminal.com/compare/crusoe-cloud-vs-gpusmarket.md)\n- [GPUsMarket vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/gpusmarket-vs-hugging-face-inference-endpoints.md)\n- [GPUsMarket vs Hyperbolic](https://www.anchorterminal.com/compare/gpusmarket-vs-hyperbolic.md)\n- [GPUsMarket vs Koyeb](https://www.anchorterminal.com/compare/gpusmarket-vs-koyeb.md)\n- [GPUsMarket vs Lambda Cloud](https://www.anchorterminal.com/compare/gpusmarket-vs-lambda.md)\n- [GPUsMarket vs Massed Compute](https://www.anchorterminal.com/compare/gpusmarket-vs-massed-compute.md)\n- [GPUsMarket vs Modal](https://www.anchorterminal.com/compare/gpusmarket-vs-modal.md)\n- [GPUsMarket vs Nebius AI Cloud](https://www.anchorterminal.com/compare/gpusmarket-vs-nebius-ai-cloud.md)\n- [GPUsMarket vs Northflank](https://www.anchorterminal.com/compare/gpusmarket-vs-northflank.md)\n- [GPUsMarket vs Replicate Deployments](https://www.anchorterminal.com/compare/gpusmarket-vs-replicate-deploy.md)\n- [GPUsMarket vs Runpod](https://www.anchorterminal.com/compare/gpusmarket-vs-runpod.md)\n- [GPUsMarket vs Thunder Compute](https://www.anchorterminal.com/compare/gpusmarket-vs-thunder-compute.md)\n- [GPUsMarket vs Together GPU Clusters](https://www.anchorterminal.com/compare/gpusmarket-vs-together-gpu-clusters.md)\n- [GPUsMarket vs Vast.ai](https://www.anchorterminal.com/compare/gpusmarket-vs-vast-ai.md)\n- [GPUsMarket vs Verda](https://www.anchorterminal.com/compare/gpusmarket-vs-verda.md)\n- [Cloud Run GPUs vs Koyeb](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-koyeb.md)\n- [Cloud Run GPUs vs Modal](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-modal.md)\n- [Cloud Run GPUs vs Replicate Deployments](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-replicate-deploy.md)\n- [Cloud Run GPUs vs Runpod](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-runpod.md)\n- [Cloud Run GPUs vs Vast.ai](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-vast-ai.md)\n- [Cloud Run GPUs vs Verda](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-verda.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": 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Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Cloud Run GPUs B 68.4", "GPUsMarket E 39.6", "scores" ], "h1": "Cloud Run GPUs vs GPUsMarket", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/cloud-run-gpus-vs-gpusmarket", "published": "2026-10-01", "section": "tools", "title": "Cloud Run GPUs vs GPUsMarket for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-gpusmarket" }, "tokens": { "markdown": 4750, "slim": 2580 }, "version": 1 }