Head to head · GPU compute · October 2026 research run
Cloud Run GPUs vs GPUsMarket
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 & pricing. Both do gpu compute.
Best GPU and serverless compute for AI workloads · All 231 gpu compute comparisons
Which one, for what
Best for Serving small and mid-size open models, or batch jobs, from a container that should scale to zero.
Ahead on
- Reliability, 70 against 33
- Schema & documentation, 81 against 52
- Agent ergonomics, 66 against 50
- Security & auth, 78 against 30
- Maintenance & community, 80 against 69
- Transparency & trust, 84 against 50
Also in its favour
- No incidents deducted, where GPUsMarket loses 3 points for them
Watch for
One GPU per instance, L4 (24 GB) or RTX PRO 6000 (96 GB) only, so large models don't fit
Best 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 in its favour
- Runs on your own machine
Watch for
Peer rentals send prompts and outputs through individuals' hardware, with only the terms as protection
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Security & auth Cloud Run GPUs +48
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.
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.
Reliability Cloud Run GPUs +37
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.
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.
Transparency & trust Cloud Run GPUs +34
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.
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.
Schema & documentation Cloud Run GPUs +29
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.
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.
Agent ergonomics Cloud Run GPUs +16
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.
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.
Maintenance & community Cloud Run GPUs +11
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.
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.
Score by category
| Category | Weight this run | Cloud Run GPUs | GPUsMarket | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 70 | 33 | Cloud Run GPUs +37 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 81 | 52 | Cloud Run GPUs +29 |
| Agent ergonomics | 13%16.2 | 66 | 50 | Cloud Run GPUs +16 |
| Security & auth | 14%17.5 | 78 | 30 | Cloud Run GPUs +48 |
| Payments & pricing | 10%12.5 | 20 | 30 | GPUsMarket +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 80 | 69 | Cloud Run GPUs +11 |
| Transparency & trust | 7%8.8 | 84 | 50 | Cloud Run GPUs +34 |
| Negative events | ≤15 | 0 | -3 | |
| Total | B 68.4/100 | E 39.6/100 |
Facts side by side
| Fact | Cloud Run GPUs | GPUsMarket |
|---|---|---|
| Kind | Platform | HTTP API |
| Vendor | Google Cloud | Tyga.Cloud Ltd |
| Hosted endpoint | https://run.googleapis.com | https://gpusmarket.com/api/v1 |
| Transports | stdio, SSE (legacy) | |
| Auth | OAuth | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| 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 |
| Tools exposed | none | 32 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| MCP registry | not listed | io.github.jyswee/gpusmarket |
| Last release | 2026-10-30 | 2026-10-16 |
| Terms last updated | 2026-09-02 | 2026-06-01 |
| Privacy policy last updated | 2026-09-28 | 2026-03-01 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | not found in the text | not found in the text |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | none | 1 stars, 79 npm/wk |
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.
Before you call either
Cloud Run GPUs
- Pass
--gpu 1 --gpu-type nvidia-l4(or nvidia-rtx-pro-6000) with at least 4 vCPU and 16 GiB, and--no-cpu-throttlingfor 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
Authorizationheader, never asaccess_tokenin the URL
GPUsMarket
- 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
Questions
Which is better for AI agents, Cloud Run GPUs or GPUsMarket?
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 & pricing.
Can an agent call Cloud Run GPUs and GPUsMarket without installing anything?
Yes. Cloud Run GPUs has a hosted endpoint at https://run.googleapis.com and GPUsMarket at https://gpusmarket.com/api/v1.
Other comparisons with Cloud Run GPUs or GPUsMarket
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- Cloud Run GPUs vs Northflank
- Cloud Run GPUs vs Thunder Compute
- Cloud Run GPUs vs Together GPU Clusters
- CoreWeave vs GPUsMarket
- Crusoe Cloud vs GPUsMarket
- GPUsMarket vs Hugging Face Inference Endpoints
- GPUsMarket vs Hyperbolic
- GPUsMarket vs Koyeb
- GPUsMarket vs Lambda Cloud
- GPUsMarket vs Massed Compute
- GPUsMarket vs Modal
- GPUsMarket vs Nebius AI Cloud
- GPUsMarket vs Northflank
- GPUsMarket vs Replicate Deployments
- GPUsMarket vs Runpod
- GPUsMarket vs Thunder Compute
- GPUsMarket vs Together GPU Clusters
- GPUsMarket vs Vast.ai
- GPUsMarket vs Verda
- Cloud Run GPUs vs Koyeb
- Cloud Run GPUs vs Modal
- Cloud Run GPUs vs Replicate Deployments
- Cloud Run GPUs vs Runpod
- Cloud Run GPUs vs Vast.ai
- Cloud Run GPUs vs Verda
Machine-readable
- This page as Markdown
/compare/cloud-run-gpus-vs-gpusmarket.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/cloud-run-gpus.json·/api/v1/tools/gpusmarket.json - From a terminal
anchor compare cloud-run-gpus gpusmarket(the CLI) - Over MCP
compare_tools {"a": "cloud-run-gpus", "b": "gpusmarket"}at/mcp, no key