{ "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": 289, "ranked": true, "rankOf": 1510, "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": "2026-11-07T22:55:51.650380142Z", "lastOk": true, "lastStatus": 404, "lastMs": 68, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 37, "p95ms24h": 158, "samples24h": 244, "samples30d": 246, "days": [ { "date": "2026-11-06", "probes": 13, "ok": 13 }, { "date": "2026-11-07", "probes": 233, "ok": 233 } ] }, "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": "2026-11-07T22:55:51.650380142Z" } }, "answer": "Cloud Run GPUs scores 68.4 (B) on agent readiness against CoreWeave's 60.5 (C), and leads in 5 of 7 scored categories.", "b": { "slug": "coreweave", "name": "CoreWeave", "vendor": "CoreWeave, Inc.", "vendorUrl": "https://www.coreweave.com", "kind": "http-api", "category": "gpu-compute", "summary": "CoreWeave is a GPU cloud that rents NVIDIA GPU nodes through a managed Kubernetes service (CKS), with REST and gRPC platform APIs, a Terraform provider and a hosted MCP server for observability.", "url": "https://www.anchorterminal.com/tools/coreweave", "markdownUrl": "https://www.anchorterminal.com/tools/coreweave.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/coreweave.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/coreweave.json", "dns": "coreweave.grade.anchorterminal.com", "repo": "https://github.com/coreweave/terraform-provider-coreweave", "license": "Proprietary service under CoreWeave's Terms of Service. The Terraform provider on GitHub is MIT", "transports": [ "http" ], "remoteUrl": "https://api.coreweave.com", "packages": [], "auth": "pat", "authNotes": "Access starts with sales approval. CoreWeave's sales team approves an organisation and emails an activation link, then a user with the Access Token User role creates an API access token at console.coreweave.com/tokens with a name and an expiry. The token is user-scoped, shown once, revocable in the console and sent as `Authorization: Bearer` to api.coreweave.com, to a CKS cluster's Kubernetes API (through a kubeconfig) and to the Mission Control MCP server. What it can do follows the user's IAM roles, which include a Viewer and an Admin role per service. CKS workloads can also use OIDC workload identity federation. Serverless Inference takes a separate Forge API key.", "pricing": "usage", "pricingNotes": "Per instance-hour, published without a login. On demand in North America, HGX H100 (8 GPUs) $49.24, HGX H200 $50.44, HGX B200 $68.80, A100 $21.60, L40S $18.00, L40 $10.00, GB200 NVL72 (4 GPUs) $42.00 and GH200 (1 GPU) $6.50, with spot rates on most. GB300 NVL72 and HGX B300 on demand are quoted by sales. Reserved capacity is discounted by up to 60 per cent through sales. AI Object Storage is $0.06 a GB-month hot, $0.03 warm and $0.015 cold, distributed file storage $0.07, and egress, VPC and the CKS control plane are free. No free tier or self-serve trial was found, and the terms treat any trial as part of the sales-run ARENA programme (https://www.coreweave.com/pricing, https://docs.coreweave.com/policies/terms-of-service).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the API references or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": 38, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.coreweave.com/", "llmsTxt": "https://docs.coreweave.com/llms.txt", "openapi": "https://docs.coreweave.com/products/cks/reference/cks-api", "capabilities": [ "compute.gpu", "compute.containers", "compute.endpoints", "compute.batch" ], "tags": [ "hosted", "usage-priced", "enterprise", "sales-led", "mcp", "openapi", "llms-txt", "terraform", "status-page", "soc2" ], "lastRelease": "2026-10-29", "graded": true, "anchor": { "graded": true, "score": 60.5, "grade": "C", "agentReady": false, "rank": 648, "ranked": true, "rankOf": 1510, "categoryRank": 9, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 58, "maintenance": 80, "payments": 20, "reliability": 45, "schema": 79, "security": 74, "transparency": 78 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-02" }, "negative": 0, "verdict": "Per-hour prices for 8-GPU H100, H200 and B200 nodes are public, the docs ship as Markdown with llms.txt and embedded OpenAPI specs, and IAM has read-only roles per service. An organisation must be approved by CoreWeave's sales team before any token exists, and no request rate limits were found in the reviewed documentation.", "bestFor": "Teams that already run Kubernetes and need whole multi-GPU nodes or clusters for training and dedicated inference, with a contract and IAM.", "strengths": [ "On-demand and spot prices per instance-hour are public, for example HGX H100 at $49.24 on demand and $19.71 spot for 8 GPUs", "Docs are served as Markdown with an llms.txt index, and OpenAPI 3.0 specs for CKS, VPC, storage and inference are embedded in the reference pages", "IAM has Viewer and Admin roles per service, API tokens carry an expiry, and Kubernetes audit logs can be forwarded with Telemetry Relay", "Terms carry a service level objective of 99.9 per cent across multiple regions and 99 per cent in one, with financial credits", "Dated changelog with 20 entries between 5 August and 29 October 2026, including Kubernetes v1.37 support and Mission Control MCP made generally available" ], "weaknesses": [ "No self-serve route. CoreWeave's sales team approves an organisation and emails the activation link before a token can be created", "No request rate limits, 429 guidance or idempotency keys found for api.coreweave.com in the reviewed documentation", "The CKS API is versioned v1beta1 and the Node Pool resource and Dedicated Inference API v1alpha1", "A facility power loss in US-EAST-15A from 22 October 2026 was still in monitoring on 26 October, and the status history is closed to crawlers", "The MCP tool `coreweave_kubectl_apply` ignores its `dry_run` parameter and applies the manifest, per the tool reference" ], "agentNotes": [ "Create an API access token at console.coreweave.com/tokens with an expiry and send it as `Authorization: Bearer` to https://api.coreweave.com", "Add GPUs by applying a NodePool resource (`compute.coreweave.com/v1alpha1`) to a CKS cluster with `instanceType` and `targetNodes`. `instanceType` can't be changed afterwards", "Set `targetNodes` to 0 or delete the Node Pool when a job ends. Nodes are whole 8-GPU machines billed by the hour", "Never pass `dry_run` to the MCP tool `coreweave_kubectl_apply` expecting a preview. The reference says the parameter is ignored and the manifest is applied", "Use a separate Forge API key and https://api.inference.wandb.ai/v1 for Serverless Inference. A CoreWeave API access token doesn't work there" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 60.5 } ], "editorialScores": { "ergonomics": 58, "maintenance": 80, "payments": 20, "reliability": 45, "schema": 79, "security": 74, "transparency": 71 }, "provenanceScore": 84, "checked": { "categories": { "ergonomics": "2026-11-02", "maintenance": "2026-11-02", "payments": "2026-11-02", "reliability": "2026-11-02", "schema": "2026-11-02", "security": "2026-11-02", "transparency": "2026-11-02" }, "last": "2026-11-02", "lastMoved": "2026-11-02", "oldest": "2026-11-02", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl \"https://api.coreweave.com/v1beta1/cks/clusters\" -H \"Authorization: Bearer $COREWEAVE_API_TOKEN\"", "claudeCode": "claude mcp add --transport http mission-control https://mc.coreweave.com/mcp --header \"Authorization: Bearer [YOUR-COREWEAVE-API-TOKEN]\"", "config": { "mcpServers": { "mission-control": { "headers": { "Authorization": "Bearer [YOUR-COREWEAVE-API-TOKEN]" }, "url": "https://mc.coreweave.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/coreweave" }, "area": "models", "unitPrices": [ { "item": "HGX H100 80 GB", "unit": "gpu-hour", "usd": 6.16, "note": "Published single-GPU rate. Sold as an 8-GPU node at $49.24 an hour on demand, $19.71 spot" }, { "item": "HGX H200 141 GB", "unit": "gpu-hour", "usd": 6.31, "note": "8-GPU node at $50.44 an hour on demand, $20.93 spot" }, { "item": "HGX B200 180 GB", "unit": "gpu-hour", "usd": 8.6, "note": "8-GPU node at $68.80 an hour on demand, $34.11 spot" }, { "item": "GB200 NVL72 186 GB", "unit": "gpu-hour", "usd": 10.5, "note": "4-GPU instance at $42.00 an hour on demand" }, { "item": "A100 80 GB", "unit": "gpu-hour", "usd": 2.7, "note": "8-GPU node at $21.60 an hour on demand, $9.65 spot" }, { "item": "L40S 48 GB", "unit": "gpu-hour", "usd": 2.25, "note": "8-GPU node at $18.00 an hour on demand, $7.88 spot" }, { "item": "AI Object Storage, hot tier", "unit": "gb-month", "usd": 0.06, "note": "Warm $0.03, cold $0.015. No egress fee" } ], "provenance": { "legalEntity": "CoreWeave, Inc.", "domain": "coreweave.com", "domainRegistered": "2019-04-01", "endpointOnVendorDomain": true, "terms": "https://docs.coreweave.com/policies/terms-of-service", "privacy": "https://docs.coreweave.com/policies/terms-of-service/privacy-policy", "statusPage": "https://status.coreweave.com", "changelog": "https://docs.coreweave.com/release-notes/changelog", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The Terms of Service on docs.coreweave.com govern the CoreWeave Cloud Platform and were last modified on 30 June 2022. They are under New York law. The separate Terms of Use page covers the websites only.", "The privacy policy names CoreWeave, Inc. and its affiliates and was last updated on 24 February 2026.", "www.coreweave.com/.well-known/security.txt and coreweave.com/.well-known/security.txt return 404. A vulnerability disclosure policy is published in the docs.", "The APIs run on api.coreweave.com and mc.coreweave.com. Serverless Inference runs on api.inference.wandb.ai.", "coreweave.com was registered on 2019-04-01 per Verisign RDAP." ], "score": 84 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/coreweave.json", "live": { "slug": "coreweave", "probe": { "target": "https://api.coreweave.com", "method": "get", "lastAt": "2026-11-07T22:55:52.744708847Z", "lastOk": true, "lastStatus": 404, "lastMs": 148, "authRequired": false, "uptime24h": 100, "uptime30d": 99.99, "p50ms24h": 144, "p95ms24h": 340, "samples24h": 244, "samples30d": 7486, "days": [ { "date": "2026-10-08", "probes": 70, "ok": 70 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 250 }, { "date": "2026-10-29", "probes": 248, "ok": 248 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 233, "ok": 233 } ] }, "vendorStatus": { "page": "https://status.coreweave.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-07T04:47:35.12347428Z" }, "versions": [ { "registry": "github", "name": "coreweave/terraform-provider-coreweave", "version": "v0.28.0", "released": "2026-11-04", "seenAt": "2026-11-06T23:17:46.764304347Z" } ], "githubStars": 16, "securityTxt": { "url": "https://coreweave.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:59.928756282Z" }, "llmsTxt": { "url": "https://docs.coreweave.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:13.769566994Z" }, "domain": { "domain": "coreweave.com", "registered": "2019-04-01", "source": "https://rdap.verisign.com/com/v1/domain/coreweave.com", "checkedAt": "2026-11-01T14:18:18.137252292Z" }, "pages": [ { "url": "https://docs.coreweave.com/release-notes/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:05:55.800288089Z", "changedAt": "2026-11-06T13:28:21.295345746Z", "fingerprint": "335c2dcd8162" }, { "url": "https://www.coreweave.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-07T14:27:26.668623665Z", "changedAt": "2026-11-06T13:48:23.08346619Z", "fingerprint": "4a7a7382d21e" }, { "url": "https://docs.coreweave.com/policies/terms-of-service/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:05:53.672038011Z", "changedAt": "2026-10-13T20:14:34.13856479Z", "fingerprint": "ae1b01ebbe83" }, { "url": "https://docs.coreweave.com/policies/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:05:51.356421511Z", "changedAt": "2026-10-26T03:14:09.031734227Z", "fingerprint": "9e9b9c05a33f" } ], "mcpTools": { "url": "https://mc.coreweave.com/mcp", "checkedAt": "2026-11-07T01:43:27.20761655Z", "status": "auth", "note": "asks for credentials before listing its tools", "changedAt": "2026-11-07T01:43:27.20761655Z" }, "github": { "repo": "coreweave/terraform-provider-coreweave", "checkedAt": "2026-11-02T08:41:38.348462126Z", "stars": 15, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-01T03:10:12Z", "openIssues": 4, "openPRs": 25, "issuesOpened90d": 0, "issuesClosed90d": 0, "prsMerged90d": 96, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-10-29T22:57:52Z" }, "replies": { "sampled": 7, "unanswered": 4, "medianDays": 1.7 } }, "updatedAt": "2026-11-07T22:55:52.744708847Z" } }, "edges": [ { "by": 25, "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": "Graded as a hosted service on the CKS and platform APIs. Status.io page at status.coreweave.com with components per data centre and email, webhook, Teams, Slack and RSS subscriptions (20). The page's robots.txt now disallows /pages/*, where the history, incident pages and the RSS feed sit, so the 8 October reading of the feed (25 September to 8 October) is struck and the 90-day window is unread. The root page, which is allowed, shows one open incident, a facility power loss in US-EAST-15A from 22 October 2026 marked Partial Service Disruption, still in monitoring on 26 October. The same page counts 5 incidents in the last 30 days without listing them. That is one zone of about 40 and reads as partial, but the rest of the window can't be read, so it isn't credited (5). No request rate limits found for api.coreweave.com, only gateway size limits of about 50 KB and 100 MB, and quotas are set per customer through support (0). No 429 or backoff guidance and no idempotency keys found. Kubernetes resources are declarative, so re-applying a manifest is safe (5 of 15). The terms set an objective of 99.9 per cent across multiple regions and 99 per cent in one, with financial credits (10). CKS is sold as a general service but its cluster API is still v1beta1 and the Node Pool resource v1alpha1 (5 of 10). 20 + 5 + 0 + 5 + 10 + 5 = 45." }, "scores": { "a": 70, "b": 45 } }, { "by": 8, "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": "Graded on the platform API, the Kubernetes API and the Mission Control MCP server together. The MCP server documents 38 tools, most of them small read-only queries with limits, and every tool also takes an optional `user_prompt` (12 of 25). The Dedicated Inference API pages with `maxPageSize` and `pageToken`. The cluster list returns everything, with `returnPartialSuccess` for unreachable zones (14). Errors follow the google.rpc shape with a numeric code and a message, and support articles explain common failures (12). No idempotency keys, no MCP read-only or destructive annotations documented, and `coreweave_kubectl_apply` ignores `dry_run` and `plan_token` and applies the manifest (8). Generated clients on Buf for Go, Python, TypeScript, Java and others, plus a Terraform provider. Creating a cluster needs a zone, version and VPC (12)." }, "scores": { "a": 66, "b": 58 } }, { "by": 6, "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 service with published terms. They were last modified on 30 June 2022 and say they may be amended without notice (15). The terms commit to deleting customer data after account closure within a 30-day recovery period and at most 180 days, there is a data processing agreement, and the privacy policy of 24 February 2026 gives no fixed retention period for personal data (22). The changelog gives dated deprecations, for example Kubernetes v1.34 for new clusters from 16 September 2026 and operating system and driver versions from 29 July 2026, and the maintenance policy promises 24 hours' notice for critical work, though it can change without notice (14). Two sub-processors are named for CoreWeave Infrastructure with their country (Backblaze and Microsoft, both United States) and 30 days' notice of additions, and regions and availability zones are documented (20)." }, "scores": { "a": 84, "b": 78 } } ], "facts": [ { "a": "Platform", "b": "HTTP API", "name": "Kind" }, { "a": "Google Cloud", "b": "CoreWeave, Inc.", "name": "Vendor" }, { "a": "https://run.googleapis.com", "b": "https://api.coreweave.com", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP", "name": "Transports" }, { "a": "OAuth", "b": "Token", "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 service under CoreWeave's Terms of Service. The Terraform provider on GitHub is MIT", "name": "Licence" }, { "a": "none", "b": "38", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-30", "b": "2026-10-29", "name": "Last release" }, { "a": "2026-09-02", "b": "2022-06-30", "name": "Terms last updated" }, { "a": "2026-09-28", "b": "2026-02-24", "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": "yes", "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": "2.5/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Cloud Run GPUs scores 68.4 (B) on agent readiness against CoreWeave's 60.5 (C), and leads in 5 of 7 scored categories.", "question": "Which is better for AI agents, Cloud Run GPUs or CoreWeave?" }, { "answer": "Yes. Cloud Run GPUs has a hosted endpoint at https://run.googleapis.com and CoreWeave at https://api.coreweave.com.", "question": "Can an agent call Cloud Run GPUs and CoreWeave without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 70 against 45", "Agent ergonomics, 66 against 58", "Transparency \u0026 trust, 84 against 78" ], "also": null, "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": null, "also": null, "goodFor": "Teams that already run Kubernetes and need whole multi-GPU nodes or clusters for training and dedicated inference, with a contract and IAM.", "slug": "coreweave", "watchFor": "No self-serve route. CoreWeave's sales team approves an organisation and emails the activation link before a token can be created" } ], "history": { "cloud-run-gpus": null, "coreweave": [ { "causes": [ "evidence" ], "date": "2026-11-02", "delta": -1, "from": 61.5, "fromGrade": "C", "to": 60.5, "toGrade": "C" }, { "causes": [ "method" ], "date": "2026-10-28", "delta": 0, "from": 61.5, "fromGrade": "C", "to": 61.5, "toGrade": "C" } ] }, "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-coreweave.json", "title": "Baseten vs CoreWeave", "url": "https://www.anchorterminal.com/compare/baseten-vs-coreweave" }, { "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-coreweave.json", "title": "Beam vs CoreWeave", "url": "https://www.anchorterminal.com/compare/beam-vs-coreweave" }, { "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-coreweave.json", "title": "Cerebrium vs CoreWeave", "url": "https://www.anchorterminal.com/compare/cerebrium-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-gpusmarket.json", "title": "Cloud Run GPUs vs GPUsMarket", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-gpusmarket" }, { "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-crusoe-cloud.json", "title": "CoreWeave vs Crusoe Cloud", "url": "https://www.anchorterminal.com/compare/coreweave-vs-crusoe-cloud" }, { "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/coreweave-vs-hugging-face-inference-endpoints.json", "title": "CoreWeave vs Hugging Face Inference Endpoints", "url": "https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic.json", "title": "CoreWeave vs Hyperbolic", "url": "https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-koyeb.json", "title": "CoreWeave vs Koyeb", "url": "https://www.anchorterminal.com/compare/coreweave-vs-koyeb" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-lambda.json", "title": "CoreWeave vs Lambda Cloud", "url": "https://www.anchorterminal.com/compare/coreweave-vs-lambda" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-massed-compute.json", "title": "CoreWeave vs Massed Compute", "url": "https://www.anchorterminal.com/compare/coreweave-vs-massed-compute" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-modal.json", "title": "CoreWeave vs Modal", "url": "https://www.anchorterminal.com/compare/coreweave-vs-modal" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-nebius-ai-cloud.json", "title": "CoreWeave vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/coreweave-vs-nebius-ai-cloud" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-northflank.json", "title": "CoreWeave vs Northflank", "url": "https://www.anchorterminal.com/compare/coreweave-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy.json", "title": "CoreWeave vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-runpod.json", "title": "CoreWeave vs Runpod", "url": "https://www.anchorterminal.com/compare/coreweave-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.json", "title": "CoreWeave vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-together-gpu-clusters.json", "title": "CoreWeave vs Together GPU Clusters", "url": "https://www.anchorterminal.com/compare/coreweave-vs-together-gpu-clusters" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-vast-ai.json", "title": "CoreWeave vs Vast.ai", "url": "https://www.anchorterminal.com/compare/coreweave-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/coreweave-vs-verda.json", "title": "CoreWeave vs Verda", "url": "https://www.anchorterminal.com/compare/coreweave-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": 25, "cloud-run-gpus": 70, "coreweave": 45, "edge": "cloud-run-gpus", "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 2, "cloud-run-gpus": 81, "coreweave": 79, "edge": "cloud-run-gpus", "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 8, "cloud-run-gpus": 66, "coreweave": 58, "edge": "cloud-run-gpus", "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 4, "cloud-run-gpus": 78, "coreweave": 74, "edge": "cloud-run-gpus", "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "cloud-run-gpus": 20, "coreweave": 20, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 0, "cloud-run-gpus": 80, "coreweave": 80, "edge": "", "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 6, "cloud-run-gpus": 84, "coreweave": 78, "edge": "cloud-run-gpus", "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Cloud Run GPUs scores 68.4 (B) on agent readiness against CoreWeave's 60.5 (C), and leads in 5 of 7 scored categories. 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.", "coreweave": "Per-hour prices for 8-GPU H100, H200 and B200 nodes are public, the docs ship as Markdown with llms.txt and embedded OpenAPI specs, and IAM has read-only roles per service. An organisation must be approved by CoreWeave's sales team before any token exists, and no request rate limits were found in the reviewed documentation." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-coreweave", "json": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-coreweave.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-coreweave.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-coreweave.min.md" }, "markdown": "Cloud Run GPUs scores 68.4 (B) on agent readiness against CoreWeave's 60.5 (C), and leads in 5 of 7 scored categories. Both do gpu compute.\n\n- Cloud Run GPUs: grade B, 68.4/100, rank #289 of 1510. Markdown https://www.anchorterminal.com/tools/cloud-run-gpus.md · JSON https://www.anchorterminal.com/api/v1/tools/cloud-run-gpus.json\n- CoreWeave: grade C, 60.5/100, rank #648 of 1510. Markdown https://www.anchorterminal.com/tools/coreweave.md · JSON https://www.anchorterminal.com/api/v1/tools/coreweave.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 45\n- Agent ergonomics, 66 against 58\n- Transparency \u0026 trust, 84 against 78\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### CoreWeave (C)\n\nGood for: Teams that already run Kubernetes and need whole multi-GPU nodes or clusters for training and dedicated inference, with a contract and IAM.\n\nWatch for: No self-serve route. CoreWeave's sales team approves an organisation and emails the activation link before a token can be created\n\n\n## Why the edge\n\n### Reliability: Cloud Run GPUs +25\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- CoreWeave (45): Graded as a hosted service on the CKS and platform APIs. Status.io page at status.coreweave.com with components per data centre and email, webhook, Teams, Slack and RSS subscriptions (20). The page's robots.txt now disallows /pages/*, where the history, incident pages and the RSS feed sit, so the 8 October reading of the feed (25 September to 8 October) is struck and the 90-day window is unread. The root page, which is allowed, shows one open incident, a facility power loss in US-EAST-15A from 22 October 2026 marked Partial Service Disruption, still in monitoring on 26 October. The same page counts 5 incidents in the last 30 days without listing them. That is one zone of about 40 and reads as partial, but the rest of the window can't be read, so it isn't credited (5). No request rate limits found for api.coreweave.com, only gateway size limits of about 50 KB and 100 MB, and quotas are set per customer through support (0). No 429 or backoff guidance and no idempotency keys found. Kubernetes resources are declarative, so re-applying a manifest is safe (5 of 15). The terms set an objective of 99.9 per cent across multiple regions and 99 per cent in one, with financial credits (10). CKS is sold as a general service but its cluster API is still v1beta1 and the Node Pool resource v1alpha1 (5 of 10). 20 + 5 + 0 + 5 + 10 + 5 = 45.\n\n### Agent ergonomics: Cloud Run GPUs +8\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- CoreWeave (58): Graded on the platform API, the Kubernetes API and the Mission Control MCP server together. The MCP server documents 38 tools, most of them small read-only queries with limits, and every tool also takes an optional `user_prompt` (12 of 25). The Dedicated Inference API pages with `maxPageSize` and `pageToken`. The cluster list returns everything, with `returnPartialSuccess` for unreachable zones (14). Errors follow the google.rpc shape with a numeric code and a message, and support articles explain common failures (12). No idempotency keys, no MCP read-only or destructive annotations documented, and `coreweave_kubectl_apply` ignores `dry_run` and `plan_token` and applies the manifest (8). Generated clients on Buf for Go, Python, TypeScript, Java and others, plus a Terraform provider. Creating a cluster needs a zone, version and VPC (12).\n\n### Transparency \u0026 trust: Cloud Run GPUs +6\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- CoreWeave (78): Closed service with published terms. They were last modified on 30 June 2022 and say they may be amended without notice (15). The terms commit to deleting customer data after account closure within a 30-day recovery period and at most 180 days, there is a data processing agreement, and the privacy policy of 24 February 2026 gives no fixed retention period for personal data (22). The changelog gives dated deprecations, for example Kubernetes v1.34 for new clusters from 16 September 2026 and operating system and driver versions from 29 July 2026, and the maintenance policy promises 24 hours' notice for critical work, though it can change without notice (14). Two sub-processors are named for CoreWeave Infrastructure with their country (Backblaze and Microsoft, both United States) and 30 days' notice of additions, and regions and availability zones are documented (20).\n\n## Score by category\n\n| Category | Weight | Cloud Run GPUs | CoreWeave | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 45 | Cloud Run GPUs +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 79 | Cloud Run GPUs +2 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 58 | Cloud Run GPUs +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 78 | 74 | Cloud Run GPUs +4 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 80 | even |\n| Transparency \u0026 trust | 7% (8.8 this run) | 84 | 78 | Cloud Run GPUs +6 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **68.4 · B** | **60.5 · C** | |\n\n## Facts side by side\n\n| Fact | Cloud Run GPUs | CoreWeave |\n| --- | --- | --- |\n| Kind | Platform | HTTP API |\n| Vendor | Google Cloud | CoreWeave, Inc. |\n| Hosted endpoint | `https://run.googleapis.com` | `https://api.coreweave.com` |\n| Transports | | HTTP |\n| Auth | OAuth | Token |\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 service under CoreWeave's Terms of Service. The Terraform provider on GitHub is MIT |\n| Tools exposed | none | 38 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-30 | 2026-10-29 |\n| Terms last updated | 2026-09-02 | 2022-06-30 |\n| Privacy policy last updated | 2026-09-28 | 2026-02-24 |\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 | yes |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Agent reviews | none | 2.5/5 (4) |\n\n## How the scores have moved\n\n### Cloud Run GPUs\n\nNo score change since it was listed.\n\n### CoreWeave\n\n- -1.0 on 2 November 2026: new evidence\n- no change on 28 October 2026: checklist\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**CoreWeave.** Per-hour prices for 8-GPU H100, H200 and B200 nodes are public, the docs ship as Markdown with llms.txt and embedded OpenAPI specs, and IAM has read-only roles per service. An organisation must be approved by CoreWeave's sales team before any token exists, and no request rate limits were found in the reviewed documentation.\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### CoreWeave\n\n1. Create an API access token at console.coreweave.com/tokens with an expiry and send it as `Authorization: Bearer` to https://api.coreweave.com\n2. Add GPUs by applying a NodePool resource (`compute.coreweave.com/v1alpha1`) to a CKS cluster with `instanceType` and `targetNodes`. `instanceType` can't be changed afterwards\n3. Set `targetNodes` to 0 or delete the Node Pool when a job ends. Nodes are whole 8-GPU machines billed by the hour\n4. Never pass `dry_run` to the MCP tool `coreweave_kubectl_apply` expecting a preview. The reference says the parameter is ignored and the manifest is applied\n5. Use a separate Forge API key and https://api.inference.wandb.ai/v1 for Serverless Inference. A CoreWeave API access token doesn't work there\n\n## Questions\n\n### Which is better for AI agents, Cloud Run GPUs or CoreWeave?\n\nCloud Run GPUs scores 68.4 (B) on agent readiness against CoreWeave's 60.5 (C), and leads in 5 of 7 scored categories.\n\n### Can an agent call Cloud Run GPUs and CoreWeave without installing anything?\n\nYes. Cloud Run GPUs has a hosted endpoint at https://run.googleapis.com and CoreWeave at https://api.coreweave.com.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cloud-run-gpus-vs-coreweave.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cloud-run-gpus-vs-coreweave.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cloud-run-gpus\", \"b\": \"coreweave\"}`. From a terminal: `anchor compare cloud-run-gpus coreweave`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cloud-run-gpus.json and https://www.anchorterminal.com/api/v1/tools/coreweave.json\n\n## Other comparisons with Cloud Run GPUs or CoreWeave\n\n- [Baseten vs Cloud Run GPUs](https://www.anchorterminal.com/compare/baseten-vs-cloud-run-gpus.md)\n- [Baseten vs CoreWeave](https://www.anchorterminal.com/compare/baseten-vs-coreweave.md)\n- [Beam vs Cloud Run GPUs](https://www.anchorterminal.com/compare/beam-vs-cloud-run-gpus.md)\n- [Beam vs CoreWeave](https://www.anchorterminal.com/compare/beam-vs-coreweave.md)\n- [Cerebrium vs Cloud Run GPUs](https://www.anchorterminal.com/compare/cerebrium-vs-cloud-run-gpus.md)\n- [Cerebrium vs CoreWeave](https://www.anchorterminal.com/compare/cerebrium-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 GPUsMarket](https://www.anchorterminal.com/compare/cloud-run-gpus-vs-gpusmarket.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 Crusoe Cloud](https://www.anchorterminal.com/compare/coreweave-vs-crusoe-cloud.md)\n- [CoreWeave vs GPUsMarket](https://www.anchorterminal.com/compare/coreweave-vs-gpusmarket.md)\n- [CoreWeave vs Hugging Face Inference Endpoints](https://www.anchorterminal.com/compare/coreweave-vs-hugging-face-inference-endpoints.md)\n- [CoreWeave vs Hyperbolic](https://www.anchorterminal.com/compare/coreweave-vs-hyperbolic.md)\n- [CoreWeave vs Koyeb](https://www.anchorterminal.com/compare/coreweave-vs-koyeb.md)\n- [CoreWeave vs Lambda Cloud](https://www.anchorterminal.com/compare/coreweave-vs-lambda.md)\n- [CoreWeave vs Massed Compute](https://www.anchorterminal.com/compare/coreweave-vs-massed-compute.md)\n- [CoreWeave vs Modal](https://www.anchorterminal.com/compare/coreweave-vs-modal.md)\n- [CoreWeave vs Nebius AI Cloud](https://www.anchorterminal.com/compare/coreweave-vs-nebius-ai-cloud.md)\n- [CoreWeave vs Northflank](https://www.anchorterminal.com/compare/coreweave-vs-northflank.md)\n- [CoreWeave vs Replicate Deployments](https://www.anchorterminal.com/compare/coreweave-vs-replicate-deploy.md)\n- [CoreWeave vs Runpod](https://www.anchorterminal.com/compare/coreweave-vs-runpod.md)\n- [CoreWeave vs Thunder Compute](https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.md)\n- [CoreWeave vs Together GPU Clusters](https://www.anchorterminal.com/compare/coreweave-vs-together-gpu-clusters.md)\n- [CoreWeave vs Vast.ai](https://www.anchorterminal.com/compare/coreweave-vs-vast-ai.md)\n- [CoreWeave vs Verda](https://www.anchorterminal.com/compare/coreweave-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", "CoreWeave C 60.5", "scores" ], "h1": "Cloud Run GPUs vs CoreWeave", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/cloud-run-gpus-vs-coreweave", "published": "2026-10-01", "section": "tools", "title": "Cloud Run GPUs vs CoreWeave for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/cloud-run-gpus-vs-coreweave" }, "tokens": { "markdown": 4150, "slim": 1930 }, "version": 1 }