{ "data": { "a": { "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", "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": "2026-10-02", "graded": true, "anchor": { "graded": true, "score": 61.5, "grade": "C", "agentReady": false, "rank": 421, "ranked": true, "rankOf": 842, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 58, "maintenance": 80, "payments": 20, "reliability": 50, "schema": 79, "security": 74, "transparency": 77 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "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 18 entries between 10 July and 2 October 2026, and a Terraform provider tagged v0.24.0 on 11 September 2026" ], "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", "Three incidents between 26 September and 6 October 2026, including a US-CENTRAL-09A network outage of over two hours on 5 October", "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": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.5 } ], "editorialScores": { "ergonomics": 58, "maintenance": 80, "payments": 20, "reliability": 50, "schema": 79, "security": 74, "transparency": 71 }, "provenanceScore": 83 }, "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": 83 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/coreweave.json", "live": { "slug": "coreweave", "probe": { "target": "https://api.coreweave.com", "method": "get", "lastAt": "2026-10-09T09:26:47.203064762Z", "lastOk": true, "lastStatus": 404, "lastMs": 127, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 123, "p95ms24h": 181, "samples24h": 171, "samples30d": 171, "days": [ { "date": "2026-10-08", "probes": 70, "ok": 70 }, { "date": "2026-10-09", "probes": 101, "ok": 101 } ] }, "vendorStatus": { "page": "https://status.coreweave.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:57:46.397856514Z" }, "pages": [ { "url": "https://docs.coreweave.com/release-notes/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:18:37.275927892Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "526831cd5f7a" }, { "url": "https://www.coreweave.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:27:14.115245132Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "b92d2fed4434" }, { "url": "https://docs.coreweave.com/policies/terms-of-service/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:18:35.381020121Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "92c4d55f1382" }, { "url": "https://docs.coreweave.com/policies/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:18:32.98309125Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6f16ddc8984a" } ], "updatedAt": "2026-10-09T09:26:47.203064762Z" } }, "answer": "CoreWeave scores 61.5 (C) on agent readiness against Thunder Compute's 56.1 (C), and leads in 5 of 7 scored categories. Thunder Compute leads on reliability.", "b": { "slug": "thunder-compute", "name": "Thunder Compute", "vendor": "Thunder Compute", "vendorUrl": "https://www.thundercompute.com", "kind": "http-api", "category": "gpu-compute", "summary": "Thunder Compute is a US GPU cloud renting RTX A6000, L40, A100 and H100 instances by the minute and GPU sandboxes by the second. Agents use its REST API, a hosted MCP server with OAuth, or the `tnr` CLI.", "url": "https://www.anchorterminal.com/tools/thunder-compute", "markdownUrl": "https://www.anchorterminal.com/tools/thunder-compute.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/thunder-compute.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/thunder-compute.json", "repo": "https://github.com/Thunder-Compute/thunder-cli", "license": "Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.thundercompute.com:8443/v1", "packages": [ { "registry": "go", "name": "github.com/Thunder-Compute/thunder-cli" }, { "registry": "pypi", "name": "thunder-sandbox" } ], "auth": "mixed", "authNotes": "Self-serve. The hosted MCP server uses OAuth 2.0 with discovery. The first connection opens a browser to sign in and approve, tokens refresh, and the scopes are `instances:read`, `instances:write`, `snapshots:read`, `snapshots:write`, `sandboxes:read`, `sandboxes:write`, `billing:read` and `org:read`. The REST API takes a named API token as a Bearer header. Tokens are created and revoked one at a time in the console, or with the MCP `create_token` tool, and no token scopes were found. The CLI and the sandbox SDK read `TNR_API_TOKEN` for headless use. Price, specification, availability and template endpoints need no token.", "pricing": "usage", "pricingNotes": "No general free tier. Instances are billed by the minute while they run, paid by saved card or preloaded credit that is non-refundable. Per GPU an hour on 9 October 2026, RTX A6000 is $0.35, L40 $0.79, A100 80 GB $1.09 and H100 $3.20. Sandboxes are billed by the second and need access enabled by the vendor. Students with a US university email get $20 of credit for A6000 and L40 GPUs. Reserved capacity is by quote (https://www.thundercompute.com/pricing).", "priceSummary": "$0.04 / vCPU-hr", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs corpus, the OpenAPI document or the pricing page (checked 2026-10-09).", "endpoints": [] }, "toolCount": 28, "popularity": { "githubStars": 34, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://www.thundercompute.com/docs", "llmsTxt": "https://www.thundercompute.com/docs/llms.txt", "openapi": "https://api.thundercompute.com:8443/openapi.json", "registryName": "io.github.Thunder-Compute/thunder-compute", "capabilities": [ "compute.gpu", "compute.containers" ], "tags": [ "hosted", "usage-priced", "openapi", "llms-txt", "mcp", "cli", "oauth", "api-key", "python", "go", "status-page", "card-required", "closed-source" ], "lastRelease": "2026-09-16", "graded": true, "anchor": { "graded": true, "score": 56.1, "grade": "C", "agentReady": false, "rank": 576, "ranked": true, "rankOf": 842, "categoryRank": 10, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 48, "maintenance": 79, "payments": 20, "reliability": 65, "schema": 70, "security": 51, "transparency": 64 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "The hosted MCP server signs in with OAuth and separate read and write scopes, and the REST API has a public OpenAPI 3.1 document with keyless price and availability endpoints. No rate limits, SLA or API changelog were found, instance creation has no idempotency key, and instances cannot be stopped, only deleted.", "bestFor": "Agents in coding tools that rent a single persistent GPU machine for development, fine-tuning or a model server, at low hourly prices and over MCP.", "strengths": [ "Hosted MCP server at `https://www.thundercompute.com/mcp` with OAuth and ten scopes that separate read from write for instances, snapshots and sandboxes", "Public OpenAPI 3.1 document with 41 operations, plus `llms.txt`, `llms-full.txt` and a Markdown copy of every docs page", "`GET /v2/pricing`, `GET /v2/specs` and `GET /v2/status` return prices, configurations and live availability without a token", "Section 28 of the terms, dated 28 September 2026, permits access by AI agents, scripts and SDKs through the account holder's own credentials", "The status page lists no incidents for July to October 2026 on its Website, API and Instances components" ], "weaknesses": [ "No rate limits, 429 guidance or SLA were found in the reviewed documentation, and the terms disclaim availability", "`POST /instances/create` has no idempotency key, so a retried launch can start a second billed instance", "Instances cannot be stopped. Pausing means taking a snapshot, deleting the instance and restoring later", "No general free tier. The $20 credit is limited to students with a US university email", "No security.txt or disclosure policy was found, and the SOC 2 Type II claim in `llms.txt` has no report or trust page linked", "The sub-processor list, last updated 27 August 2025, names Firebase for sign-in while the MCP docs name Stytch" ], "agentNotes": [ "Call `GET /v2/status` or the `get_availability` tool before creating an instance. Availability can change before launch, and creation fails when a type is sold out.", "List instances before retrying a failed create, because the call has no idempotency key.", "Pass `public_key` on create. If omitted, the response carries a generated private key that is returned once.", "To pause work, create a snapshot, delete the instance and later create a new instance from the snapshot. Snapshot storage keeps billing until deleted.", "For headless use set `TNR_API_TOKEN` to a token from the console. The MCP server needs a browser sign-in on first connection." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56.1 } ], "editorialScores": { "ergonomics": 48, "maintenance": 79, "payments": 20, "reliability": 65, "schema": 70, "security": 51, "transparency": 51 }, "provenanceScore": 77 }, "connect": { "install": "curl -fsSL https://raw.githubusercontent.com/Thunder-Compute/thunder-cli/main/scripts/install.sh | bash", "http": "curl https://api.thundercompute.com:8443/v2/pricing", "claudeCode": "claude mcp add --transport http thunder-compute https://www.thundercompute.com/mcp", "config": { "mcpServers": { "thunder-compute": { "url": "https://www.thundercompute.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/thunder-compute" }, "area": "models", "unitPrices": [ { "item": "RTX A6000 48 GB instance", "unit": "gpu-hour", "usd": 0.35, "note": "Billed per minute. One GPU per instance" }, { "item": "L40 48 GB instance", "unit": "gpu-hour", "usd": 0.79, "note": "Billed per minute" }, { "item": "A100 80 GB instance", "unit": "gpu-hour", "usd": 1.09, "note": "Billed per minute. 4 and 8 GPU shapes cost $1.49 a GPU per the price endpoint" }, { "item": "H100 80 GB instance", "unit": "gpu-hour", "usd": 3.2, "note": "Billed per minute" }, { "item": "H100 80 GB sandbox", "unit": "gpu-hour", "usd": 2.95, "note": "Billed per second, plus vCPU and memory. Access on request" }, { "item": "A100 80 GB sandbox", "unit": "gpu-hour", "usd": 1.95, "note": "Billed per second, plus vCPU and memory. Access on request" }, { "item": "Extra instance vCPU", "unit": "vcpu-hour", "usd": 0.04, "note": "Above the vCPUs included with each GPU" }, { "item": "Sandbox vCPU", "unit": "vcpu-hour", "usd": 0.051, "note": "Memory is $0.016 per GiB an hour" }, { "item": "Instance disk above 100 GB per GPU", "unit": "gb-month", "usd": 0.219, "note": "Billed only while the instance runs" }, { "item": "Snapshot storage", "unit": "gb-month", "usd": 0.05, "note": "Kept until deleted" } ], "provenance": { "legalEntity": "Thunder GPU, Inc.", "domain": "thundercompute.com", "domainRegistered": "2024-02-29", "endpointOnVendorDomain": true, "terms": "https://www.thundercompute.com/terms-and-conditions", "privacy": "https://www.thundercompute.com/privacy-policy", "statusPage": "https://status.thundercompute.com", "changelog": "https://github.com/Thunder-Compute/thunder-cli/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-09", "notes": [ "The Terms and Conditions, last updated 28 September 2026, name Thunder GPU, Inc., doing business as Thunder Compute, a Delaware company, and apply Delaware law. They cover the site and the services, with sections on automated access, usage billing and instance data deletion.", "The privacy policy, last updated 28 September 2026, covers the website and the GPU platform, including access by AI agents.", "The API answers at api.thundercompute.com on port 8443, and the MCP server at www.thundercompute.com/mcp, both on the vendor domain.", "/.well-known/security.txt answers 404.", "RDAP for thundercompute.com gives a registration date of 2024-02-29.", "The changelog linked is the CLI's. No API changelog was found.", "A Data Processing Addendum is published in the docs and a sub-processor list on the site, last updated 27 August 2025." ], "score": 77 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/thunder-compute.json", "live": { "slug": "thunder-compute", "probe": { "target": "https://api.thundercompute.com:8443/v1", "method": "get", "lastAt": "2026-10-09T09:27:07.340219077Z", "lastOk": true, "lastStatus": 404, "lastMs": 219, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 619, "p95ms24h": 717, "samples24h": 20, "samples30d": 20, "days": [ { "date": "2026-10-09", "probes": 20, "ok": 20 } ] }, "vendorStatus": { "page": "https://status.thundercompute.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T09:25:35.789610874Z" }, "updatedAt": "2026-10-09T09:27:07.340219077Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "CoreWeave, Inc.", "b": "Thunder Compute", "name": "Vendor" }, { "a": "https://api.coreweave.com", "b": "https://api.thundercompute.com:8443/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "Token", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "not published", "b": "$0.219 per GB per month", "name": "Price for compute gpu" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under CoreWeave's Terms of Service. The Terraform provider on GitHub is MIT", "b": "Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT", "name": "Licence" }, { "a": "38", "b": "28", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "not listed", "b": "io.github.Thunder-Compute/thunder-compute", "name": "MCP registry" }, { "a": "2026-10-02", "b": "2026-09-16", "name": "Last release" }, { "a": "2022-06-30", "b": "2026-09-28", "name": "Terms last updated" }, { "a": "2026-02-24", "b": "2026-09-28", "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": "yes", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "34 stars", "name": "Popularity" } ], "faq": [ { "answer": "CoreWeave scores 61.5 (C) on agent readiness against Thunder Compute's 56.1 (C), and leads in 5 of 7 scored categories. Thunder Compute leads on reliability.", "question": "Which is better for AI agents, CoreWeave or Thunder Compute?" }, { "answer": "CoreWeave needs an access token. Thunder Compute takes an API key or an OAuth sign-in.", "question": "Do CoreWeave and Thunder Compute need an API key?" }, { "answer": "Yes. CoreWeave has a hosted endpoint at https://api.coreweave.com and Thunder Compute at https://api.thundercompute.com:8443/v1.", "question": "Can an agent call CoreWeave and Thunder Compute without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 79 against 70", "Agent ergonomics, 58 against 48", "Security \u0026 auth, 74 against 51", "Transparency \u0026 trust, 77 against 64" ], "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" }, { "aheadOn": [ "Reliability, 65 against 50" ], "also": null, "goodFor": "Agents in coding tools that rent a single persistent GPU machine for development, fine-tuning or a model server, at low hourly prices and over MCP.", "slug": "thunder-compute", "watchFor": "No rate limits, 429 guidance or SLA were found in the reviewed documentation, and the terms disclaim availability" } ], "job": { "capability": "compute.gpu", "name": "Compute gpu" }, "others": [ { "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/baseten-vs-thunder-compute.json", "title": "Baseten vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/baseten-vs-thunder-compute" }, { "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/beam-vs-thunder-compute.json", "title": "Beam vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/beam-vs-thunder-compute" }, { "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/cerebrium-vs-thunder-compute.json", "title": "Cerebrium vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute" }, { "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-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-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/hugging-face-inference-endpoints-vs-thunder-compute.json", "title": "Hugging Face Inference Endpoints vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.json", "title": "Hyperbolic vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.json", "title": "Koyeb vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.json", "title": "Lambda Cloud vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/lambda-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/modal-vs-thunder-compute.json", "title": "Modal vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/modal-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.json", "title": "Nebius AI Cloud vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/northflank-vs-thunder-compute.json", "title": "Northflank vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/northflank-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute.json", "title": "Replicate Deployments vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.json", "title": "Runpod vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/runpod-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai.json", "title": "Thunder Compute vs Vast.ai", "url": "https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda.json", "title": "Thunder Compute vs Verda", "url": "https://www.anchorterminal.com/compare/thunder-compute-vs-verda" } ], "scores": [ { "by": 15, "coreweave": 50, "edge": "thunder-compute", "key": "reliability", "name": "Reliability", "thunder-compute": 65, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 9, "coreweave": 79, "edge": "coreweave", "key": "schema", "name": "Schema \u0026 documentation", "thunder-compute": 70, "weight": 13 }, { "by": 10, "coreweave": 58, "edge": "coreweave", "key": "ergonomics", "name": "Agent ergonomics", "thunder-compute": 48, "weight": 13 }, { "by": 23, "coreweave": 74, "edge": "coreweave", "key": "security", "name": "Security \u0026 auth", "thunder-compute": 51, "weight": 14 }, { "by": 0, "coreweave": 20, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "thunder-compute": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 1, "coreweave": 80, "edge": "coreweave", "key": "maintenance", "name": "Maintenance \u0026 community", "thunder-compute": 79, "weight": 7 }, { "by": 13, "coreweave": 77, "edge": "coreweave", "key": "transparency", "name": "Transparency \u0026 trust", "thunder-compute": 64, "weight": 7 } ], "summary": "CoreWeave scores 61.5 (C) on agent readiness against Thunder Compute's 56.1 (C), and leads in 5 of 7 scored categories. Thunder Compute leads on reliability. Both do compute gpu.", "verdicts": { "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.", "thunder-compute": "The hosted MCP server signs in with OAuth and separate read and write scopes, and the REST API has a public OpenAPI 3.1 document with keyless price and availability endpoints. No rate limits, SLA or API changelog were found, instance creation has no idempotency key, and instances cannot be stopped, only deleted." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute", "json": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.md", "slim": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.min.md" }, "markdown": "CoreWeave scores 61.5 (C) on agent readiness against Thunder Compute's 56.1 (C), and leads in 5 of 7 scored categories. Thunder Compute leads on reliability. Both do compute gpu.\n\n- CoreWeave: grade C, 61.5/100, rank #421 of 842. Markdown https://www.anchorterminal.com/tools/coreweave.md · JSON https://www.anchorterminal.com/api/v1/tools/coreweave.json\n- Thunder Compute: grade C, 56.1/100, rank #576 of 842. Markdown https://www.anchorterminal.com/tools/thunder-compute.md · JSON https://www.anchorterminal.com/api/v1/tools/thunder-compute.json\n\n## Which one, for what\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\nAhead on:\n- Schema \u0026 documentation, 79 against 70\n- Agent ergonomics, 58 against 48\n- Security \u0026 auth, 74 against 51\n- Transparency \u0026 trust, 77 against 64\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### Thunder Compute (C)\n\nGood for: Agents in coding tools that rent a single persistent GPU machine for development, fine-tuning or a model server, at low hourly prices and over MCP.\n\nAhead on:\n- Reliability, 65 against 50\n\nWatch for: No rate limits, 429 guidance or SLA were found in the reviewed documentation, and the terms disclaim availability\n\n\n## Score by category\n\n| Category | Weight | CoreWeave | Thunder Compute | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 65 | Thunder Compute +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 79 | 70 | CoreWeave +9 |\n| Agent ergonomics | 13% (16.2 this run) | 58 | 48 | CoreWeave +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 74 | 51 | CoreWeave +23 |\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 | 79 | CoreWeave +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 77 | 64 | CoreWeave +13 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **61.5 · C** | **56.1 · C** | |\n\n## Facts side by side\n\n| Fact | CoreWeave | Thunder Compute |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | CoreWeave, Inc. | Thunder Compute |\n| Hosted endpoint | `https://api.coreweave.com` | `https://api.thundercompute.com:8443/v1` |\n| Transports | HTTP | HTTP, Streamable HTTP |\n| Auth | Token | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| Price for compute gpu | not published | $0.219 per GB per month |\n| x402 | no | no |\n| Licence | Proprietary service under CoreWeave's Terms of Service. The Terraform provider on GitHub is MIT | Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT |\n| Tools exposed | 38 | 28 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.Thunder-Compute/thunder-compute` |\n| Last release | 2026-10-02 | 2026-09-16 |\n| Terms last updated | 2022-06-30 | 2026-09-28 |\n| Privacy policy last updated | 2026-02-24 | 2026-09-28 |\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 | yes |\n| Terms or service can change without notice | yes | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | none | 34 stars |\n\n## Verdicts\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**Thunder Compute.** The hosted MCP server signs in with OAuth and separate read and write scopes, and the REST API has a public OpenAPI 3.1 document with keyless price and availability endpoints. No rate limits, SLA or API changelog were found, instance creation has no idempotency key, and instances cannot be stopped, only deleted.\n\n## Before you call either\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### Thunder Compute\n\n1. Call `GET /v2/status` or the `get_availability` tool before creating an instance. Availability can change before launch, and creation fails when a type is sold out.\n2. List instances before retrying a failed create, because the call has no idempotency key.\n3. Pass `public_key` on create. If omitted, the response carries a generated private key that is returned once.\n4. To pause work, create a snapshot, delete the instance and later create a new instance from the snapshot. Snapshot storage keeps billing until deleted.\n5. For headless use set `TNR_API_TOKEN` to a token from the console. The MCP server needs a browser sign-in on first connection.\n\n## Questions\n\n### Which is better for AI agents, CoreWeave or Thunder Compute?\n\nCoreWeave scores 61.5 (C) on agent readiness against Thunder Compute's 56.1 (C), and leads in 5 of 7 scored categories. Thunder Compute leads on reliability.\n\n### Do CoreWeave and Thunder Compute need an API key?\n\nCoreWeave needs an access token. Thunder Compute takes an API key or an OAuth sign-in.\n\n### Can an agent call CoreWeave and Thunder Compute without installing anything?\n\nYes. CoreWeave has a hosted endpoint at https://api.coreweave.com and Thunder Compute at https://api.thundercompute.com:8443/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.json, and with the fewest tokens: https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"coreweave\", \"b\": \"thunder-compute\"}`. From a terminal: `anchor compare coreweave thunder-compute`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/coreweave.json and https://www.anchorterminal.com/api/v1/tools/thunder-compute.json\n\n## Other comparisons with CoreWeave or Thunder Compute\n\n- [Baseten vs CoreWeave](https://www.anchorterminal.com/compare/baseten-vs-coreweave.md)\n- [Baseten vs Thunder Compute](https://www.anchorterminal.com/compare/baseten-vs-thunder-compute.md)\n- [Beam vs CoreWeave](https://www.anchorterminal.com/compare/beam-vs-coreweave.md)\n- [Beam vs Thunder Compute](https://www.anchorterminal.com/compare/beam-vs-thunder-compute.md)\n- [Cerebrium vs CoreWeave](https://www.anchorterminal.com/compare/cerebrium-vs-coreweave.md)\n- [Cerebrium vs Thunder Compute](https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.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 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 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- [Hugging Face Inference Endpoints vs Thunder Compute](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-thunder-compute.md)\n- [Hyperbolic vs Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md)\n- [Koyeb vs Thunder Compute](https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.md)\n- [Lambda Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.md)\n- [Modal vs Thunder Compute](https://www.anchorterminal.com/compare/modal-vs-thunder-compute.md)\n- [Nebius AI Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.md)\n- [Northflank vs Thunder Compute](https://www.anchorterminal.com/compare/northflank-vs-thunder-compute.md)\n- [Replicate Deployments vs Thunder Compute](https://www.anchorterminal.com/compare/replicate-deploy-vs-thunder-compute.md)\n- [Runpod vs Thunder Compute](https://www.anchorterminal.com/compare/runpod-vs-thunder-compute.md)\n- [Thunder Compute vs Vast.ai](https://www.anchorterminal.com/compare/thunder-compute-vs-vast-ai.md)\n- [Thunder Compute vs Verda](https://www.anchorterminal.com/compare/thunder-compute-vs-verda.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "CoreWeave vs Thunder Compute", "url": "" } ], "description": "CoreWeave scores 61.5 (C) on agent readiness against Thunder Compute's 56.1 (C), and leads in 5 of 7 scored categories. Thunder Compute leads on reliability. Both do compute gpu. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "CoreWeave C 61.5", "Thunder Compute C 56.1", "scores" ], "h1": "CoreWeave vs Thunder Compute", "image": "https://www.anchorterminal.com/assets/og/compare-coreweave-vs-thunder-compute.png", "path": "/compare/coreweave-vs-thunder-compute", "published": "2026-10-01", "section": "tools", "title": "CoreWeave vs Thunder Compute for AI agents, C 61.5 vs C 56.1", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute" }, "tokens": { "markdown": 2650, "slim": 680 }, "version": 1 }