{ "data": { "a": { "slug": "nebius-ai-cloud", "name": "Nebius AI Cloud", "vendor": "Nebius", "vendorUrl": "https://nebius.com", "kind": "http-api", "category": "gpu-compute", "summary": "Nebius AI Cloud rents NVIDIA GPU virtual machines and InfiniBand clusters, with managed Kubernetes, Slurm and Serverless AI jobs and endpoints for containers. Resources are managed through REST and gRPC APIs, a CLI, a Terraform provider and SDKs.", "url": "https://www.anchorterminal.com/tools/nebius-ai-cloud", "markdownUrl": "https://www.anchorterminal.com/tools/nebius-ai-cloud.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/nebius-ai-cloud.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/nebius-ai-cloud.json", "repo": "https://github.com/nebius/api", "license": "Proprietary service under the Nebius Services Agreement. The API definitions, the Go, Python and JavaScript SDKs and the MCP server on GitHub are MIT", "transports": [ "http", "stdio" ], "remoteUrl": "https://api.nebius.cloud", "packages": [ { "registry": "pypi", "name": "nebius" }, { "registry": "npm", "name": "@nebius/js-sdk" }, { "registry": "go", "name": "github.com/nebius/gosdk" } ], "auth": "mixed", "authNotes": "Self-serve. A person signs up in the web console with a Google, GitHub or Microsoft account. Every API call takes `Authorization: Bearer` with an access token valid for 12 hours. A user gets one from `nebius iam get-access-token`. A service account uploads an RSA public key (an authorised key, with optional expiry), signs a five-minute RS256 JWT and exchanges it at `https://auth.eu.nebius.com/oauth2/token/exchange`. Permissions come from group roles (`auditor`, `viewer`, `editor`, `admin` and service roles) granted on a tenant, project or resource. Serverless AI endpoints take their own token set in `spec.authToken`.", "pricing": "usage", "pricingNotes": "Pay as you go, billed by the second, with no free tier or trial found. On-demand per GPU-hour from 1 October 2026, B300 $9.50, B200 $8.50, H200 $5.40, H100 $4.50, RTX PRO 6000 $1.80, and L40S $1.35 plus vCPU and RAM. Preemptible GPUs are spot priced from $0.79. Serverless AI bills at Compute prices and a stopped endpoint bills nothing. Adding a card charges $25 to the balance. Commitment discounts go through sales (https://docs.nebius.com/compute/resources/pricing, https://nebius.com/prices).", "priceSummary": "Pay per use", "where": "both", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI document or the price list (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 4137, "pypiWeekly": 468852, "asOf": "2026-10-08" }, "docsUrl": "https://docs.nebius.com/", "llmsTxt": "https://docs.nebius.com/llms.txt", "openapi": "https://api.nebius.cloud/openapi.json", "capabilities": [ "compute.gpu", "compute.endpoints", "compute.batch", "compute.containers" ], "tags": [ "hosted", "usage-priced", "openapi", "llms-txt", "grpc", "terraform", "mcp", "python", "typescript", "go", "status-page", "soc2", "enterprise" ], "lastRelease": "2026-10-07", "graded": true, "anchor": { "graded": true, "score": 67.2, "grade": "B", "agentReady": false, "rank": 240, "ranked": true, "rankOf": 842, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 77, "maintenance": 82, "payments": 20, "reliability": 57, "schema": 78, "security": 81, "transparency": 77 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "One API definition generates the REST and gRPC interfaces, the CLI, Terraform provider and three SDKs, with a 602-operation OpenAPI document, `X-Idempotency-Key` and role-scoped service accounts. The status page lists 14 major incidents between 14 July and 8 October 2026, no request rate limits were found, and signup needs a browser and a card.", "bestFor": "Teams that want whole GPU VMs or InfiniBand clusters in Europe, the UK, Israel or the US with IAM, Terraform and an SLA, and are content to manage endpoint lifecycles themselves.", "strengths": [ "OpenAPI 3.0.3 document at `https://api.nebius.cloud/openapi.json` with 602 operations, generated from the same protobuf definitions as the gRPC API, CLI, Terraform provider and SDKs", "`X-Idempotency-Key` header for modifying calls, and a `retry_type` field on errors that says whether to retry the call", "Service accounts sign in with an uploaded RSA key and receive 12-hour tokens, with roles granted per tenant, project or resource", "Per-second billing with public prices, and a 99.5 per cent monthly uptime commitment per virtual machine", "llms.txt, every docs page as Markdown, and a keyless docs MCP server at `https://docs.nebius.com/mcp`" ], "weaknesses": [ "Status page lists 14 incidents marked major between 14 July and 8 October 2026, including about 21 hours of partial degradation in us-central1 on 19 August", "No request rate limits with numbers and no Retry-After guidance found in the reviewed documentation", "Serverless AI endpoints run on one container VM that is started and stopped by hand; no autoscaling or scale to zero found", "No free tier or trial found. Adding a card at signup charges $25 to the balance, and signup is a browser flow through Google, GitHub or Microsoft", "The OpenAPI document has no examples, documents only 200 responses and reports its version as `version not set`" ], "agentNotes": [ "Use a service account with an authorised key, then exchange a five-minute RS256 JWT at `https://auth.eu.nebius.com/oauth2/token/exchange` for a 12-hour Bearer token", "Send `X-Idempotency-Key` with a random UUID on every create, update and delete, since a 504 can follow a call that succeeded", "Poll the returned operation (`/ai/v1/endpoints/operations/{id}`) until `status` is set; concurrent operations on one resource are not supported", "Stop or delete endpoints when idle. A stopped endpoint bills nothing, a stopped Devlab or VM still bills for its disk", "Check region support first. Serverless AI is absent from `eu-south1` and `us-north1`, and each GPU platform exists in one to four regions", "Run the beta `nebius/mcp-server` with safe mode on (the default); `nebius_cli_execute` can run any CLI command when `SAFE_MODE=false`" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 67.2 } ], "editorialScores": { "ergonomics": 77, "maintenance": 82, "payments": 20, "reliability": 57, "schema": 78, "security": 81, "transparency": 70 }, "provenanceScore": 83 }, "connect": { "install": "curl -sSL https://artifacts.nebius.cloud/cli/install.sh | bash", "http": "curl --request GET --url 'https://api.nebius.cloud/iam/v1/profiles' --header 'Authorization: Bearer \u003caccess_token\u003e'", "config": { "mcpServers": { "Nebius MCP Server": { "args": [ "--refresh-package", "nebius-mcp-server", "nebius-mcp-server@git+https://github.com/nebius/mcp-server@main" ], "command": "uvx", "env": {} } } } }, "letme": { "capability": "https://letme.dev/compute.gpu", "tool": "https://letme.dev/nebius-ai-cloud" }, "sameCompany": [ "nebius-token-factory-fine-tuning" ], "area": "models", "unitPrices": [ { "item": "NVIDIA H200 NVLink, on demand", "unit": "gpu-hour", "usd": 5.4, "note": "Billed per second. $4.50 before 1 October 2026" }, { "item": "NVIDIA H100 NVLink, on demand", "unit": "gpu-hour", "usd": 4.5, "note": "$3.85 before 1 October 2026" }, { "item": "NVIDIA B200 NVLink, on demand", "unit": "gpu-hour", "usd": 8.5 }, { "item": "NVIDIA B300 NVLink, on demand", "unit": "gpu-hour", "usd": 9.5 }, { "item": "NVIDIA RTX PRO 6000, on demand", "unit": "gpu-hour", "usd": 1.8 }, { "item": "NVIDIA L40S, GPU only", "unit": "gpu-hour", "usd": 1.35, "note": "vCPU ($0.01 to $0.012 an hour) and RAM ($0.0032 a GiB-hour) are billed separately" }, { "item": "NVIDIA H200 NVLink, preemptible", "unit": "gpu-hour", "usd": 0.79, "note": "Minimum spot price from 8 October 2026. The spot price can change every 15 minutes" }, { "item": "Network SSD disk", "unit": "gb-month", "usd": 0.071, "note": "Per GiB for 730 hours" } ], "provenance": { "legalEntity": "Nebius B.V.", "domain": "nebius.com", "domainRegistered": "2004-06-26", "endpointOnVendorDomain": false, "terms": "https://docs.nebius.com/legal/agreement", "privacy": "https://docs.nebius.com/legal/privacy", "statusPage": "https://status.nebius.com", "changelog": "https://docs.nebius.com/cli/release-notes", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The Services Agreement (published 15 September 2026, effective 28 September 2026) names Nebius B.V. under Dutch law for customers outside the United States and Israel, with other Nebius entities for those two countries. The separate Terms of Use page covers the website.", "The privacy policy (23 September 2026) gives Nebius B.V., Burgerweeshuispad 101, 1076ER Amsterdam, and says data processed for customers as a processor falls under the DPA at https://docs.nebius.com/legal/dpa.", "The API answers at api.nebius.cloud and tokens are exchanged at auth.eu.nebius.com. nebius.cloud is a second domain that Nebius's docs name for the API and the CLI installer.", "security.txt at nebius.com gives security@nebius.com and expires 2027-12-31. It has no Policy field.", "The changelog link is the CLI release notes, which are generated from the API. No separate API changelog was found.", "RDAP for nebius.com gives a registration date of 2004-06-26." ], "score": 83 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/nebius-ai-cloud.json", "live": { "slug": "nebius-ai-cloud", "probe": { "target": "https://api.nebius.cloud", "method": "get", "lastAt": "2026-10-09T10:42:50.420638285Z", "lastOk": true, "lastStatus": 404, "lastMs": 228, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 164, "p95ms24h": 237, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-09", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.nebius.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T10:41:49.609986027Z" }, "updatedAt": "2026-10-09T10:42:50.420638285Z" } }, "answer": "Nebius AI Cloud scores 67.2 (B) 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": "2026-10-09T10:42:58.723724397Z", "lastOk": true, "lastStatus": 404, "lastMs": 258, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 618, "p95ms24h": 745, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-09", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.thundercompute.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T10:42:06.359810687Z" }, "updatedAt": "2026-10-09T10:42:58.723724397Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Nebius", "b": "Thunder Compute", "name": "Vendor" }, { "a": "https://api.nebius.cloud", "b": "https://api.thundercompute.com:8443/v1", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "$1.35 per GPU-hour", "b": "$0.219 per GB per month", "name": "Price for compute gpu" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under the Nebius Services Agreement. The API definitions, the Go, Python and JavaScript SDKs and the MCP server on GitHub are MIT", "b": "Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT", "name": "Licence" }, { "a": "none", "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": "2026-10-07", "b": "2026-09-16", "name": "Last release" }, { "a": "2026-09-28", "b": "2026-09-28", "name": "Terms last updated" }, { "a": "2026-09-23", "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": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "4.1k npm/wk, 469k PyPI/wk", "b": "34 stars", "name": "Popularity" } ], "faq": [ { "answer": "Nebius AI Cloud scores 67.2 (B) 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, Nebius AI Cloud or Thunder Compute?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do Nebius AI Cloud and Thunder Compute need an API key?" }, { "answer": "Yes. Nebius AI Cloud has a hosted endpoint at https://api.nebius.cloud and Thunder Compute at https://api.thundercompute.com:8443/v1.", "question": "Can an agent call Nebius AI Cloud and Thunder Compute without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 78 against 70", "Agent ergonomics, 77 against 48", "Security \u0026 auth, 81 against 51", "Transparency \u0026 trust, 77 against 64" ], "also": [ "Runs on your own machine" ], "goodFor": "Teams that want whole GPU VMs or InfiniBand clusters in Europe, the UK, Israel or the US with IAM, Terraform and an SLA, and are content to manage endpoint lifecycles themselves.", "slug": "nebius-ai-cloud", "watchFor": "Status page lists 14 incidents marked major between 14 July and 8 October 2026, including about 21 hours of partial degradation in us-central1 on 19 August" }, { "aheadOn": [ "Reliability, 65 against 57" ], "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-nebius-ai-cloud.json", "title": "Baseten vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/baseten-vs-nebius-ai-cloud" }, { "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-nebius-ai-cloud.json", "title": "Beam vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/beam-vs-nebius-ai-cloud" }, { "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-nebius-ai-cloud.json", "title": "Cerebrium vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/cerebrium-vs-nebius-ai-cloud" }, { "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-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-thunder-compute.json", "title": "CoreWeave vs Thunder Compute", "url": "https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.json", "title": "Hugging Face Inference Endpoints vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud" }, { "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-nebius-ai-cloud.json", "title": "Hyperbolic vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud" }, { "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-nebius-ai-cloud.json", "title": "Koyeb vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/koyeb-vs-nebius-ai-cloud" }, { "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-nebius-ai-cloud.json", "title": "Lambda Cloud vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/lambda-vs-nebius-ai-cloud" }, { "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-nebius-ai-cloud.json", "title": "Modal vs Nebius AI Cloud", "url": "https://www.anchorterminal.com/compare/modal-vs-nebius-ai-cloud" }, { "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-northflank.json", "title": "Nebius AI Cloud vs Northflank", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-northflank" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-replicate-deploy.json", "title": "Nebius AI Cloud vs Replicate Deployments", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-replicate-deploy" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-runpod.json", "title": "Nebius AI Cloud vs Runpod", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-runpod" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-vast-ai.json", "title": "Nebius AI Cloud vs Vast.ai", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-vast-ai" }, { "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-verda.json", "title": "Nebius AI Cloud vs Verda", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-verda" }, { "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": 8, "edge": "thunder-compute", "key": "reliability", "name": "Reliability", "nebius-ai-cloud": 57, "thunder-compute": 65, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "edge": "nebius-ai-cloud", "key": "schema", "name": "Schema \u0026 documentation", "nebius-ai-cloud": 78, "thunder-compute": 70, "weight": 13 }, { "by": 29, "edge": "nebius-ai-cloud", "key": "ergonomics", "name": "Agent ergonomics", "nebius-ai-cloud": 77, "thunder-compute": 48, "weight": 13 }, { "by": 30, "edge": "nebius-ai-cloud", "key": "security", "name": "Security \u0026 auth", "nebius-ai-cloud": 81, "thunder-compute": 51, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "nebius-ai-cloud": 20, "thunder-compute": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 3, "edge": "nebius-ai-cloud", "key": "maintenance", "name": "Maintenance \u0026 community", "nebius-ai-cloud": 82, "thunder-compute": 79, "weight": 7 }, { "by": 13, "edge": "nebius-ai-cloud", "key": "transparency", "name": "Transparency \u0026 trust", "nebius-ai-cloud": 77, "thunder-compute": 64, "weight": 7 } ], "summary": "Nebius AI Cloud scores 67.2 (B) 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": { "nebius-ai-cloud": "One API definition generates the REST and gRPC interfaces, the CLI, Terraform provider and three SDKs, with a 602-operation OpenAPI document, `X-Idempotency-Key` and role-scoped service accounts. The status page lists 14 major incidents between 14 July and 8 October 2026, no request rate limits were found, and signup needs a browser and a card.", "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/nebius-ai-cloud-vs-thunder-compute", "json": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.md", "slim": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.min.md" }, "markdown": "Nebius AI Cloud scores 67.2 (B) 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- Nebius AI Cloud: grade B, 67.2/100, rank #240 of 842. Markdown https://www.anchorterminal.com/tools/nebius-ai-cloud.md · JSON https://www.anchorterminal.com/api/v1/tools/nebius-ai-cloud.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### Nebius AI Cloud (B)\n\nGood for: Teams that want whole GPU VMs or InfiniBand clusters in Europe, the UK, Israel or the US with IAM, Terraform and an SLA, and are content to manage endpoint lifecycles themselves.\n\nAhead on:\n- Schema \u0026 documentation, 78 against 70\n- Agent ergonomics, 77 against 48\n- Security \u0026 auth, 81 against 51\n- Transparency \u0026 trust, 77 against 64\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: Status page lists 14 incidents marked major between 14 July and 8 October 2026, including about 21 hours of partial degradation in us-central1 on 19 August\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 57\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 | Nebius AI Cloud | Thunder Compute | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 57 | 65 | Thunder Compute +8 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 70 | Nebius AI Cloud +8 |\n| Agent ergonomics | 13% (16.2 this run) | 77 | 48 | Nebius AI Cloud +29 |\n| Security \u0026 auth | 14% (17.5 this run) | 81 | 51 | Nebius AI Cloud +30 |\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) | 82 | 79 | Nebius AI Cloud +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 77 | 64 | Nebius AI Cloud +13 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **67.2 · B** | **56.1 · C** | |\n\n## Facts side by side\n\n| Fact | Nebius AI Cloud | Thunder Compute |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Nebius | Thunder Compute |\n| Hosted endpoint | `https://api.nebius.cloud` | `https://api.thundercompute.com:8443/v1` |\n| Transports | HTTP, stdio | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| Price for compute gpu | $1.35 per GPU-hour | $0.219 per GB per month |\n| x402 | no | no |\n| Licence | Proprietary service under the Nebius Services Agreement. The API definitions, the Go, Python and JavaScript SDKs and the MCP server on GitHub are MIT | Proprietary service under Thunder Compute's Terms and Conditions. The `tnr` CLI on GitHub is MIT |\n| Tools exposed | none | 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 | 2026-10-07 | 2026-09-16 |\n| Terms last updated | 2026-09-28 | 2026-09-28 |\n| Privacy policy last updated | 2026-09-23 | 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 | yes | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 4.1k npm/wk, 469k PyPI/wk | 34 stars |\n\n## Verdicts\n\n**Nebius AI Cloud.** One API definition generates the REST and gRPC interfaces, the CLI, Terraform provider and three SDKs, with a 602-operation OpenAPI document, `X-Idempotency-Key` and role-scoped service accounts. The status page lists 14 major incidents between 14 July and 8 October 2026, no request rate limits were found, and signup needs a browser and a card.\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### Nebius AI Cloud\n\n1. Use a service account with an authorised key, then exchange a five-minute RS256 JWT at `https://auth.eu.nebius.com/oauth2/token/exchange` for a 12-hour Bearer token\n2. Send `X-Idempotency-Key` with a random UUID on every create, update and delete, since a 504 can follow a call that succeeded\n3. Poll the returned operation (`/ai/v1/endpoints/operations/{id}`) until `status` is set; concurrent operations on one resource are not supported\n4. Stop or delete endpoints when idle. A stopped endpoint bills nothing, a stopped Devlab or VM still bills for its disk\n5. Check region support first. Serverless AI is absent from `eu-south1` and `us-north1`, and each GPU platform exists in one to four regions\n6. Run the beta `nebius/mcp-server` with safe mode on (the default); `nebius_cli_execute` can run any CLI command when `SAFE_MODE=false`\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, Nebius AI Cloud or Thunder Compute?\n\nNebius AI Cloud scores 67.2 (B) 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 Nebius AI Cloud and Thunder Compute need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Nebius AI Cloud and Thunder Compute without installing anything?\n\nYes. Nebius AI Cloud has a hosted endpoint at https://api.nebius.cloud 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/nebius-ai-cloud-vs-thunder-compute.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"nebius-ai-cloud\", \"b\": \"thunder-compute\"}`. From a terminal: `anchor compare nebius-ai-cloud thunder-compute`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/nebius-ai-cloud.json and https://www.anchorterminal.com/api/v1/tools/thunder-compute.json\n\n## Other comparisons with Nebius AI Cloud or Thunder Compute\n\n- [Baseten vs Nebius AI Cloud](https://www.anchorterminal.com/compare/baseten-vs-nebius-ai-cloud.md)\n- [Baseten vs Thunder Compute](https://www.anchorterminal.com/compare/baseten-vs-thunder-compute.md)\n- [Beam vs Nebius AI Cloud](https://www.anchorterminal.com/compare/beam-vs-nebius-ai-cloud.md)\n- [Beam vs Thunder Compute](https://www.anchorterminal.com/compare/beam-vs-thunder-compute.md)\n- [Cerebrium vs Nebius AI Cloud](https://www.anchorterminal.com/compare/cerebrium-vs-nebius-ai-cloud.md)\n- [Cerebrium vs Thunder Compute](https://www.anchorterminal.com/compare/cerebrium-vs-thunder-compute.md)\n- [CoreWeave vs Nebius AI Cloud](https://www.anchorterminal.com/compare/coreweave-vs-nebius-ai-cloud.md)\n- [CoreWeave vs Thunder Compute](https://www.anchorterminal.com/compare/coreweave-vs-thunder-compute.md)\n- [Hugging Face Inference Endpoints vs Nebius AI Cloud](https://www.anchorterminal.com/compare/hugging-face-inference-endpoints-vs-nebius-ai-cloud.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 Nebius AI Cloud](https://www.anchorterminal.com/compare/hyperbolic-vs-nebius-ai-cloud.md)\n- [Hyperbolic vs Thunder Compute](https://www.anchorterminal.com/compare/hyperbolic-vs-thunder-compute.md)\n- [Koyeb vs Nebius AI Cloud](https://www.anchorterminal.com/compare/koyeb-vs-nebius-ai-cloud.md)\n- [Koyeb vs Thunder Compute](https://www.anchorterminal.com/compare/koyeb-vs-thunder-compute.md)\n- [Lambda Cloud vs Nebius AI Cloud](https://www.anchorterminal.com/compare/lambda-vs-nebius-ai-cloud.md)\n- [Lambda Cloud vs Thunder Compute](https://www.anchorterminal.com/compare/lambda-vs-thunder-compute.md)\n- [Modal vs Nebius AI Cloud](https://www.anchorterminal.com/compare/modal-vs-nebius-ai-cloud.md)\n- [Modal vs Thunder Compute](https://www.anchorterminal.com/compare/modal-vs-thunder-compute.md)\n- [Nebius AI Cloud vs Northflank](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-northflank.md)\n- [Nebius AI Cloud vs Replicate Deployments](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-replicate-deploy.md)\n- [Nebius AI Cloud vs Runpod](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-runpod.md)\n- [Nebius AI Cloud vs Vast.ai](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-vast-ai.md)\n- [Nebius AI Cloud vs Verda](https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-verda.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": "Nebius AI Cloud vs Thunder Compute", "url": "" } ], "description": "Nebius AI Cloud scores 67.2 (B) 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": [ "Nebius AI Cloud B 67.2", "Thunder Compute C 56.1", "scores" ], "h1": "Nebius AI Cloud vs Thunder Compute", "image": "https://www.anchorterminal.com/assets/og/compare-nebius-ai-cloud-vs-thunder-compute.png", "path": "/compare/nebius-ai-cloud-vs-thunder-compute", "published": "2026-10-01", "section": "tools", "title": "Nebius AI Cloud vs Thunder Compute for AI agents, B 67.2 vs C 56.1", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/nebius-ai-cloud-vs-thunder-compute" }, "tokens": { "markdown": 2750, "slim": 680 }, "version": 1 }