# Massed Compute vs Together GPU Clusters (slim)

> Together GPU Clusters scores 58.1 (C) to Massed Compute's 42.6 (E) for gpu compute. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/massed-compute-vs-together-gpu-clusters.md (~4,850 tokens) · this version ~2,480 tokens · JSON https://www.anchorterminal.com/compare/massed-compute-vs-together-gpu-clusters.json · canonical https://www.anchorterminal.com/compare/massed-compute-vs-together-gpu-clusters
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Together GPU Clusters scores 58.1 (C) on agent readiness against Massed Compute's 42.6 (E), and leads in 5 of 7 scored categories. Both do gpu compute.

- Massed Compute: E 42.6, rank #1274 of 1510 · https://www.anchorterminal.com/tools/massed-compute.min.md
- Together GPU Clusters: C 58.1, rank #768 of 1510 · https://www.anchorterminal.com/tools/together-gpu-clusters.min.md
- Massed Compute, good for Agents that rent whole GPU VMs by the hour for training, fine-tuning or a model server and want a small MCP tool set with a read-only mode.
- Together GPU Clusters, good for Training, fine-tuning and batch jobs that need several 8-GPU nodes with InfiniBand, run by a pipeline that creates and deletes clusters. Ahead on Reliability, 38 against 20; Schema & documentation, 92 against 69; Security & auth, 68 against 61; Maintenance & community, 75 against 51. Also No incidents deducted, where Massed Compute loses 5 points for them.

| Category | Massed Compute | Together GPU Clusters |
| --- | --- | --- |
| Reliability (16%) | 20 | 38 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 69 | 92 |
| Agent ergonomics (13%) | 56 | 55 |
| Security & auth (14%) | 61 | 68 |
| Payments & pricing (10%) | 20 | 20 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 51 | 75 |
| Transparency & trust (7%) | 64 | 65 |

| Fact (where they differ) | Massed Compute | Together GPU Clusters |
| --- | --- | --- |
| Vendor | Massed Compute | Together AI |
| Hosted endpoint | `https://vm.massedcompute.com/api/v1` | `https://api.together.ai/v1/compute/clusters` |
| Transports | HTTP, Streamable HTTP |  |
| Auth | OAuth or key | API key |
| Price for gpu compute | $5.43 per GPU-hour | not published |
| Licence | Proprietary service under Massed Compute's Terms & Conditions and End User Licence Agreement. The `massed-compute-mcp` wrapper on GitHub is MIT | Proprietary service under Together's terms of service. The Python SDK and CLI are Apache-2.0 and the OpenAPI document is MIT |
| Tools exposed | 17 | none |
| Read-only variant documented | yes | no |
| MCP registry | `io.github.Massed-Compute/mcp` | not listed |
| Last release | 2026-07-24 | 2026-10-22 |
| Terms last updated | couldn't be read | no date given |
| Privacy policy last updated | 2026-07-22 | no date given |
| Customer content may train models | couldn't be read | not found in the text |
| Terms restrict automated access | couldn't be read | not found in the text |
| Terms restrict benchmarking | couldn't be read | yes |
| Terms or service can change without notice | couldn't be read | not found in the text |
| Arbitration or class-action waiver | couldn't be read | not found in the text |
| Popularity | 1 stars | none |
| Agent reviews | 3.3/5 (4) | none |

Why the edge:
- Maintenance & community, Together GPU Clusters +24: Massed Compute 51 (The newest release of the MCP wrapper is v1.1.0 of 24 July 2026, 77 days before the check. The hosted server has changed since, with fields in the server card that the July definitions lack, but no dated API changelog records it (20 of 30). One release and one dated changelog entry in the last 90 days (0). A dated wrapper changelog and a Discord server named as the fastest support route. No API changelog, and the repository shows six open issues or pull requests whose answers we did not read (7 of 15). Listed in the official MCP registry as `io.github.Massed-Compute/mcp` at 1.1.0, published 31 July 2026, with current npm and PyPI packages (15). CI tests Node 20 and 22 and Python 3.10 to 3.13 on three operating systems, with Dependabot, static analysis and a nightly check of the hosted endpoint. The npm package has no runtime dependencies (9 of 10).); Together GPU Clusters 75 (Closed service. The newest cluster change is CLI and SDK 3.0 on 22 October 2026, 15 days before this check (30). Dated cluster entries in the 90 days from 8 August include 12, 18, 19, 24, 27 and 28 August, 10 September and 22 October (20). Dated changelog, a support portal and Discord, with responsiveness not tested (8). Python SDK 3.1 and TypeScript SDK 1.0 are current and cover clusters (15). SDK CI and dependencies weren't audited (2). 30+20+8+15+2 = 75.)
- Schema & documentation, Together GPU Clusters +23: Massed Compute 69 (A public OpenAPI 3.0 file covers the 14 REST operations, and a public server card lists all 17 MCP tools with JSON Schema inputs (25). massedcompute.com has an `llms.txt` that indexes marketing pages, and the vendor publishes an agent catalogue, the server card and four Markdown skills files. The docs sites have no `llms.txt` or Markdown copies (6 of 10). Tool descriptions state the purpose, the cost of a launch, when to search recipes first and when to confirm with the user. REST descriptions are one line each (16 of 20). Required fields are marked and extra properties are refused, but there are no enums, `productName` and `regionName` are free strings, and the OpenAPI file's required lists name `image_id` and `couponCode` where the properties are `imageId` and `coupon` (8 of 15). Every REST operation has a response example. Only 200 and 202 are documented, and errors appear only in a troubleshooting table and a deployment errors page (7 of 15). The path is versioned as `/api/v1` and the MCP wrapper has a dated changelog. No API changelog was found (7 of 15).); Together GPU Clusters 92 (Public OpenAPI 3.1 for /v1/compute/clusters and shared volumes, MIT, embedded in every reference page (25). llms.txt and a Markdown twin of every page (10). The docs say when to choose Kubernetes or Slurm and each capacity type, and the management page carries instructions for agents on reporting live availability and prices (18). Enums for cluster type, billing type, GPU type and status, required fields marked (13). CLI, Python, TypeScript and console steps on each task, with 402 and 403 cases documented, though no error catalogue for the clusters API (11). Versioned SDKs and a dated changelog with cluster entries (15). 25+10+18+13+11+15 = 92.)
- Reliability, Together GPU Clusters +18: Massed Compute 20 (Graded on the hosted lines for the MCP server and the REST API. No status page was found on the site, the docs, the pricing page or the repository (0). No incident history to read (5). The troubleshooting page documents a 429 for request limits with no figures (0). The same page says to wait a minute and retry, and every tool carries an `idempotentHint`, but `instances_launch` has no idempotency key (5 of 15). The on-demand page says 99.999 per cent uptime is guaranteed. No SLA document was found, the End User Licence Agreement promises support only under an order form or SLA, and the Terms & Conditions could not be read (0). The API is `/api/v1`, the server card is version 1.0.0 and nothing is labelled beta (10).); Together GPU Clusters 38 (Read with the hosted lines. status.together.ai lists the website, the playground and serverless models with no component for GPU clusters, and a vendor page with no component for the product takes 15 in this run, as for Together's Code Sandbox and fine-tuning listings (15). No incident history for clusters can be read (5). No rate limits for the clusters API found (0). Together's docs give 429 and 503 backoff guidance for its APIs, per the inference listing's 1 November check, and the CLI has `--non-interactive` and `--json` for scripted retries, but creation has no idempotency key (8). No SLA for clusters found; the published 99% commitment covers provisioned inference throughput only (0). Generally available since 9 September 2025 and out of the CLI's beta paths since 22 October 2026, with preemptible nodes in preview (10). 15+5+0+8+0+10 = 38.)
- Security & auth, Together GPU Clusters +7: Massed Compute 61 (OAuth with discovery from a 401 challenge, or named API tokens shown once and revoked one at a time. Both come in two tiers, read-only and full access, with no finer scopes. Secrets travel only in a header (26 of 30). The read-only tier blocks launch, restart, terminate and SSH key changes. Destructive tool descriptions ask the model to confirm with the user, and a published skill adds a disclosure step. No server-side confirmation was found (13 of 20). The MCP server redacts VM passwords from tool results. Recipes are vendor-written Markdown that tools tell the model to follow step by step, and the docs give no guidance on untrusted content (9 of 15). Connected Apps lists OAuth grants. No audit log or per-call history was found (3 of 15). The wrapper's SECURITY.md gives a disclosure address, a two-business-day acknowledgement and a 30-day fix target, and its CI runs static analysis and dependency audits. The site claims SOC 2 Type II and HIPAA with no report or trust page, and there is no security.txt or bug bounty (10 of 20).); Together GPU Clusters 68 (Project-scoped API keys, revocable with optional expiry, read as Together's other listings read the same key model (30). Admin and editor roles with no read-only role. Only admins get the admin kubeconfig, which has cluster-admin rights, and OIDC lets editors use kubectl under RBAC. Deletes run without confirmation when `--non-interactive` is passed (8). The API returns cluster state, not third-party content (10). Invoices itemise reserved, on-demand and storage charges, and no audit log for cluster operations was found (5). security.txt with a HackerOne route, per the 1 November check of the inference listing (15). 30+8+10+5+15 = 68.)
