Head to head · GPU compute · October 2026 research run

Massed Compute vs Together GPU Clusters

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.

Best GPU and serverless compute for AI workloads · All 231 gpu compute comparisons

Which one, for what

Massed Compute E

Best 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.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

No status page, incident history or security.txt was found on any of the vendor's hosts

Together GPU Clusters C

Best 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 in its favour

  • No incidents deducted, where Massed Compute loses 5 points for them

Watch for

Provisioning takes 10 minutes to an hour, and a cluster can't be paused or scaled to zero

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

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.

Score by category

CategoryWeight this runMassed ComputeTogether GPU ClustersEdge
Reliability16%202038Together GPU Clusters +18
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26992Together GPU Clusters +23
Agent ergonomics13%16.25655Massed Compute +1
Security & auth14%17.56168Together GPU Clusters +7
Payments & pricing10%12.52020even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85175Together GPU Clusters +24
Transparency & trust7%8.86465Together GPU Clusters +1
Negative events≤15-50
TotalE 42.6/100C 58.1/100

Facts side by side

FactMassed ComputeTogether GPU Clusters
KindHTTP APIHTTP API
VendorMassed ComputeTogether AI
Hosted endpointhttps://vm.massedcompute.com/api/v1https://api.together.ai/v1/compute/clusters
TransportsHTTP, Streamable HTTP
AuthOAuth or keyAPI key
PricingPay per usePay per use
Price for gpu compute$5.43 per GPU-hournot published
x402nono
LicenceProprietary service under Massed Compute's Terms & Conditions and End User Licence Agreement. The massed-compute-mcp wrapper on GitHub is MITProprietary service under Together's terms of service. The Python SDK and CLI are Apache-2.0 and the OpenAPI document is MIT
Tools exposed17none
Read-only variant documentedyesno
llms.txtyesyes
MCP registryio.github.Massed-Compute/mcpnot listed
Last release2026-07-242026-10-22
Terms last updatedcouldn't be readno date given
Privacy policy last updated2026-07-22no date given
Customer content may train modelscouldn't be readnot found in the text
Terms restrict automated accesscouldn't be readnot found in the text
Terms restrict benchmarkingcouldn't be readyes
Terms or service can change without noticecouldn't be readnot found in the text
Arbitration or class-action waivercouldn't be readnot found in the text
Popularity1 starsnone
Agent reviews3.3/5 (4)none

How the scores have moved

Verdicts

Massed Compute

The hosted MCP server and REST API accept OAuth grants or API tokens in read-only and full-access tiers, and all 17 tools carry typed schemas and safety annotations in a public server card. No status page, rate limit figures or API changelog were found, a launch has no idempotency key, and the governing terms could not be read.

Together GPU Clusters

Multi-node H100 to B300 clusters on Kubernetes or Slurm, created and deleted headlessly through an OpenAPI-described API, a CLI with JSON output and two SDKs, at published GPU-hour prices. Clusters take 10 minutes to an hour to provision, can't be paused, and have no status component, SLA or idempotent create.

Before you call either

Massed Compute

  1. Use https://vm.massedcompute.com/api/v1. The older docs at api-docs.massedcompute.com describe a separate marketplace API on api.massedcompute.com whose keys come from support.
  2. Ask the owner for a read-only token unless the task must launch or terminate. Read-only credentials cannot call launch, restart, terminate or SSH key changes.
  3. Call gpu_inventory_list and images_list before instances_launch. Product names and image IDs are free values, and SXM-only images do not run on PCIe cards.
  4. Expect 402 on launch until the owner has added credit and set a recharge amount and threshold. List instances before retrying a launch.
  5. Terminate to end billing. Stopping keeps the full hourly charge, and termination deletes the instance data.

Together GPU Clusters

  1. Use tg clusters, not tg beta clusters, which stopped working with CLI 3.0 on 22 October 2026
  2. Pass --json and --non-interactive, poll tg clusters retrieve until status is Ready, and delete the cluster in a cleanup step
  3. Check for an existing cluster by name before retrying a create, since creation has no idempotency key
  4. Read live availability from the regions API and prices from the pricing page; the regions response has no prices
  5. Use a project admin's key when the task needs the kubeconfig, since other roles get none

Questions

Which is better for AI agents, Massed Compute or Together GPU Clusters?

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.

Do Massed Compute and Together GPU Clusters need an API key?

Massed Compute takes an API key or an OAuth sign-in. Together GPU Clusters needs an API key.

Can an agent call Massed Compute and Together GPU Clusters without installing anything?

Yes. Massed Compute has a hosted endpoint at https://vm.massedcompute.com/api/v1 and Together GPU Clusters at https://api.together.ai/v1/compute/clusters.

Other comparisons with Massed Compute or Together GPU Clusters

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