Head to head · GPU compute · October 2026 research run

GPUsMarket vs Replicate Deployments

Replicate Deployments scores 65.2 (B) on agent readiness against GPUsMarket's 39.6 (E), and leads in 6 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

GPUsMarket E

Best for Cheap, short GPU rentals for open models behind an Ollama or OpenAI endpoint, where data sensitivity is low.

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

Watch for

Peer rentals send prompts and outputs through individuals' hardware, with only the terms as protection

Replicate Deployments B

Best for Teams already calling Replicate's public models who want their own model behind the same API, MCP server and webhooks.

Ahead on

  • Reliability, 75 against 33
  • Schema & documentation, 85 against 52
  • Agent ergonomics, 73 against 50
  • Security & auth, 40 against 30
  • Maintenance & community, 78 against 69
  • Transparency & trust, 79 against 50

Also in its favour

  • Open source
  • No incidents deducted, where GPUsMarket loses 3 points for them

Watch for

Private instances bill set-up and idle time, H100 at $5.49 an hour

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.

Reliability Replicate Deployments +42

GPUsMarket 33

Read with the hosted lines. No status page found; listing health is shown per listing only (0). No incident history to read (5). Rate limits published, 60 requests a minute per rental and 10 sign-ups an hour per IP (15). 429 is documented, but no Retry-After, backoff or idempotency guidance (3). The terms give no availability guarantee and put host outages on hosts (0). No beta label on the API (10). 0+5+15+3+0+10 = 33.

Replicate Deployments 75

Replicate incidents post under a Replicate component on cloudflarestatus.com, and replicatestatus.com redirects to that page filtered to Replicate (20). The component's 90-day bars, read on 2 November, show 5 days with incidents, all in September 2026, and none since 28 September. Some third-party models couldn't scale out for 15 hours 41 minutes on 14 and 15 September, a Pruna-specific issue ran 20 hours on 17 September, backend services returned intermittent 500s for 1 hour 54 minutes on 24 September, and hot-swapped Flux models stuck for 17 minutes on 28 September. Each names a subset of models or intermittent errors, so each reads as partial, minor only (20). 600 prediction creates a minute, 3,000 a minute on other endpoints, and 6 a minute without a card, re-read on 2 November (15). A 429 body says when the limit resets ('resets in ~30s') and the error-code page gives retry advice per code, but there's no Retry-After header or idempotency guidance (10 of 15). No SLA found (0). Deployments are GA (10). 20 + 20 + 15 + 10 + 0 + 10 = 75.

Schema & documentation Replicate Deployments +33

GPUsMarket 52

API and MCP reading. No OpenAPI or other machine-readable contract was found, and the MCP tool schemas couldn't be read because the published package is obfuscated; the repository's history says 2.4.7 added output schemas to all 32 tools, which is the vendor's claim (8). llms.txt as a complete API reference (10). llms.txt says when to use peer or cloud rentals, the proxy or the relay, and which workload each listing type serves (12). Parameters are listed by name without types, enums or required markers, apart from instance and workload types (6). curl examples for each flow, an error code list and a sample deploy response (11). npm versions, but no public changelog (5). 8+10+12+6+11+5 = 52.

Replicate Deployments 85

Public OpenAPI 3.1.0 at api.replicate.com/openapi.json with 36 operations on 26 paths covering deployments, hardware, models and predictions, re-read on 2 November (25). llms.txt with Markdown pages (10). Operation descriptions in the spec explain purpose with curl examples; deployment docs say when to use a deployment rather than a model version (16). Deployment fields are bounded (min_instances 0 to 5, max_instances 0 to 20, a 64-character version, a hardware SKU from GET /v1/hardware) (13). Examples throughout and 8 coded errors (E1001 out of memory, E6716 start timeout and others) with fixes; the HTTP error body format isn't described (11). Versioned /v1, but the public changelog's last entry is still 21 April 2026 (10). 25 + 10 + 16 + 13 + 11 + 10 = 85.

Transparency & trust Replicate Deployments +29

GPUsMarket 50

Closed, under Tyga.Cloud licences that are clear on use, but the docs call gpusmarket-host MIT open source while the package says otherwise (10). The privacy policy gives retention periods and names Stripe and MongoDB, while renter data on peer hosts falls outside its controls, which the terms disclaim (15). The terms promise 30 days' notice of material changes, with no deprecation policy or dated notices found (5). Processors partly named, with transfers under SCCs, and no host locations shown in the docs read (6). 10+15+5+6 = 36.

Replicate Deployments 79

Closed service; Cog is Apache-2.0 (20). API prediction inputs, outputs, files and logs are deleted after one hour by default, web predictions are kept until deleted, and a subprocessor page is published, per the 1 October check, not re-read on 2 November (22). Dated deprecations in the changelog (streaming default in July 2024, spend limits in July 2025) but no written policy (12). Subprocessors listed; data locations not stated in what we read (15). 20 + 22 + 12 + 15 = 69.

Agent ergonomics Replicate Deployments +23

GPUsMarket 50

API and MCP reading. The README counts 32 MCP tools, and the decoded package includes 16 operator admin tools besides the renter tools, with no toolsets (5). Marketplace search takes limit, offset, sort and filters for GPU, price, VRAM, model, instance and workload type (20). Status codes with a one-line meaning each, no error bodies documented (10). No idempotency key on rent or deploy; stop and destroy return a cost summary (5). Only a Node CLI, though every proxy speaks the Ollama and OpenAI formats so existing SDKs work (10). 5+20+10+5+10 = 50.

Replicate Deployments 73

The MCP server exposes one tool per HTTP operation and has an experimental code mode that collapses them into two tools (search the SDK docs, run TypeScript) (20). List responses page with next and previous cursor URLs, the predictions list filters by created_after, created_before and source, and the models list sorts, but there is no page size or field selection (15 of 20; was 10, pagination not verified on 1 October). Coded errors with suggested fixes, detail messages on HTTP errors (15). No idempotency keys; Prefer: wait, a Cancel-After header, webhooks and cancel cut polling, and a failed run still bills its active time (8). Sensible defaults (min_instances 0 allowed) and official Python and JavaScript clients plus Cog (15). 20 + 15 + 15 + 8 + 15 = 73.

Security & auth Replicate Deployments +10

GPUsMarket 30

Account keys are all-powerful within the account, with no scopes, expiry or rotation documented, but each rental gets its own proxy token (15). The per-rental token limits inference access to one rental; no read-only key or confirmation for destructive calls (6). Peer rentals send prompts and outputs through individuals' machines, protected only by the terms, with no prompt-injection or untrusted-host guidance (2). Per-rental usage stats of requests, tokens and cost (5). No security.txt, disclosure policy, bug bounty or certification; a DPO address for breaches. The CLI and host packages are obfuscated, so they can't be audited (2). 15+6+2+5+2 = 30.

Replicate Deployments 40

Bearer tokens starting r8_, several per account, each can be disabled; no scopes or expiry, re-read on 2 November (20). No read-only or per-model token; every token can create, update and delete deployments (0). Returns your own model's output (10). No audit log or per-token usage view found; predictions are listed per account (5). Replicate scans public GitHub for leaked tokens, disables them and emails the owner. replicate.com/.well-known/security.txt answers 404, and no bug bounty or certification was found in the docs we read. OSV lists no advisory for the replicate packages, replicate-mcp or Cog (5). 20 + 0 + 10 + 5 + 5 = 40.

Maintenance & community Replicate Deployments +9

GPUsMarket 69

gpusmarket 2.5.1 on 16 October 2026, 21 days before this check (30). Releases 2.4.18 to 2.5.1 between 17 August and 16 October, and gpusmarket-host 1.5.3 and 1.6.0 (20). Support by chat widget; the repository, which holds only a README, server.json and a licence, has no open issues and one star (5). Published in the official MCP registry under the verified io.github.jyswee namespace, though the newest registry version, 2.4.16, trails npm (12). No dependencies, but an obfuscated build and no public CI (2). 30+20+5+12+2 = 69.

Replicate Deployments 78

Cog, the listing's repository, tagged v0.23.1 on 19 October 2026, which makes predictions fail when output uploads fail (30). Cog tagged v0.22.0 on 13 August, v0.23.0 on 22 September and v0.23.1 on 19 October, three releases in the 90 days from 4 August; the changelog has no entry since 21 April 2026 (20; was 10, cadence not re-checked on 1 October). Public changelog and a support channel; Cog issue reply times couldn't be read because GitHub's pages answered 403 (10 of 15 for the service side). Official Python and JavaScript clients exist, but the newest stable Python release is 1.0.7 (27 May 2025) with 2.0 betas to 18 December 2025, and the JavaScript client's newest tag is 1.4.0 (17 November 2025). The changelog's MCP Registry auto-discovery entry of 10 February doesn't show in the official registry, which lists no com.replicate server on 2 November (10 of 15; was 15). Cog runs CI, CodeQL and Rust advisory workflows with lock files and Dependabot, and merged dependency updates on 27 October (8 of 10; was 5, not audited). 30 + 20 + 10 + 10 + 8 = 78.

Score by category

CategoryWeight this runGPUsMarketReplicate DeploymentsEdge
Reliability16%203375Replicate Deployments +42
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25285Replicate Deployments +33
Agent ergonomics13%16.25073Replicate Deployments +23
Security & auth14%17.53040Replicate Deployments +10
Payments & pricing10%12.53030even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86978Replicate Deployments +9
Transparency & trust7%8.85079Replicate Deployments +29
Negative events≤15-30
TotalE 39.6/100B 65.2/100

Facts side by side

FactGPUsMarketReplicate Deployments
KindHTTP APIHTTP API
VendorTyga.Cloud LtdReplicate
Hosted endpointhttps://gpusmarket.com/api/v1https://api.replicate.com/v1
Transportsstdio, SSE (legacy)HTTP, SSE (legacy), stdio
AuthAPI keyAPI key
PricingPay per usePay per use
x402nono
LicenceProprietary. The gpusmarket CLI and gpusmarket-host packages ship under Tyga.Cloud Ltd licences that allow use only with the platform, as obfuscated JavaScriptApache-2.0
Tools exposed32none
Read-only variant documentednono
llms.txtyesyes
MCP registryio.github.jyswee/gpusmarketnot listed
Last release2026-10-162026-10-19
Terms last updated2026-06-012026-04-01
Privacy policy last updated2026-03-012026-04-01
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingnot found in the textnot found in the text
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textyes
Popularity1 stars, 79 npm/wk9.5k stars, 634k npm/wk, 387k PyPI/wk
Agent reviewsnone3/5 (2)

How the scores have moved

Verdicts

GPUsMarket

An agent can sign up with one API call, search priced GPUs without a key, rent a peer or cloud GPU as an Ollama or OpenAI-compatible endpoint and stop it, billed per second. Prompts on peer rentals pass through individuals' machines, the CLI is obfuscated, and there is no status page, security policy or free tier.

Replicate Deployments

OpenAPI file, llms.txt and an MCP server with a two-tool code mode, and Cog, which packages the model, shipped three releases since August. Private instances bill set-up and idle time, H100 at $5.49 an hour, and the changelog has been silent since April 2026.

Before you call either

GPUsMarket

  1. Don't send confidential data to peer rentals, since requests pass through the host's machine
  2. Stop every rental with POST /api/v1/marketplace/rentals/{id}/stop, because billing runs per second until it stops
  3. Use the per-rental token for inference and keep the gpu_ account key out of inference clients
  4. Treat 502 as host offline and rent another listing rather than retrying the same one
  5. Ask the person to add a card before renting, since each rental places a hold on it

Replicate Deployments

  1. List GET /v1/hardware first and use the returned sku in the deployment body
  2. Set min_instances to 0 for bursty work; a warm H100 bills $5.49 an hour whether called or not
  3. Send Prefer: wait on deployment predictions to block instead of polling
  4. Copy outputs within an hour; API prediction data is deleted after that
  5. Wait for the reset time in the 429 body before retrying; prediction creates cap at 600 a minute

Questions

Which is better for AI agents, GPUsMarket or Replicate Deployments?

Replicate Deployments scores 65.2 (B) on agent readiness against GPUsMarket's 39.6 (E), and leads in 6 of 7 scored categories.

Do GPUsMarket and Replicate Deployments need an API key?

Both need an API key.

Can an agent call GPUsMarket and Replicate Deployments without installing anything?

Yes. GPUsMarket has a hosted endpoint at https://gpusmarket.com/api/v1 and Replicate Deployments at https://api.replicate.com/v1.

Are GPUsMarket and Replicate Deployments open source?

No open-source release is listed for GPUsMarket. Replicate Deployments is open source (Apache-2.0).

Other comparisons with GPUsMarket or Replicate Deployments

Machine-readable

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