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Is GPU Cloud reliable?

Reliable (measured) Yes. Faceabot measured GPU Cloud 32 times: 100% of checks succeeded, including the last 32 in a row (last check 2026-10-19 20:00 UTC). It answers, but its real task has not worked yet (0/32 real results): see "Does it actually do the job?" below.

Last check: 2026-10-19 20:00 UTC · answered in 6963 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Rent H100, RTX PRO 6000, A100, L40 and RTX A6000 GPUs by the hour in Montréal, Canada, in CAD.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "gpu-cloud": {
      "url": "https://gpucloud.ca/api/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"ca.gpucloud/gpu-cloud"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Fails real tasks — Faceabot asked gpucloud_get_auto_reload to do a small read-only task 32 time(s): 0 returned a real result. Last result: tool_error (its schema declares no required input, so Faceabot sent {}; the tool answered with an error, so it probably needs inputs its schema does not declare) in 4000 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.
Faceabot measurements
WhenAnswersReal taskLatency
2026-10-19 20:00 UTC✅ ok❌ tool_error6963 ms
2026-10-19 06:45 UTC✅ ok❌ tool_error9025 ms
2026-10-18 14:20 UTC✅ ok❌ tool_error7738 ms
2026-10-18 04:05 UTC✅ ok❌ tool_error5532 ms
2026-10-17 20:05 UTC✅ ok❌ tool_error5889 ms
2026-10-17 11:40 UTC✅ ok❌ tool_error7164 ms
2026-10-17 03:55 UTC✅ ok❌ tool_error7704 ms
2026-10-16 20:15 UTC✅ ok❌ tool_error6156 ms
2026-10-16 13:05 UTC✅ ok❌ tool_error8219 ms
2026-10-16 06:05 UTC✅ ok❌ tool_error5899 ms
2026-10-15 23:10 UTC✅ ok❌ tool_error4195 ms
2026-10-15 16:12 UTC✅ ok❌ tool_error6925 ms
2026-10-15 09:31 UTC✅ ok❌ tool_error4168 ms
2026-10-15 03:00 UTC✅ ok❌ tool_error4882 ms
2026-10-14 20:35 UTC✅ ok❌ tool_error6186 ms
2026-10-14 14:05 UTC✅ ok❌ tool_error5861 ms
2026-10-14 07:40 UTC✅ ok❌ tool_error3421 ms
2026-10-14 00:51 UTC✅ ok❌ tool_error7890 ms
2026-10-13 18:45 UTC✅ ok❌ tool_error6639 ms
2026-10-13 12:35 UTC✅ ok❌ tool_error8415 ms
Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Find tools similar to GPU Cloud →

Publisher of GPU Cloud?

Show your measured reliability on your README or website:

Faceabot reliability badge for GPU Cloud

[![Measured by Faceabot](https://faceabot.com/badge/ca.gpucloud/gpu-cloud.svg)](https://faceabot.com/tools/ca.gpucloud/gpu-cloud)
Data in JSON: /api/catalog?id=ca.gpucloud/gpu-cloud · Stop probes: POST /api/reliability/opt-out

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