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Is Liquid Compute GPU test reliable?

Private (key required) Liquid Compute GPU test answers but requires credentials, so Faceabot cannot test it anonymously. It is not counted as failing.

Last check: 2026-10-15 21:30 UTC · answered in 2607 ms · remote (no install)

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

What it does

Run GPU acceptance tests on your NVIDIA GPU nodes over SSH: DCGM, GEMM, HBM/PCIe bandwidth, NCCL.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.1 · publisher website
Connect your agent
{
  "mcpServers": {
    "gcat": {
      "url": "https://api.liquidcompute.co/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"com.liquidcompute/gcat"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements
WhenAnswersReal taskLatency
2026-10-15 21:30 UTC❌ auth_required2607 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.

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Publisher of Liquid Compute GPU test?

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Faceabot reliability badge for Liquid Compute GPU test

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Data in JSON: /api/catalog?id=com.liquidcompute/gcat · Stop probes: POST /api/reliability/opt-out

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