Agentery pricing intelligence · Provider profile · gpu-router
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gpu-router

↗ github.com/ayushg8/gpu-router official repository

Open-source CLI and local daemon that routes training jobs across free-tier GPUs from Kaggle, Google Colab, Lightning AI, and Apple Silicon. Supports quota tra…

github projectSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Billing model—
Last observation—pricing pages rechecked daily
Website liveness28 Sept 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

gpu-router

Open-source CLI and local daemon that routes training jobs across free-tier GPUs from Kaggle, Google Colab, Lightning AI, and Apple Silicon. Supports quota tra…

Agentery has not yet captured structured capability detail for this provider.

Official gpu-router links

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is gpu-router good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Niche—
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

gpu-router's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

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See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "gpu_router",
  "name": "gpu-router",
  "url": "https://github.com/ayushg8/gpu-router",
  "logo": "https://github.com/ayushg8.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "Open-source CLI and local daemon that routes training jobs across free-tier GPUs from Kaggle, Google Colab, Lightning AI, and Apple Silicon. Supports quota tra…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No reliable public SaaS pricing is shown; the project describes routing jobs through free cloud GPU tiers.",
    "confidence": "medium",
    "source_url": "https://github.com/ayushg8/gpu-router",
    "checked_at": "2026-09-28T03:01:25.987Z",
    "source_kind": "vendor",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "github_project",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/ayushg8/gpu-router"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/ayushg8/gpu-router",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 631,
    "uptime_7d": null,
    "checked_at": "2026-09-28T02:37:15.463Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}