cheap-gpus
Registry code: 28716b7309122e5d
Live GPU rental prices (USD per GPU-hour) across ~37 cloud providers, LLM inference prices (USD per 1M tokens) across ~24 providers, and market-implied future GPU prices from prediction markets and futures. Prices refresh every 6-8 hours; every row carries synced_at and a stale flag. Use list_gpu_families / find_model to resolve names first. Always cite the returned source_url.
- endpoint
- https://cheap-gpus.com/mcp
- protocol
- streamable-http ·2025-06-18
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is cheap-gpus live?
- Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
- Is cheap-gpus free to use?
- Yes — the hub reached it with no key and no payment.
- What tools does cheap-gpus have?
- 7 tools: gpu_price_history, gpu_price_forecast, find_model, gpus_needed_for_model, cheapest_gpu, cheapest_model_route, list_gpu_families.
- Is cheap-gpus safe to connect?
- The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
90 days 100%· all time 100%
last good check
of 7 tools
- unknown → live
Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.
through this hub
successful
what callers paid
Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
list_gpu_families open 1h ago
List every GPU family tracked on cheap-gpus.com, with VRAM, live cheapest on-demand price (USD per GPU-hour), and how many providers currently offer it.
{ "type": "object", "title": "list_gpu_familiesArguments", "properties": {} }arguments 5 linesgpu_price_history unknown never probed
Daily price history for one GPU family: each day's median across providers of each provider's cheapest offer (USD per GPU-hour). days: 1-90.
{ "type": "object", "title": "gpu_price_historyArguments", "required": [ "gpu" ], "properties": { "gpu": { "type": "string", "title": "Gpu" }, "days": { "type": "integer", "title": "Days", "default": 30 }, "pricing_type": { "type": "string", "title": "Pricing Type", "default": "on_demand" } } }arguments 23 linesgpu_price_forecast unknown never probed
Market-implied future rental price for one GPU family (USD per GPU-hour), from prediction markets (Kalshi, Polymarket) and ICE futures, plus today's compute-index benchmarks and cheap-gpus.com's own current median price. Covers H100, H200, B200, A100 and RTX 5090.
{ "type": "object", "title": "gpu_price_forecastArguments", "required": [ "gpu" ], "properties": { "gpu": { "type": "string", "title": "Gpu" } } }arguments 13 linesfind_model unknown never probed
Search the LLM catalog by name (e.g. "deepseek v3", "gpt-oss", "llama 70b"). Returns model slugs to pass to cheapest_model_route / gpus_needed_for_model, most widely offered first. limit: 1-10.
{ "type": "object", "title": "find_modelArguments", "required": [ "query" ], "properties": { "limit": { "type": "integer", "title": "Limit", "default": 10 }, "query": { "type": "string", "title": "Query" } } }arguments 18 linesgpus_needed_for_model unknown never probed
How many GPUs it takes to self-host an open-weight LLM at a given quantization, and the cheapest rental setups for it right now. quant is one of: fp16, bf16, fp8, mxfp8, int8, q6, fp6, q5, q4km, nvfp4, awq, mxfp4, gptq, int4, q3, q2, iq2, iq1. Estimates memory only (weights + 20% runtime overhead), not throughput. limit: 1-10.
{ "type": "object", "title": "gpus_needed_for_modelArguments", "required": [ "model" ], "properties": { "limit": { "type": "integer", "title": "Limit", "default": 5 }, "model": { "type": "string", "title": "Model" }, "quant": { "type": "string", "title": "Quant", "default": "fp8" } } }arguments 23 linescheapest_gpu unknown 1h ago
Cheapest current rental offers for one GPU family (e.g. "H100", "RTX 5090", "b200"), in USD per GPU-hour, cheapest first, one row per provider. pricing_type is "on_demand" (default; can't be interrupted) or "spot" (cheaper, the provider can reclaim the machine). limit: 1-10.
{ "type": "object", "title": "cheapest_gpuArguments", "required": [ "gpu" ], "properties": { "gpu": { "type": "string", "title": "Gpu" }, "limit": { "type": "integer", "title": "Limit", "default": 5 }, "pricing_type": { "type": "string", "title": "Pricing Type", "default": "on_demand" } } }arguments 23 linescheapest_model_route unknown 1h ago
Cheapest inference providers for one LLM (e.g. "deepseek-v3", "gpt-oss-120b"; use find_model if unsure of the name). Prices are USD per 1M tokens; estimated_cost_usd is for the given input/output token counts. One row per provider, cheapest first. limit: 1-10.
{ "type": "object", "title": "cheapest_model_routeArguments", "required": [ "model" ], "properties": { "limit": { "type": "integer", "title": "Limit", "default": 5 }, "model": { "type": "string", "title": "Model" }, "input_tokens": { "type": "integer", "title": "Input Tokens", "default": 1000000 }, "output_tokens": { "type": "integer", "title": "Output Tokens", "default": 1000000 } } }arguments 28 lines
This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.
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An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.
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Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.
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- success rate
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- accepted
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- rejected
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- settled without a human
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- paid reviews
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.