FastGPU

Compare live GPU cloud rental prices and match workloads to the cheapest provider.

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品質與安全性

A
說明品質
100%
結構描述完整度
90%
命名品質
90%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,074Token(工具定義)
~5.2 KB典型回應大小
中等的注意力影響(128k 上下文的 0.84%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "fastgpu": {
      "url": "https://fastgpu.co/api/mcp"
    }
  }
}

遠端端點

https://fastgpu.co/api/mcpstreamable-http

它能做什麼

工具清單

工具(2)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢list_gpu_prices(vendor, tier)

One entry per GPU model with the current cheapest live rental price across the whole market (RunPod, Vast.ai, Lambda, hyperscalers and more). No key required. Use this to compare GPU prices.

輸入結構描述

{
  "type": "object",
  "properties": {
    "vendor": {
      "type": "string",
      "description": "Filter by GPU vendor.",
      "enum": [
        "NVIDIA",
        "AMD"
      ]
    },
    "tier": {
      "type": "string",
      "description": "Filter by tier.",
      "enum": [
        "flagship",
        "datacenter",
        "prosumer",
        "entry"
      ]
    }
  }
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "updated_at": {
      "type": [
        "string",
        "null"
      ]
    },
    "stale": {
      "type": "boolean"
    },
    "count": {
      "type": "integer"
    },
    "gpus": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "gpu": {
            "type": "string"
          },
          "vram_gb": {
            "type": [
              "number",
              "null"
            ]
          },
          "vendor": {
            "type": [
              "string",
              "null"
            ]
          },
          "arch": {
            "type": [
              "string",
              "null"
            ]
          },
          "tier": {
            "type": [
              "string",
              "null"
            ]
          },
          "cheapest_usd_hr": {
            "type": [
              "number",
              "null"
            ]
          },
          "cheapest_provider": {
            "type": [
              "string",
              "null"
            ]
          },
          "cheapest_min_gpu_count": {
            "type": [
              "integer",
              "null"
            ]
          },
          "provider_count": {
            "type": "integer"
          },
          "offer_count": {
            "type": "integer"
          },
          "url": {
            "type": "string"
          }
        }
      }
    }
  },
  "required": [
    "count",
    "gpus"
  ]
}
🟢match_workload(query, model, params_b, vram_gb, task, ...)

The routing DECISION: describe a job (a model, size, or GPU need) and get the ranked, reasoned recommendation for the cheapest place to run it across the live market, with the required VRAM, GPU count, effective $/hr, and how much cheaper it is than a hyperscaler. No key required. Results mirror the site and apply a small, disclosed partner tie-break between otherwise-equal offers (each match reports partner true/false).

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Plain-language job, e.g. \"cheapest to serve Llama 3 70B\" or \"2x H100 for fine-tuning\". Provide this OR a structured spec below."
    },
    "model": {
      "type": "string",
      "description": "Open model name to size against, e.g. \"Llama 3 70B\", \"Qwen 72B\", \"Mixtral\"."
    },
    "params_b": {
      "type": "number",
      "description": "Model size in billions of parameters when no exact model is named."
    },
    "vram_gb": {
      "type": "integer",
      "description": "Rough VRAM the job needs, in GB, if you already know it."
    },
    "task": {
      "type": "string",
      "description": "What the job does.",
      "enum": [
        "inference",
        "finetune-lora",
        "finetune-full",
        "generate",
        "transcribe",
        "embed"
      ]
    },
    "precision": {
      "type": "string",
      "description": "Numeric precision to size the model at.",
      "enum": [
        "fp16",
        "int8",
        "int4"
      ]
    },
    "gpu_count": {
      "type": "integer",
      "description": "Exact positive GPU count. Overrides a count in query text. Returns no matches if no supported configuration fits; omit for automatic sizing."
    },
    "budget_usd_hr": {
      "type": "number",
      "description": "Only recommend configs at or under this hourly budget."
    },
    "region": {
      "type": "string",
      "description": "Restrict to a data-residency region.",
      "enum": [
        "US",
        "EU",
        "ASIA"
      ]
    },
    "spot": {
      "type": "string",
      "description": "Set true to include interruptible spot capacity for a cheaper rate.",
      "enum": [
        "true",
        "false"
      ]
    },
    "reserved": {
      "type": "string",
      "description": "Set true to include reserved / committed-term capacity for a lower rate.",
      "enum": [
        "true",
        "false"
      ]
    }
  }
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "updated_at": {
      "type": [
        "string",
        "null"
      ]
    },
    "stale": {
      "type": "boolean"
    },
    "workload": {
      "type": "object",
      "properties": {
        "interpretation": {
          "type": "string"
        },
        "identified": {
          "type": "boolean"
        },
        "task": {
          "type": "string"
        },
        "precision": {
          "type": "string"
        },
        "vram_required_gb": {
          "type": "number"
        },
        "gpu_count": {
          "type": [
            "integer",
            "null"
          ]
        }
      }
    },
    "hero": {
      "type": [
        "object",
        "null"
      ],
      "properties": {
        "hyperscaler_ceiling": {
          "type": [
            "string",
            "null"
          ]
        },
        "savings_pct": {
          "type": [
            "number",
            "null"
          ]
        },
        "same_model": {
          "type": [
            "boolean",
            "null"
          ]
        }
      }
    },
    "count": {
      "type": "integer"
    },
    "matches": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "gpu": {
            "type": "string"
          },
          "gpu_count": {
            "type": "integer"
          },
          "effective_usd_hr": {
            "type": "number"
          },
          "monthly_usd": {
            "type": "number"
          },
          "provider": {
            "type": "string"
          },
          "provider_label": {
            "type": [
              "string",
              "null"
            ]
          },
          "offer_type": {
            "type": "string"
          },
          "reliability": {
            "type": "string"
          },
          "fits_single_card": {
            "type": "boolean"
          },
          "over_budget": {
            "type": "boolean"
          },
          "tokens_per_sec": {
            "type": [
              "number",
              "null"
            ]
          },
          "usd_per_million_tokens": {
            "type": [
              "number",
              "null"
            ]
          },
          "score": {
            "type": [
              "number",
              "null"
            ]
          },
          "partner": {
            "type": "boolean"
          },
          "reason": {
            "type": "string"
          },
          "url": {
            "type": "string"
          }
        }
      }
    }
  },
  "required": [
    "count",
    "matches"
  ]
}

建議的提示詞

list_items
List all [items] available in FastGPU
預期的工具: list_gpu_prices
browse_collection
Show me the [collection] from FastGPU
預期的工具: list_gpu_prices

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已驗證未記錄版本2 個工具
已驗證未記錄版本2 個工具