FastGPU
Compare live GPU cloud rental prices and match workloads to the cheapest provider.
¿Debería usar esto?
Calidad y seguridad
A
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
~1,074Tokens (definiciones de herramientas)
~5.2 KBTamaño de respuesta típico
Impacto moderado en la atención (0.84% del contexto de 128k)
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"fastgpu": {
"url": "https://fastgpu.co/api/mcp"
}
}
}Puntos de conexión remotos
https://fastgpu.co/api/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (2)
🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢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.
Esquema de entrada
{
"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"
]
}
}
}Esquema de salida
{
"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).
Esquema de entrada
{
"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"
]
}
}
}Esquema de salida
{
"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"
]
}Prompts recomendados
list_items
List all [items] available in FastGPU
Herramientas esperadas:
list_gpu_pricesbrowse_collection
Show me the [collection] from FastGPU
Herramientas esperadas:
list_gpu_pricesComunidad
Evidencia
Observaciones recientes
verificadoversión no registrada2 herramientas
verificadoversión no registrada2 herramientas