{"repo":"hlpun/Train-in-Silence","free":true,"listed":false,"github":"https://github.com/hlpun/Train-in-Silence","clone":"git clone https://github.com/hlpun/Train-in-Silence.git","description":"The first Task-Aware MCP server and automated VRAM calculator for LLM fine-tuning. Instantly snipe the cheapest, fastest GPUs across 10+ cloud providers.","language":"Python","stars":101,"topics":["claude-code","cost-optimization","fine-tuning","gpu-pricing","llm","mcp","mcp-server","python","vram-calculator"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Train in Silence The first Task-Aware MCP server for LLM fine-tuning. Stop comparing GPU prices. Start training. 中文 --- You want to fine-tune an LLM. You open Vast.ai, RunPod, AWS, etc. -- a dozen tabs, a dozen pricing models, a dozen different ways to describe a GPU. Which option can run your code, and do so more cheaply and quickly? An hour later you're still in a spreadsheet and haven't written a single line of training code. Train in Silence is the first Task-Aware MCP server for LLM fine-tuning. It doesn't just list prices; it understands your workload. Describe your training job once, and it calculates the required VRAM/FLOPs to return the cheapest, fastest, and most balanced hardware options across a dozen cloud providers -- in seconds. Quickstart Option A: Ask Claude Code (recommended) Install the library and register it as a tool in Claude Code: Then just ask in natural language: Claude Code calls TIS behind the scenes and returns a structured recommendation -- no YAML, no config files, no manual comparison. Option B: CLI Note : Output above is illustrative. Actual results depend on live market data. Use It Your Way Channel Command Docs --------- --------- ------ CLI tis recommend request.yaml CLI Guide REST API uvicorn tis.api.server:app API Reference Claude Code claude mcp add tis --scope user --tis-mcp MCP Guide Claude Desktop Add tis-mcp to claude desktop config.json MCP Guide Market Providers TIS aggregates live pricing across a dozen GPU clouds. API keys are op","default_branch":null,"files":null,"tree":[],"storefront":"/r/hlpun","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hlpun/Train-in-Silence/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}