Train-in-Silence

About Train-in-Silence

The first Task-Aware MCP server and automated VRAM calculator for LLM fine-tuning. Instantly snipe the cheapest, fastest GPUs across 10+ cloud providers.

claude-code cost-optimization fine-tuning gpu-pricing llm mcp mcp-server python vram-calculator

Quick Facts

Stars	39
Forks	0
Language	Python
Category	MCP Server
License	MIT
Quality Score	39.15/100
Last Updated	2026-05-08
Created	2026-04-12
Platforms	claude-code, mcp, python
Est. Tokens	~13k

Compatible Skills

These tools work well together with Train-in-Silence for enhanced workflows:

unsloth-buddy — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
DGX-Spark-Asus-Ascent-Nvidia-GB10-SFT-Finetuner — semantic(0.57)+complementary+same_lang+similar_pop+shared_platform (65%)
multimind-sdk — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
Dataset_Generator_for_Fine-tuning — semantic(0.35)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)

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Frequently Asked Questions

What is Train-in-Silence?

Train-in-Silence is The first Task-Aware MCP server and automated VRAM calculator for LLM fine-tuning. Instantly snipe the cheapest, fastest GPUs across 10+ cloud providers.. It is categorized as a MCP Server with 39 GitHub stars.

What programming language is Train-in-Silence written in?

Train-in-Silence is primarily written in Python. It covers topics such as claude-code, cost-optimization, fine-tuning.

How do I install or use Train-in-Silence?

You can find installation instructions and usage details in the Train-in-Silence GitHub repository at github.com/hlpun/Train-in-Silence. The project has 39 stars and 0 forks, indicating an active community.

What license does Train-in-Silence use?

Train-in-Silence is released under the MIT license, making it free to use and modify according to the license terms.

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