Kimi K2.5: Running a 1 Trillion Parameter LLM on a Single GPU!

infrastructure #llm 📝 Blog|Analyzed: Feb 11, 2026 06:00•

Published: Feb 11, 2026 05:46

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1 min read

Analysis

This article dives into the exciting world of running massive Large Language Models (LLMs) on consumer hardware! It provides a practical guide, detailing the challenges and solutions for getting the Kimi K2.5 model, with its staggering 1 trillion parameters, up and running on a single GPU. It promises a hands-on journey, packed with insights for anyone keen on experimenting with cutting-edge AI.

Key Takeaways

•Learn how to run a 1 trillion parameter LLM on a single GPU using llama.cpp.
•Discover the MoE (Mixture of Experts) architecture and why it enables such large models.
•Get a step-by-step guide to setting up the environment on Windows with CUDA.

Reference / Citation

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"This article shares the three walls encountered in the process and what was learned from them. It's written candidly, including the failures, so that if even one person avoids the same pitfalls, I will be happy."

Qiita LLMFeb 11, 2026 05:46

* Cited for critical analysis under Article 32.

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