Supercharge Your AI: Build a 'Virtual Giant GPU' with llama.cpp!

infrastructure #gpu 📝 Blog|Analyzed: Feb 11, 2026 19:15•

Published: Feb 11, 2026 12:47

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1 min read

Analysis

This article details an exciting method to overcome VRAM limitations when running large language models. By using the RPC functionality of llama.cpp, users can combine the VRAM of multiple PCs to create a powerful, virtual GPU. This approach democratizes access to running resource-intensive models, opening up new possibilities for AI enthusiasts.

Key Takeaways

•llama.cpp's RPC allows combining multiple PCs' VRAM.
•The setup involves a 'leader' PC and multiple 'worker' PCs.
•A fast, wired network (Gigabit or 10GbE) is highly recommended for optimal performance.

Reference / Citation

View Original

"Using the RPC (Remote Procedure Call) function of llama.cpp, it is possible to combine the VRAM of multiple PCs across a network and treat them as a single, giant GPU."

Zenn LLMFeb 11, 2026 12:47

* Cited for critical analysis under Article 32.

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