Combining VRAM Across Two PCs for Local LLM Inference: Explained
Guyserbun007 · reddit · 2026-08-08
A user asks if it's possible to combine the VRAM of two separate computers (each with 12GB) to run a model requiring 17GB.
The answer is yes. For local deployment, you can use distributed inference frameworks to pool VRAM across devices. Tools like vLLM, Ray, or DeepSpeed allow you to split model layers across different machines (Pipeline Parallelism). However, because network bandwidth (even over LAN) is much slower than internal PCIe/NVLink, this setup will significantly bottleneck inference speed, resulting in slower token generation.
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