llama.cpp to fix multi-GPU crash

·2026.05.26 01:25

Key point

A patch is being prepared in llama.cpp to fix VRAM exhaustion and crash issues in Split Mode Tensor when using multiple GPUs.

Details

A patch is in progress to fix a system crash issue that occurs when using Split Mode Tensor (SM Tensor) in multi-GPU environments in llama.cpp.

The existing SM Tensor mode provides about 35% higher token generation speed (TPS) compared to the regular layer splitting method, but it had a defect causing crashes due to VRAM exhaustion roughly every 90 to 120 minutes.

This defect is set to be fixed through this GitHub Pull Request (#22616), which is expected to significantly improve the stability of multi-GPU inference.

open-source llama.cpp inference-optimization multi-gpu

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