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llama : add a GPU cache for MoE experts kept in host memory by am17an · Pull Request #29887 · ggml-org/llama.cpp

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Briefings

A GitHub pull request by jacek2023 proposes adding GPU cache for MoE experts stored in host memory to improve speedups for models that do not fully fit in VRAM. The proposal was submitted to r/LocalLLaMA and merged into the ggml-org/llama.cpp repository on October 7, 2026.

Key points

• The proposed feature adds GPU cache for MoE experts kept in host memory to speed up inference for models that do not fully fit in VRAM.
• The feature was submitted by user jacek2023 to the r/LocalLLaMA subreddit and merged into the ggml-org/llama.cpp repository.

Context

This is a technical proposal for optimizing Large Language Model (LLM) inference speed, specifically targeting models with mixed-precision MoE (Mixture of Experts) architectures where expert weights reside in host memory rather than GPU VRAM.

Limitations

The evidence is a single GitHub pull request with no experimental data, performance benchmarks, or user feedback. The claim of 'big speedup' is unverified and lacks quantitative metrics or validation.

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