llama.cpp v0.7.0 Adds a GPU Cache for CPU-Offloaded MoE Experts

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Source post: https://blogs.a2techify.com/ai/engineering/2026/10/21/llama-cpp-moe-gpu-cache.html LinkedIn URL: TODO after publishing

Newsletter Title

llama.cpp v0.7.0 Adds a GPU Cache for CPU-Offloaded MoE Experts

Intro

llama.cpp v0.7.0 can cache frequently used MoE experts on the GPU while keeping the full expert set in system memory.

Takeaways

• The v0.7.0 release introduces a GPU cache specifically for MoE experts that remain in host memory. It works with llama.cpp’s existing CPU-offload controls:
• Sparse MoE models reduce the compute used for each token by activating only a subset of their experts.
• The first useful community data will be cache-size curves across different MoE families and hardware links, not isolated peak numbers.

CTA

Read the full note: https://blogs.a2techify.com/ai/engineering/2026/10/21/llama-cpp-moe-gpu-cache.html

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Topics: local-ai, quantization, gpu-management