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Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Pipeline parallelism in llama.cpp may be wasting your VRAM

    A user discovered that the default pipeline parallelism in llama.cpp may be wasting VRAM without providing any speed benefits. By compiling llama.cpp with the flag -DGGML_SCHED_MAX_COPIES=1, users can avoid this unnecessary VRAM allocation. This optimization is particularly relevant when all model layers are offloaded to the GPU. AI

    IMPACT Users can reclaim VRAM by disabling default pipeline parallelism in llama.cpp, potentially allowing for larger models or contexts.