A user has successfully optimized the Betelgeuse inference engine to run the large DeepSeek V4.1 Flash model on consumer-grade hardware, specifically an RTX 3060 with 12GB VRAM and 16GB RAM. This was achieved by addressing the prefill bottleneck, which typically plagues out-of-core Mixture-of-Experts (MoE) models, by implementing location-invariant cache partitioning, single-pass layer-major prefill, and end-of-pass VRAM consolidation. These optimizations dramatically increased prompt processing speed from a few tokens per second to over 60 tokens per second, making the model usable on the specified hardware. AI
IMPACT Demonstrates significant performance gains for large MoE models on lower-end hardware, potentially broadening accessibility.
RANK_REASON User-level optimization of an existing model on consumer hardware.
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