AI BriefingUnderdog Releases 'Husky', a Model-Specific Inference Engine Up to 4.5x Faster than MLX
Key point
Underdog has released 'Husky', a model-specific inference engine that is faster than MLX across all measured metrics, achieving up to 4.5x performance gains particularly in editing tasks.
Details
Sigil Wen of Underdog released 'Husky', a dedicated inference engine for their Pareto-frontier model 'Woof'. Husky recorded faster performance than Apple MLX across all 16 prompt types, becoming up to 4.5x faster especially in editing tasks. This was achieved through GPU kernel optimizations tailored to the model's fixed matrix sizes, direct memory mapping of 4-bit weights stored on disk, and GPU kernel pipeline processing that eliminates host latency. Additionally, the 'Flash Draft' feature verifies 8 tokens in a single step, making it efficient for duplicating content already present in the prompt. Husky is currently available without configuration in the Underdog app on Mac, and CUDA support for NVIDIA GPUs is under development.
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