AIBullisharXiv – CS AI · 6h ago7/10
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Litespark Inference on Consumer CPUs: Custom SIMD Kernels for Ternary Neural Networks
Litespark-Inference introduces custom SIMD kernels that enable efficient large language model inference on standard consumer CPUs by exploiting ternary neural networks (weights constrained to -1, 0, +1), replacing floating-point multiplication with simple addition and subtraction. The solution achieves dramatic performance improvements—9.2x faster latency and 52x higher throughput on Apple Silicon—making AI workloads accessible to billions of underutilized personal computers.