
Ultra-Fast Ternary LLM Inference on CPUs with Litespark
How ternary weights, SIMD dot-product kernels, and Litespark-Inference make billion-parameter language models practical on Apple Silicon, Intel and AMD.
Explore the latest research and breakthroughs in LLM pre-training, energy-efficient AI, and scalable generative models from the Mindbeam research team.

How ternary weights, SIMD dot-product kernels, and Litespark-Inference make billion-parameter language models practical on Apple Silicon, Intel and AMD.
Unlock higher throughput, lower energy use, and seamless integration with your existing stack.
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