ThinkBit Enables 8x Cheaper Reasoning with 2-bit Weights
October 25, 2026
ThinkBit is a scalar two-bit quantization framework that preserves reasoning capabilities by assigning bitwidths (2-bit or 3-bit) to layers based on sensitivity. It uses integer codewords and shared bfloat16 scales to minimize the memory bandwidth bottlenecks that limit reasoning LLM inference.
HOW THIS AFFECTS YOU
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builderYou can deploy high-performance reasoning models at significantly lower infrastructure costs.
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investorEfficient quantization like this shifts the economics of running large-scale reasoning models in production.