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505 IndexCache, a new sparse attention optimizer, delivers 1.82x faster inference on long-context AI models

VentureBeat
VentureBeat 2 place · 03/27/2026 15:00 EDT

Processing 200,000 tokens through a large language model is expensive and slow: the longer the context, the faster the costs spiral. Researchers at Tsinghua University and Z.ai have built a technique called IndexCache that cuts up to 75% of the redundant computation in sparse attention models, delivering up to 1.82x faster time-to-first-token and 1.48x faster generation throughput at that context length.The technique applies to models using the DeepSeek Sparse Attention architecture, including the latest De

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