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Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...
Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...
Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...
•The execution time for the default case of Least Recently Used(LRU) replacement technique was calculated by running the program using SimpleScalar •Modifications made to the cache.c and cache.h to ...
Necessity is the mother of invention, and advances in chip packaging are catching up to those in transistor design when it comes to working in three dimensions instead of the much more limited two.