Google has unveiled a new memory-optimization algorithm for AI inferencing that researchers claim could reduce the amount of ...
Major memory chipmakers took a significant hit on Thursday after Google researchers introduced a groundbreaking compression ...
Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
Embedded systems demand high performance with minimal power consumption, and the optimisation of scratchpad memory (SPM) plays a critical role in meeting these stringent requirements. SPM, a small ...
Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...
Swedish firm ZeroPoint Technologies, a spin-off from Chalmers University of Technology in Gothenburg, was founded by Professor Per Stenström and Dr. Angelos Arelakis with the goal of delivering ...
This approach can be viewed as a memory plug-in for large models, providing a fresh perspective and direction for solving the ...
MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — without the hours of GPU training that prior methods required.
Learn why Linux often doesn't need extra optimization tools and how simple, built-in utilities can keep your system running ...
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