Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

The dynamic interplay between processor speed and memory access times has rendered cache performance a critical determinant of computing efficiency. As modern systems increasingly rely on hierarchical ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

Cache memory significantly reduces time and power consumption for memory access in systems-on-chip. Technologies like AMBA protocols facilitate cache coherence and efficient data management across CPU ...

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

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 ...

In the eighties, computer processors became faster and faster, while memory access times stagnated and hindered additional performance increases. Something had to be done to speed up memory access and ...

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 ...

Google’s announcement of TurboQuant is weighing on the share prices of memory companies, as the technology is expected to cut ...

Penguin Solutions MemoryAI KV cache server, an 11TB memory appliance, enables efficient deployment of enterprise-scale AI inferenceFREMONT, Calif.--(BUSINESS WIRE)--$PENG #AI--Penguin Solutions, Inc.