Tether Brings AI Memory Compression To Consumer Devices

Tether’s TurboQuant enables useful and powerful local AI applications on consumer devices at much lower costs and without ...
Hosted on MSN

Google says TurboQuant cuts LLM KV-cache memory use 6x, boosts speed

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 ...

XCENA raises $135M for its computational memory controller

XCENA Inc., a startup with a memory device designed to speed up artificial intelligence clusters, today announced that it has raised $135 million in funding. The Series B round was led by Korean funds ...
Electronic Design

Adding Cache to IPs and SoCs

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 ...