A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

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

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

AI is only the latest and hungriest market for high-performance computing, and system architects are working around the clock to wring every drop of performance out of every watt. Swedish startup ...

Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled ...

Sponsored Feature: Computers are taking over our daily tasks. For big tech, this means an increase in IT workloads and an expansion of advanced use cases in areas like artificial intelligence and ...

For some computing components, the bottleneck to improved speed and performance hasn’t been power consumption or clock speed but physical space. But a new memory standard may provide all of the power ...

Windows 11 has a habit of doing things quietly in the background and then getting blamed for them later. Memory compression is one of those features. It sounds like a gimmick and immediately gets ...