Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks

As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...
Hosted on MSN

New memory structure helps AI models think longer and faster without using more power

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...
Hosted on MSN

Shrinking AI memory boosts accuracy, study finds

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy. Subscribe to our newsletter for ...
Ars Technica

Virtual memory VS physical memory

I have a question and I hope someone can help. When I have VM machine requirements, how can I determine the physical requirements? for example when I have to build a server that will run 4 VM's ...
TechCrunch

ZeroPoint’s nanosecond-scale memory compression could tame power-hungry AI infrastructure

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 ...
Gizmochina

Snapdragon 8 Gen 4 utilizes a new GPU architecture with improved cache and memory compression tech, claims tipster

Qualcomm‘s next flagship mobile processor, the Snapdragon 8 Gen 4, is expected to launch later this year, and rumors regarding its features are picking up steam. A new leak by Weibo tipster Digital ...