Nvidia shrinks LLM memory 20x without changing model weights

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

Can Nvidia’s dominance survive the sea change under way in AI computing?

Making chips for training AI models made it the world’s biggest company, but demand for inference is growing far faster.
IEEE

A Learning Model Predictive Control Framework With Long Short-Term Memory for Energy Management in Fuel Cell Hybrid Electric Buses

Abstract: To leverage the complementary physical characteristics (e.g., dynamic response) of fuel cells (FCs) and supercapacitors (SCs), effective energy management strategies (EMSs) need to be ...

Village Green Redefines Memory Care for Assisted Living in Conroe, Texas

Village Green Memory Care releases comprehensive overview of residential dementia care services, protocols, and ...
Senior Housing News

New Training, Standards Helps Simpson Put Wellness at Center of Memory Care Program

With new training and standards and accreditation through a program prioritizing wellness for people living with cognitive changes, nonprofit senior ...