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.
Verdict on MSN

Nvidia launches Dynamo 1.0 AI inference operating system

Dynamo 1.0 manages AI inference workloads across data centres, offering integration with major cloud and open source platforms.
The Manila Times

NVIDIA Enters Production With Dynamo, the Broadly Adopted Inference Operating System for AI Factories

NVIDIA Dynamo 1.0, the latest release of NVIDIA Dynamo software, provides a production-grade, open source foundation for ...
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 ...
Electronics For You

COM Modules For Real Time Edge Systems

What happens when edge computing runs entirely on performance cores? A modular platform hints at deterministic processing for ...