Autonomous vehicle (AV) technology is rapidly evolving, fueled by ever-larger and more complex AI models deployed at the edge. Modern vehicles now require not... Autonomous...
More like this
How to Run AI-Powered CAE Simulations
In modern engineering, the pace of innovation is closely linked to the ability to perform accelerated simulations. Computer-aided engineering (CAE) plays a... In modern engineering,...
More like this
North–South Networks: The Key to Faster Enterprise AI Workloads
In AI infrastructure, data fuels the compute engine. With evolving agentic AI systems, where multiple models and services interact, fetch external context, and... In AI...
More like this
Cut Model Deployment Costs While Keeping Performance With GPU Memory Swap
Deploying large language models (LLMs) at scale presents a dual challenge: ensuring fast responsiveness during high demand, while managing the costs of GPUs.... Deploying large...
More like this
Improving GEMM Kernel Auto-Tuning Efficiency on NVIDIA GPUs with Heuristics and CUTLASS 4.2
Selecting the best possible General Matrix Multiplication (GEMM) kernel for a specific problem and hardware is a significant challenge. The performance of a... Selecting the...
