Intel is seeking an AI Frameworks Engineer to develop PyTorch, TensorFlow, and JAX for enterprise-level AI production in a variety of environments due to the te ...

K machine promises performance that can scale to 32 chip servers and beyond but immature stack makes harnessing compute ...

Odds are the PC in your office today isn’t ready to run AI large language models (LLMs). Today, most users interact with LLMs ...

Local AI models offer privacy and zero subscription costs, letting you run powerful models completely offline. Here's how to start.

In an attempt to keep pace with Nvidia's DGX AI workstation desktops that can connect to take on processing bigger AI models, ...

Nvidia VP Rev Lebaredian said Schneider Electric is “essential” as the GPU powerhouse continues to push the AI technology ...

Google’s TPU chips are catching up in AI workloads, but software is what keeps Nvidia on top—at least for now.

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...

Can Pi’s 50 million-strong community become a global “crowd computer” for AI, shifting workloads from cloud data centers to ...

Short for Video Random-Access Memory, VRAM is not exclusive to Nvidia, but it is essential to the chipmaker's market-leading ...