Every ChatGPT query, every AI agent action, every generated video is based on inference. Training a model is a one-time ...

The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models efficiently, but also to provide robust developer workflows, lifecycle ...

But the same qualities that make those graphics processor chips, or GPUs, so effective at creating powerful AI systems from scratch make them less efficient at putting AI products to work. That’s ...

Edge AI is the physical nexus with the real world. It runs in real time, often on tight power and size budgets. Connectivity becomes increasingly important as we start to see more autonomous systems ...

A.I. chip, Maia 200, calling it “the most efficient inference system” the company has ever built. The Satya Nadella -led tech ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

AI inference demand is at an inflection point, positioning Advanced Micro Devices, Inc. for significant data center and AI revenue growth in coming years. AMD’s MI300-series GPUs, ecosystem advances, ...

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of ...