The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...

A trained AI model and the inference engine work together; thus, the proper comparison is AI training vs. inference. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction requires ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We are still only at the beginning of this AI rollout, where the training of models is still ...

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten ...

The race to build bigger AI models is giving way to a more urgent contest over where and how those models actually run. Nvidia's multibillion dollar move on Groq has crystallized a shift that has been ...