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 ...

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...

MemryX Inc., a company delivering production AI inference acceleration, today announced its strategic roadmap for the MX4.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Without inference, an artificial intelligence (AI) model is just math and ...

Inference is rapidly emerging as the next major frontier in artificial intelligence (AI). Historically, the AI development and deployment focus has been overwhelmingly on training with approximately ...

Machine learning inference models have been running on X86 server processors from the very beginning of the latest – and by far the most successful – AI revolution, and the techies that know both ...

Forbes contributors publish independent expert analyses and insights. I had an opportunity to talk with the founders of a company called PiLogic recently about their approach to solving certain ...

In this distributed environment, connectivity becomes foundational—a layer of invisible fabric that ties everything together. And just as important is the software stack: Development needs to scale ...

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, ...