Chipmakers Nvidia and Groq entered into a non-exclusive tech licensing agreement last week aimed at speeding up and lowering ...

As the sector transitions from the “build” stage to the “deploy” stage, Nvidia is starting to mitigate its risks against the ...

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 ...

Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over ...

Artificial intelligence has many uses in daily life. From personalized shopping suggestions to voice assistants and real-time fraud detection, AI is working behind the scenes to make experiences ...

Nvidia has licensed Groq’s AI inference-chip technology in a reported $20B deal, signaling a strategic shift as AI moves from ...

There’s a lot of hyperbole around artificial intelligence these days. However, there are a lot of good intentions as well, and many are looking to build AI that doesn’t involve haves and have-nots.

Processor hardware for machine learning is in their early stages but it already taking different paths. And that mainly has to do with dichotomy between training and inference. Not only do these two ...

Intel's 2026 turnaround relies on AI trends, foundry growth, and competitive products. Learn what's at stake and what this ...

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, ...