The AI industry is undergoing a transformation of sorts right now: one that could define the stock market winners – and losers – for the rest of the year and beyond. That is, the AI model-making ...

As the AI infrastructure market evolves, we’ve been hearing a lot more about AI inference—the last step in the AI technology infrastructure chain to deliver fine-tuned answers to the prompts given to ...

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 ...

Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). A quick explainer: In AI inferencing, organizations take a LLM that is pretrained to recognize ...

In the evolving world of AI, inferencing is the new hotness. Here’s what IT leaders need to know about it (and how it may impact their business). Stock image of a young woman, wearing glasses, ...

Unlike AI training, which is concentrated in data centres, inferencing is expected to take place closer to users on edge devices. (Image/Freepik) The race for dominance in AI computing is intensifying ...

This non-acquisition could help Nvidia diversify its supply chains and address new markets, while limiting antitrust scrutiny ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

Machine learning (ML)-based approaches to system development employ a fundamentally different style of programming than historically used in computer science. This approach uses example data to train ...

A single structure built in the metal layers of an IC can implement both machine learning and analogue AI inferencing, according to a French team led by Grenoble lab CEA-Leti – and the CMOS below can ...