Over the last year, AMD's share price declined by -53.4% compared to a return of +22.3% for Nvidia's stock. When looking exclusively at market performance, one would think that AMD is significantly ...

Until recently, most AI was in data centers/cloud and most of that was training. Things are changing quickly. Projections are AI sales will grow rapidly to tens of billions of dollars by the mid 2020s ...

The vast proliferation and adoption of AI over the past decade has started to drive a shift in AI compute demand from training to inference. There is an increased push to put to use the large number ...

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 ...

The vast amount of IoT devices and equipment collecting data on-premises and in the cloud presents a challenge for manufacturers looking to generate insights. The reason? Manufacturers must first ...

An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...

It’s important to understand that an inference accelerator is a completely new kind of chip, with many unknowns for the broader market. In our industry, there’s a learning curve for everything, from ...