GigaIO, a leading provider of scalable infrastructure specifically designed for AI inferencing, today announced it has raised ...

Andrew Feldman, CEO & Founder of Cerebras, breaks down his expectations for agentic AI and their future IPO plans ...

The company is benefiting from high demand for computing power to support AI training and inferencing. Over the past couple ...

The AI giant continues to innovate, too, promising to update its chips on an annual basis. Nvidia has proven it can follow ...

In this interview, Kikozashvili looks at DriveNets’ AI Ethernet solution that is used as a back-end network fabric for large GPU clusters and storage networking solution and how it supports the ...

Intel's Computex 2025 event showcased Gaudi 3 AI accelerator and new ARC graphics cards, positioning it to gain share in AI ...

Groq, which is backed by investment arms of Samsung and Cisco, said the data center will be in Helsinki, Finland.

We won’t make progress with AI if we don’t know how to predict costs accurately. Enterprises are running in circles.

The broad-brush strokes on how to build a great AI training cluster are pretty settled: Get as many GPUs together as you can, densely pack them with fast networking, and pump in as much data as ...

AMD’s hardware teams have tried to redefine AI inferencing with powerful chips like the Ryzen AI Max and Threadripper. But in software, the company has been largely absent where PCs are ...

The shift from AI training to inferencing, especially for reasoning models, is an opportunity to drive greater GPU demand, the company recently said. Bears have worried about this transition.

Why use expensive AI inferencing services in the cloud when you can use a small language model in your web browser?