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 ...

Nvidia owns a 7% stake in CoreWeave, and made it possible for the young company to be the first to launch its latest GPUs. In ...

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

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 ...

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

Practical steps to controlling inferencing costs. In addressing the challenges faced by businesses today, it’s essential to take a proactive stance towards controlling inferencing expenses.

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 concerned.

At first, he says, people thought “that's going to be an overkill, we don't need networking for inferencing, we can just run that on individual boxes,” but, he says, “it turns out, inferencing needs a ...

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

Inferencing—using trained AI models to make real-time decisions—is best conducted close to the data source to minimize latency and enable faster responses.

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.