Very few organizations have enough iron to train a large language model in a reasonably short amount of time, and that is why ...

If high bandwidth memory was widely available and we had cheap and reliable fusion power, there never would have been a move ...

Just about everybody, including Nvidia, thinks that in the long run, most people running most AI training and inference ...

Three years ago, thanks in part to competitive pressures as Microsoft Azure, Google Cloud, and others started giving Amazon ...

Today’s pace of business requires companies to find faster ways to serve customers, gather actionable insights, increase ...

A theme snaking its way through conversations these days about generative AI is the need for open source models, open platforms, and industry standards as ...

The energy sector is undergoing a monumental shift as the power grid struggles to accommodate growing demand and the ...

When it comes to solving data analytics problems at scale, it is tough to beat the hyperscalers. And that is why a ...

A few years ago, it was hard to imagine how AMD would have survived without re-entering the datacenter with its CPU and GPU ...

With new generations of GPUs and other kinds of AI accelerators either shipping or soon to start shipping and new CPUs also soon to be available from ...

It is not a coincidence that the companies that got the most “Hopper” H100 allocations from Nvidia in 2023 were also the ...

The Internet of Things (IoT) has shown significant growth and promise, with data generated by IoT devices alone expected to ...