Enterprises locked in GPU capacity during the AI scramble. Now utilization sits at 5% and the bill is due. Here's what the data says about where the market is heading.

Kubernetes clusters are running far below capacity, and the gap is widening, according to Cast AI’s "2026 State of Kubernetes Optimization Report." The vendor analyzed tens-of-thousands of clusters ...

About Alluxio Alluxio is the leading large-scale caching solution for AI that enables organizations to bring data closer to compute for AI, analytics, and cloud workloads through a distributed caching ...

The new release of the Alluxio Enterprise AI data orchestration platform makes it easier to use GPU-based systems for training and operating AI applications and to provision AI/ML systems with data at ...

Rapt AI, a provider of AI-powered AI-workload automation for GPUs and AI accelerators, has teamed with AMD to enhance AI infrastructure. The long-term strategic collaboration aims to improve AI ...

As artificial intelligence reshapes industries, GPU infrastructure providers face a pivotal moment. While providing raw computing power has been profitable, the increasing competition and fluctuating ...

The processor of current PCs is usually powerful enough to work smoothly with all types of content. However, some processes put a higher load on the processor — for example, when you watch videos.

The cost of training today’s large-scale foundation models is often reduced to a single number: the price of a GPU hour. It's a convenient metric. It is also the wrong one. When training runs can cost ...

Everyone said this GPU setting would improve performance, but that wasn't necessarily true.

PC gamers with an interest in the inner workings of their machine have historically had to rely on a mish-mash of third-party tools to keep track of CPU, memory, and GPU usage. Commonly used tools ...