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.

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 ...

Alluxio Inc., which sells a high-performance open-source distributed filesystem, announced a set of enhancements that optimize the use of costly graphic processing units along with performance ...

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 ...

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 ...

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 ...

Privacy-preserving AI workloads can make expensive GPUs look underused. CIOs should understand the bottleneck before accepting automated rightsizing recommendations ...

GPU monitoring differs significantly from the monitoring of general CPU and memory resources, and requires a different approach. Here’s how Kubecost meets the challenge. Many enterprise engineering ...

DeepSeek has captured the attention of the AI industry with its extraordinary 500% profit margin, a feat that has set it apart as a leader in efficiency and innovation. This achievement stems from a ...