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.

Alluxio's distributed data platform eliminates data bottlenecks with sub-millisecond data access and terabyte-per-second ...

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 ...

Neocloud and AI Factory operators can now turn bare-metal GPU infrastructure into a fully managed, white-label AI platform with per-token billing and production inference. NEW YOR ...

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 ...

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.