For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity ...

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 ...

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 ...

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

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 ...

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 ...

No GPU fleet runs at full capacity around the clock. InferenceSense™ automatically fills idle cycles with paid AI inference workloads—and shares the revenue with you. SAN FRANCISCO--(BUSINESS ...