Getting peak utilization out of GPU farms in the age of AI will be the unending quest. From being able to partition a GPU into small fractions to scaling across many GPU-dense nodes, Nvidia has ...

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 ...

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 ...

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 ...

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 ...

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.

A team of researchers from Shanghai Jiao Tong University and Huawei has proposed a new way to share GPUs more efficiently across jobs in campus data centers, reducing idle GPU time and job wait times.

Nvidia announced that it’s acquiring Run:ai, an Israeli startup that built a Kubernetes-based GPU orchestrator. While the price is not disclosed, there are reports that it is valued anywhere between ...