Companies are hoarding expensive AI GPUs and leaving most sitting idle ...

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 ...

Cast AI finds that that 95% of GPU capacity across thousands of organizations are idle, as companies overbuy GPUs on FOMO.

Stop overpaying for idle GPUs by splitting your LLM workload into prompt and generation pools. It’s like giving your AI its ...

A new report shows enterprise Kubernetes clusters are running far below capacity, with GPU utilization averaging just 5% despite soaring AI infrastructure spending. CoreWeave and other providers are ...

Datadog, Inc., (NASDAQ: DDOG), the leading AI-powered observability and security platform, today announced that GPU Monitoring is available to customers everywhere. The new product addresses one of ...

Kubernetes clusters are running far below capacity, and the gap is widening, according to Cast AI’s 2026 State of Kubernetes ...

Enterprise AI demand is rising, but most GPU capacity remains idle, exposing costly overbuying and inefficiencies.

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 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 ...