In this contributed article, Stuart Tarmy and Aarthi Sivasankaran of ROKITT, discuss how understanding your landscape’s data lineage and data relationships are the vital keys to getting a grip on what’s really happening with your data.
With today’s growing adoption in the AI data center of liquid cooling – essential for controlling AI cooling costs and energy usage – minimizing risk includes the use of high-quality connectors. Liquid cooling connectors are crucial ….
In this insideHPC Guide, our friends over at WEKA suggest that when organizations decide to move existing applications or new applications to a GPU-influenced system there are many items to consider, such as assessing the new environment’s required components, implementing a pilot program to learn about the system’s future performance, and considering eventual scaling to production levels.
