The aerospace/defense industry often must solve mission-critical problems as they arise while also planning and designing for the rigors of future workloads. Technology advancements let aerospace/defense agencies gain the benefits of AI, but it’s essential to understand these advancements and the infrastructure requirements for AI training and inference.
Improving AI Inference Performance with GPU Acceleration in Aerospace and Defense
Intelligent Fabrics for the Next Wave of AI Innovation
In this sponsored post, our friend John Spiers, Chief Strategy Officer at Liqid, discusses how resource utilization and the soaring costs surrounding it are a constant push and pull issue for IT Departments. Now with the emergence of AI and machine learning, resource utilization is far more front and center than it has ever been. Managing legacy hardware in a hyperconverged environment just as you always have is not going to cut it, because the people and hardware costs associated with these extremely heavy workloads are tremendous. Intelligent fabrics and composable infrastructure software deliver a solution to the problem that allows IT providers the ability to pool and deploy their hardware resources to adapt to the workload at hand, then re-deploy as required for a balanced system that can address the demands of AI and machine learning.