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Podcast: HPC & AI Convergence Enables AI Workload Innovation

In this Conversations in the Cloud podcast, Esther Baldwin from Intel describes how the convergence of HPC and AI is driving innovation. “On the topic of HPC & AI converged clusters, there’s a perception that if you want to do AI, you must stand up a separate cluster, which Esther notes is not true. Existing HPC customers can do AI on their existing infrastructure with solutions like HPC & AI converged clusters.”

The Convergence of HPC and AI

In this special guest feature, Bill Wagner from Bright Computing writes that the convergence of HPC & AI presents new challenges for containers, job scheduling, and system management. “But here’s the rub … traditional HPC applications run under the jurisdiction of an HPC workload manager like Slurm or PBS Pro, whereas machine learning applications are primarily run in containers under the jurisdiction of a container orchestration system, such as Kubernetes.”