Accelerate AI and HPC With an Adaptive Converged Platform (Presented by QCT)
, Product Manager, QCT
Nowadays, an increasing number of users are using both artificial intelligence and high performance computing in an individual system to analyze vast amounts of data for insights, and to make advancements in scientific research.
We'll focus on an AI and HPC converged system, namely QCT Platform on Demand (QCT POD). QCT POD is a workload-driven infrastructure — it provides the best-fit hardware and software building blocks based on user workload. User-friendly system management and monitoring tools allow administrators to manage cluster efficiently. It also supports a comprehensive development environment, including web-based user workspace and automated resource management in bare-metal and cloud-native for both AI and HPC users. We'll finish by showcasing an AI use case, illustrating how users can log into QCT POD to execute AI workloads with a built-in development environment and tool kits.