Nvidia: Introduction to AI in the Data Center

In this module you will see AI use cases in different industries, the concepts of AI, Machine Learning (ML) and Deep Learning (DL), understand what a GPU is, the differences between a GPU and a CPU. You will learn about the software ecosystem that has allowed developers to make use of GPU computing for data science and considerations when deploying AI workloads on a data center on prem, in the cloud, on a hybrid model, or on a multi-cloud environment.

Learning Objectives

  • Learn about different hardware offerings in NVIDIA GPU Portfolio
  • Learn about NVIDIA Data Center Platfrom
  • Understand how NVIDIA is extending AI to every enterprise using virtualization with NVIDIA AI enterprise
  • Become Familiar with NVIDIA Software stack and CUDA-X AI software acceleration libraries
  • Learn about NVIDIA GPU Architecture
  • Understand Key differences between CPUs to GPUs
  • Learn about Machine Learning (ML) and Deep Learning (DL)
  • Learn about AI use cases such as: AI in Healthcare, Autonomous Vehicles, and AI in financial services
  • Learn terminology and concepts related to AI

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Kasper Riis Zülow