What you'll learn
What is AI and AI use cases, Machine Learning, Deep Leaning, and how training and inference happen in a Deep Learning Workflow.
The history and architecture of GPUs, how they differ from CPUs, and how they are revolutionizing AI.
Become familiar with deep learning frameworks, AI software stack, and considerations when deploying AI workloads on a data center on prem or cloud.
Requirements for multi-system AI clusters and considerations for infrustructure planning, including servers, networking, storage and tools.
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