NVIDIA
Introduction to AI in the Data Center
NVIDIA

Introduction to AI in the Data Center

Taught in English

Some content may not be translated

10,757 already enrolled

Course

Gain insight into a topic and learn the fundamentals

NVIDIA Training

Instructor: NVIDIA Training

4.6

(69 reviews)

Beginner level
No prior experience required
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

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.

Details to know

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Assessments

13 quizzes

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There are 4 modules in this course

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.

What's included

6 videos5 quizzes

In this module we will cover rack level considerations when deploying AI clusters. You will learn about requirements for multi-system AI clusters, storage and networking considerations for such deployments, and an overview of NVIDIA reference architectures, which provide best practices to design systems for AI workloads.

What's included

4 videos3 quizzes

This unit covers  data center level considerations  when deploying AI clusters, such as infrastructure provisioning and workload management, orchestration and job scheduling, tools for cluster management and monitoring, and power and cooling considerations for data center deployments.  Lastly, you will learn about AI infrastructure offered by NVIDIA partners through the DGX-ready data center colocation program.

What's included

5 videos4 quizzes

It is highly recommended that you complete all the course activities before you begin the quiz. Good luck!

What's included

1 reading1 quiz

Instructor

Instructor ratings
4.5 (13 ratings)
NVIDIA Training
NVIDIA
3 Courses16,722 learners

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NVIDIA

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4.6

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