NVIDIA AI Enterprise Administration
Interactive self-paced learning via the NVIDIA Online Academy
$100 single course I $250 as part of Platinum membership
Course Duration 9.5 Hours
NVIDIA AI Enterprise is a comprehensive software suite developed by NVIDIA that enables organizations to deploy and manage AI workloads efficiently. It combines advanced AI software tools, optimized drivers, and libraries with NVIDIA GPUs to deliver high-performance computing for AI applications. NVIDIA AI Enterprise simplifies the deployment and scaling of AI infrastructure, and provides robust management capabilities, making it a powerful solution for organizations seeking to leverage the full potential of AI technology. Taking the NVIDIA AI Enterprise Administration course provides you with a competitive edge by equipping you with in-demand skills and knowledge required to effectively administer an AI infrastructure in enterprise settings. This course will empower you to navigate the complexities of AI deployments and drive successful outcomes in your organization. If you are new to NVIDIA AI Enterprise and want to learn how to get started with deployment, basic administration, and validation tasks, this course is for you.
In this course you will learn how to deploy and administer the NVIDIA AI Enterprise Solution in a VMware vSphere environment with Docker containers.
• Solution Overview: Options for building an AI platform, NVIDIA AI Enterprise stack, NVIDIA AI Enterprise Support, Getting started with NVIDIA AI Enterprise.
• Hardware Options: NVIDIA AI Enterprise Hardware Solutions, DGX System types, NVIDIA networking platforms overview (Spectrum, DPU, Quantum).
• Software Options: NVIDIA AI Enterprise software suite overview, AI workflows, frameworks, and pretrained models, AI & data science development and deployment tools, Infrastructure optimization layer, Cloud management native and orchestration layer.
• Deployment Options: VMWare vSphere, Tanzu, Bare Metal, CPU only, OpenShift, Public cloud, Upstream Kubernetes, High-level deployment workflow.
• Deployment on VMware vSphere with Docker Containers.
• Accessing & Installing AI Software.
• AI Workflows.
• Management and Maintenance of NVIDIA AI Enterprise on VMware.
• Categorize the components that make up NVIDIA AI Enterprise stack
• Summarize use cases
• Contrast deployment options
• Demonstrate deployment on VMware vSphere
• Interpret licensing
• Make use of solution validation techniques
• Utilize monitoring capabilities across the stack
• Develop management capabilities
• Make use of vGPU partitioning options
• Translate AI stack software to uses cases
• Solve common problems with troubleshooting
IT professionals, including system administrators and DevOps, who are expected to successfully deploy and administer the NVIDIA AI Enterprise solution.
To gain the most value from this course, the target audience should have a working knowledge in the following domains:
• Data Center Infrastructure: Servers, Storage, Networking, GPUs, Operating Systems.
• Virtualization: VMware vSphere.
• Containerization: Docker.
