Opportunities

NVIDIA® DOCA™ unlocks the potential of the NVIDIA BlueField® data processing unit (DPU) to offload, accelerate and isolate workloads in data centers. With DOCA, developers can program the data center infrastructure of the future by creating software-defined, cloud-based, DPU-accelerated services with zero-trust protection to meet the growing performance and security demands of today’s data centers.

At the core of this innovation is DOCA Flow, an API paramount to building agile execution pipelines in hardware. The library provides developers with a powerful toolkit for building sets of pipes, each characterized by compliance criteria, monitoring capabilities, and a set of actions. These pipes can be interconnected, allowing packages to seamlessly transition from one pipe to another after executing pipe-defined actions.

Enroll in this course to embark on a journey of DOCA Flow programming personified by developing an “ARP Storm Control” application. This application prevents network outages resulting from broadcast storms by skillfully forming a DOCA Flow pipeline that quells malicious broadcast network activity while preserving the integrity of well-managed traffic.

Key Learning Objectives:

• Understand the key role that DOCA Flow occupies in the broader DOCA and DPU landscape.
• Create an offloaded virtual network function (VNF) application.
• Acquire the skills to accelerate network applications through the DPU’s embedded switch.

Prerequisites:

• Basic understanding of networking fundamentals to optimize your participation in the course.

Introducing the NVIDIA License System (NLS), a new licensing solution designed to support the expansion of NVIDIA’s range of enterprise software. Designed to outperform NVIDIA’s existing software license server for virtual GPUs (vGPUs), NLS features advanced functionality and offers a number of licensing service use cases – Cloud License Service (CLS) and Delegated License Service (DLS).

During this course, attendees will enter the realm of NLS and gain a comprehensive understanding of the transition from their current licensing system to NLS. The course covers the following key aspects:

1. How to install, configure and use a Cloud License Service (CLS) and Delegated License Service (DLS) instances.
2. Migrate your existing NVIDIA Virtual GPU (vGPU) Software License Server to NVIDIA License System (NLS).

The course topics are:

• Introduction to the NVIDIA License Service
• Installation and Configuration of the Cloud License Service (CLS)
• Installation and Configuration of the Delegated License Service  (DLS)

The course objectives are:

• Оverviewing the NVIDIA License System (NLS)
• Discussing the benefits of the NVIDIA License System (NLS)
• Understanding the two instance types: Cloud License Service (CLS) and Delegated License Service (DLS)
• Explaining the steps required to install and configure each of the two instance types
• Walkthrough migration steps from the Legacy vGPU License System to the NVIDIA License System (NLS)

The prerequisites are:

• Basic knowledge of installing and setting up virtual appliances.
• Familiarity with web/cloud applications.
• Familiarity with NVIDIA products such as vGPU and NVAIE.

Explore the NVIDIA Omniverse development platform for virtual world builders and creators, tailored for virtual realm virtuosos. Enter the complex realm of UI mastery with an in-depth exploration of the robust omni.ui toolset and framework within the NVIDIA Omniverse Kit. In this self-paced course, hands-on exercises will guide you to create a custom UI that streamlines Omniverse workflows.

During this workshop, participants will gain the skills to:

• Initiate Omniverse Code with ease.
• Manage extensions by installing, uninstalling and activating them in Omniverse Code.
• Navigate the extensions panel, opening views and selecting primitives.
• Seamlessly navigate USD’s complex hierarchy of stages.
• Construct a concise form window, complete with stylistic elements.
• Test the limits of one’s creativity 
• Accept the challenge to mimic a window design created by the Omniverse UX team.
• Match form and function to the defined window design.

Once you’ve achieved the culmination, you’ll not only have created a user interface, but you’ll also have gained an in-depth understanding of the Omniverse code.

Prerequisites:

• Basic knowledge of Python (helpful, but not required).
• The Python Tutorial.
• Tools used:
• Omniverse Code
• Visual Studio Code
• Python
• Python Extensions

Minimum recommended hardware:

• Desktop or laptop computer equipped with Intel i7 Gen 5 or AMD Ryzen.
• NVIDIA RTX-capable GPU with 16 GB of capacity.

Similar courses:

“Getting Started with USD for Collaborative 3D Workflows,” a dive path into the Universal Scene Description (USD) framework developed by Pixar designed to foster collaboration between the creative and technical creators of the world.