DGX Technical Sessions

As our valued NVIDIA DGX customer, we’re giving you direct access to our best practices and AI expertise through a series of live technical sessions. Get answers to your questions about DGX systems, with topics ranging from planning to deployment to ongoing optimization. The sessions are led by NVIDIA DGXperts — AI-fluent professionals who have deployed thousands of DGX systems like yours. These sessions are exclusive to DGX users, and registration links to upcoming sessions will be posted here.

Make sure you get communications on future sessions by signing up for an account on our enterprise support portal. Your NVIDIA enterprise account manager can easily add you to our portal or you can contact us dgx_info@nvidia.com

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Due to overwhelming interest in the new Multi-Instance GPU (MIG) feature of DGX A100, we had three sessions that explored it in more detail. DGX A100 with MIG enables your team to support more AI workloads, right-size resources for every job, and increase overall system utilization. Check out the replay here:

MIG Technical Series (Part 1 of 3): Overview of MIG on DGX
MIG Technical Series (Part 2 of 3): MIG Use and Configuration on DGX
MIG Technical Series (Part 3 of 3): MIG in a Cluster

Make sure you all sign up for our future monthly sessions! We’d love to see you there!

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Our next technical session is on Friday, January 14 at 10am PST / 19:00 CET. Register here . Note: Registration is required and will only be approved for customers that have an active support contract.

Create Custom AI Models Faster with NVIDIA TAO and DGX
Churning out production-ready AI models and applications without an army of data scientists and massive training datasets is a daunting task. Developers are increasingly leveraging transfer learning on pre-trained models to build AI applications faster with minimal coding and reduced dataset requirements.

In this live webinar, you will learn about the TAO Toolkit, a CLI and Jupyter notebook-based solution of NVIDIA TAO - a framework for creating custom, production-ready models. We’ll demonstrate how you can fine-tune high-quality NVIDIA pre-trained AI models with no AI expertise and with only a fraction of the data compared to training from scratch.

If you are a DGX customer and not receiving the invitations, email dgx_info@nvidia.com.

NVIDIA TAO toolkit is being explored by many customers, including a multinational pizza chain, one of America’s largest supermarket chains, and the largest global retailer. Make sure you register here for next week’s tech session so you can jumpstart your AI projects using pre-trained models for common AI tasks. Send your questions ahead of time to dgx_info@nvidia.com