If you were unable to attend GTC 2019 or couldn't make it to all of the sessions you had on your list, check out the top four DGX POD sessions from the conference on-demand.

1. 4 DGX POD Sessions from GTC 2019 You Can’t
Miss

2. How to Accelerate and Scale AI Deployment with
Proven Architecture Designs
While every enterprise is on a mission to infuse its
business with deep learning, few know how to
build the infrastructure to get there. Short-sighted
approaches to data center design can lead to
long-term consequences that make the ROI of AI
elusive. Learn about the insights and best
practices we at NVIDIA have gained from deep
learning deployments around the globe to shorten
deployment timeframes, improve developer
productivity, and streamline operations.
WATCH NOW

3. Building and Managing Scalable AI Infrastructure with
NVIDIA DGX POD and DGX POD Management Software
NVIDIA DGX POD is a new way of thinking about AI
infrastructure, combining DGX servers with networking
and storage to accelerate AI workflow deployment and
time to insight. Hear the lessons learned about
building, deploying, and managing AI infrastructure at
scale — from design to deployment to management and
monitoring. Our speakers show how the DGX Pod
Management software (DeepOps) along with our
storage partner reference-architectures can be used
for the deployment and management of multi-node
GPU clusters for Deep Learning and HPC environments,
in an on-premise, optionally air-gapped datacenter.
WATCH NOW

4. Edge to Core: A Meta Study of Data Complexity in AI
(Presented by DDN)
Learn about the challenges uncovered in AI and deep
learning workloads, the most efficient approaches to
handling data, and use cases in autonomous vehicles,
retail, healthcare, finance, and other markets. This
talk covers the complete requirements of the data
life cycle including initial acquisition, processing,
inference, long-term storage, and driving data back
into the field to sustain ever-growing processes of
improvement. DDN provides examples of data life
cycles in production triggering diverse architectures
from turnkey reference systems with DGX and DDN
A3I to tailor-made solutions.
WATCH NOW

5. Data Loading: The Next Frontier in Scale-Out Deep
Learning (Presented by Pure Storage)
Learn how to create efficient input pipelines that
are tailored to your training data. Gain guidance
on tradeoffs between pre-processing datasets and
in-line data processing, and review results from a
distributed training environment with multiple
NVIDIA DGX-1s and a Pure Storage FlashBlade to
highlight performance impact at scale. Learn how
to maximize time to accuracy and, ultimately,
time to shipping models.
WATCH NOW

6. EXPLORE THE FULL LIST
OF DGX SESSION REPLAYS
FROM GTC 2019
LEARN MORE