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Deep Learning Implementers Panel: Experts Discuss
Their Keys to Success
This customer panel brought together AI
implementers from BMW, Capital One, and Subtle
Medical who have deployed deep learning at scale.
The discussion focused on specific technical
challenges they faced, solution design
considerations, and best practices learned from
implementing their respective solutions.
Creating AI Workgroups Within the Enterprise:
Developers Share Their Best Practices
Learn from NVIDIA customers who shared their
best practices for extending AI compute power to
their teams without a data center. They describe
innovative approaches that let them turn an
NVIDIA DGX Station into a powerful solution
serving developers from the convenience of an
office. Learn how teams building powerful AI
applications may not need to own servers or
depend on data center access and find out how to
take advantage of containers, orchestration,
monitoring, and scheduling tools.
KVM GPU Virtual Machines: Maximizing Performance
and Utilization on DGX
Learn how to deploy deep learning applications
for multi-tenant environments based on KVM.
These virtual machines (VM) can be created with
simple commands and are tuned for optimal DL
performance leveraging underlying NVSwitches,
NVLINKs, and NVIDIA GPUs. Anish Gupta,
Principal Engineer at NVIDIA showed examples
for creating, launching, and managing multiple
GPU VMs in this session.
Red Hat and the NVIDIA DGX: Tried, Tested, Trusted
Red Hat and NVIDIA collaborated to bring together
two of the technology industry's most popular
products: Red Hat Enterprise Linux 7 and the
NVIDIA DGX system. This talk covered how the
combination of RHELs rock-solid stability with the
incredible DGX hardware can deliver tremendous
value to enterprise data scientists. We also showed
how to leverage NVIDIA GPU Cloud container images
with Kubernetes and RHEL to reap maximum
benefits from this incredible hardware.
All You Need to Know About Programming NVIDIA's
NVIDIA's DGX-2 system offers a unique architecture
which connects 16 GPUs together via the high-speed
NVLink interface, along with NVSwitch which
enables unprecedented bandwidth between
processors. In this talk, Lars Nyland and Stephen
Jones of NVIDIA take an in depth look at the
properties of this system along with programming
techniques to take maximum advantage of the
EXPLORE THE FULL LIST
OF DGX SESSION REPLAYS
FROM GTC 2019