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5 Must-See DGX Sessions from GTC 2019
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.
WATCH NOW
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.
WATCH NOW
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.
WATCH NOW
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.
WATCH NOW
All You Need to Know About Programming NVIDIA's
DGX-2
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
system architecture.
WATCH NOW
EXPLORE THE FULL LIST
OF DGX SESSION REPLAYS
FROM GTC 2019
LEARN MORE

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Top 5 DGX Sessions From GTC 2019

  • 1. 5 Must-See DGX Sessions from GTC 2019
  • 2. 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. WATCH NOW
  • 3. 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. WATCH NOW
  • 4. 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. WATCH NOW
  • 5. 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. WATCH NOW
  • 6. All You Need to Know About Programming NVIDIA's DGX-2 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 system architecture. WATCH NOW
  • 7. EXPLORE THE FULL LIST OF DGX SESSION REPLAYS FROM GTC 2019 LEARN MORE