Take a closer look at the transformative technologies that are helping us take on the world’s greatest challenges–together.
Explore Sessions for IT Decision Makers
The era of AI requires new IT infrastructure. NVIDIA’s accelerated computing platform speeds time-to-insight by delivering unprecedented acceleration across AI, data analytics, and HPC to tackle the world’s toughest computing challenges.
How To Achieve Million-fold Speedups In Data Center Performance
> Michael Kagan | CTO, NVIDIA
AI is revolutionizing the world, but AI models are increasing in complexity up to 10X each year–far faster than the improvements in any single computing technology such as CPUs, GPUs, or networking. Now that Moore’s Law has ended, we must combine multiple types of accelerated computing and parallel computing. NVIDIA is driving innovation in multiple dimensions in both hardware and software to make it happen.
Featured Speakers
What Every Business Leader Needs To Know To Be Successful With AI
Manuvir Das
Head of Enterprise Computing, NVIDIA
Accelerated and Secure Software-defined Infrastructure for Today’s Data Centers
Kevin Deierling
SVP of Networking, NVIDIA
Enabling Industry 4.0 Digital Transformation with Edge AI-on-5G Solution
Vinay Dhar
SVP Business Development, Mavenir
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Deploying AI in the Department of the Air Force
Lauren Knausenberger
Chief Information Officer, United States Airforce
Extending the Edge of Data Center Network with Juniper Edge Services Platform
T. Sridhar
VP, Juniper Networks
Accelerating Intelligent Spaces with Edge Computing
Justin Boitano
VP/GM Enterprise and Edge Computing, NVIDIA
Building Secure and High-performance Edge Cloud Platforms
Ashok Ganesan
Chief Product Officer, StackPath
Bolstering Enterprise Digitization with AI and 5G Convergence
Eric Parsons
Head of PDU Cloud RAN, Ericsson
Featured Sessions
Data Center, Networking, And Virtualization
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How Leadership-Class AI Infrastructure Will Shape 2023 and Beyond: What IT Leaders Need to Know
> Charlie Boyle | VP, GM DGX Systems, NVIDIA
Learn how the state of AI infrastructure will positively impact your projects and business imperatives in 2023 and beyond.
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How to Modernize your Enterprise Data Center to be AI-Ready
> Anne Hecht | Sr. Director Product Marketing, NVIDIA> John Fanelli | VP of Product Management, Enterprise Software, NVIDIA
Learn which AI use cases to prioritize best practices for building flexible, AI-ready data center infrastructure
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Driving Digital Transformation with AI applications on Real-Time Edge Platforms and 5G
> Malte Melzer | Data Scientist in Chapter Artificial Intelligence & Machine Learning , T-Systems International GMBH
Intelligent applications and automation are key drivers for the digital transformation of enterprises in Automotive, Healthcare and Transportation. In this session, we show examples of implementations and use cases how T-Systems develops, integrates and operates AI applications on edge to drive digitalization.
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Virtualizing Creative Production: How NFL Media Enables Creativity from Anywhere
> Jason Schroeder | Broadcast Engineer, NFL
NFL Media's new facility in Inglewood, California (NFL-LA) is home to a creative environment that currently hosts 140 virtual creative workstations for use by its Media Administration, Editorial, and Graphics departments. Join this session to learn the practicalities of our deployment, some design approaches, our hardware selection process, our user validation efforts, and describe the general experience.
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