NVIDIA WEBINAR
Sub brand
Date: 01 Jan 2019
Time: 10:00am – 11:00am GMT
Duration: 1 hour
Time: 10:00am – 11:00am GMT
Duration: 1 hour
Todays enterprise needs a platform that can help business embrace AI-powered transformation to thrive in challenging times. NVIDIA DGX A100 delivers breakthrough computing performance while enabling organizations to unify previously siloed resources that were optimized for single AI workload types. Built on the revolutionary NVIDIA A100 Tensor Core GPU, DGX A100 unifies data center AI infrastructure, flexibly adapting to training, inference, and analytics workloads with ease. More than a server, DGX A100 is the foundational building block of AI infrastructure and part of the NVIDIA end-to-end data center solution created from over a decade of AI leadership by NVIDIA. Attend this session to learn how DGX A100 can help you fast-track AI transformation.
By attending this webinar you'll learn:
- How NVIDIA DGX A100 and the NVIDIA A100 Tensor Core GPU adapt to training, inference, and analytics workloads
- Why enterprise organizations need to break down resource siloes
- How to fast-track AI transformation
WEBINAR REGISTRATION
THANK YOU FOR REGISTERING FOR THE WEBINAR
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speakers
Charlie Boyle
VP/GM, DGX Systems, NVIDIAAs vice president and general manager of DGX Systems at NVIDIA, Charlie Boyle leads the company's effort to drive worldwide adoption of its AI supercomputing systems and bring the world of AI to enterprise customers. Charlie brings a wealth of knowledge in the IT and service provider industry, having run marketing, engineering and data center operations for some of the world's largest telcos and service providers.
Christopher Lamb
Vice President, Compute Software, NVIDIAChris leads software engineering for the CUDA platform, DGX systems, data-center distributed systems such as Kubernetes, and NGC, a registry for accelerated solutions on NVIDIA platforms; software that spans supercomputers, clouds, workstations, robots, and self-driving cars. Over his career he's worked in diverse areas from many-core computer architecture, compiler and performance tools engineering, embedded systems, microwave communication, networking, and distributed systems. Chris has a BS in Computer Engineering from the University of Illinois at Urbana-Champaign.
Rajeev Jayavant
Vice President, GPU Systems Engineering, NVIDIARajeev leads hardware engineering for NVIDIA DGX systems and NVIDIA HGX accelerated server platforms. His journey at NVIDIA has spanned GPU design, notebook engineering, partner enablement, GPU boards, and now systems and server platforms. Rajeev has B.S., M.S., and degrees in Electrical Engineering from the Massachusetts Institute of Technology.
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