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Scaling AI Workloads with NVIDIA GPU Cloud (NGC) Containers and Kubernetes

As AI continues to enable extraordinary leaps in the capabilities of applications and services, it has become critical for organizations to flexibly deploy infrastructure for these solutions and make efficient use of them.

NVIDIA provides a number of solutions to accomplish this. NVIDIA GPU Cloud (NGC) provides containerized versions of all the top deep learning software, thoroughly tested and updated frequently for maximum performance on NVIDIA GPUs. In conjunction, NVIDIA has also extended Kubernetes, the most popular tool for orchestrating containers, to support GPU-accelerated servers and GPU telemetry. NVIDIA also has a comprehensive portfolio of data center GPUs for use both in on-prem installations and on the top public cloud providers. All of this together creates a dynamic, scalable environment for AI implementations.


By watching this webinar replay, you'll learn:
  1. How NGC containers simplify deployment of AI software
  2. A technical overview of Kubernetes on NVIDIA GPUs
  3. Tips and tricks for rolling out orchestrated AI solutions for maximum performance and scalability
ONDEMAND WEBINAR REGISTRATION

Presented By
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Chris Kawalek
Senior Manager, NVIDIA GPU Cloud, NVIDIA

Chris has over 20 years of experience in product marketing and product management for enterprise technologies. Prior to joining NVIDIA, Chris held senior product roles at ForgeRock, Oracle, Sun Microsystems, and was a founder of Caststream.
 
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Michael Balint
Senior Technical Product Manager, NVIDIA DGX Software, NVIDIA

Michael is a Senior Technical Product Manager at NVIDIA. Prior to working at NVIDIA, Michael was a White House Presidential Innovation Fellow, where he brought his technical expertise to projects like VP Biden’s Cancer Moonshot and Code.gov. A graduate of both Cornell and Johns Hopkins University, he has had the good fortune of applying software engineering and data science to many interesting problems throughout his career, including: tailoring genetic algorithms to optimize air traffic, harnessing NLP to summarize product reviews, and automating the detection of melanoma via machine learning.
 
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