NVIDIA WEBINAR
As AI and data science continue to enable extraordinary leaps in the capabilities of applications and services, it’s more important than ever for your organizations and data science teams to get started faster and effortlessly experiment with the power of a data center in your office.
NVIDIA DGX software stack on DGX Station --the world’s fastest workstation for leading-edge AI development -- provides containerized versions of all the top deep learning software and a suite of open source data science libraries. With GPU-aware and containerized Kubernetes from NVIDIA, your data science team can benefit from industry-leading orchestration tools to better schedule AI resources and workloads. Data scientists can run compute workloads 24/7 by scheduling and queuing jobs, running multiple simultaneous jobs, and easily monitoring GPU health.
Enjoy productive experimentation and spend more time focused on insight.
By attending this webinar, you'll learn:maincontent goes here
Content goes here
content goes here
Content goes here
Content goes here
Markus Weber is a senior product manager for DGX Station at NVIDIA. Before joining NVIDIA in 2016, he held positions in product management, product marketing, technical marketing, and pre-sales engineering at Sun Microsystems, Oracle, and ForgeRock.
Michael Balint is a senior manager of applied solutions engineering at NVIDIA. Previously, Michael was a White House Presidential Innovation Fellow, where he brought his technical expertise to projects like Vice President Biden’s Cancer Moonshot program and Code.gov. Michael 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.
Presenter 3 Bio
Presenter 4 Bio
Content here
Webinar: Description here
Date & Time: Wednesday, April 22, 2018