HIGHER ED WEBINAR
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Date: April 22, 2020
Time: 10:00am – 11:00am PDT
Duration: 1 hour
Time: 10:00am – 11:00am PDT
Duration: 1 hour
Schools, colleges, and universities are undergoing an unprecedented challenge to provide remote teaching and learning campus-wide. While remote learning isn’t a new phenomenon, providing quality service at scale is now a requirement, along with a new set of challenges that span user experience, mobility, effective management of a distributed deployment, and data security.
Solutions that enable remote work, such as NVIDIA virtual GPU (vGPU) and Virtual Compute Server (vCS), enable you to meet these new requirements with cost-effective solutions for existing on-premise infrastructure assets and in the cloud.
By attending this webinar, you'll learn:
- How NVIDIA vGPU technology solutions enable remote work and learning.
- How vGPU solutions are helping universities.
- How to get started with vGPU and vCS to accelerate VDI and computational workloads in your institution.
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
Cheryl Martin
Director of Global Business Development, Higher Education and Research, NVIDIACheryl Martin leads the Higher Education and Research Market for NVIDIA. With over 30 years of experience in the technology industry covering Higher Education and other commercial Industries, she has a track record of helping customers adopt new strategies driven by technology. At NVIDIA, Martin works with the Higher Education and Research industry to support the adoption of NVIDIA’s accelerated computing solutions, including HPC and AI for teaching and research.
Konstantin Cvetanov
Senior Solution Architect, NVIDIAKonstantin Cvetanov specializes in GPU virtualization and leads technical pre-sales and implementation of NVIDIA vGPU solutions, among strategic customers and channel partners in the enterprise, education, and federal markets in the southeastern United States. Cvetanov has 10 years of experience in designing complex data center and end-user computing infrastructures in a customer-facing role. He published a book on desktop virtualization in 2015.
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