PNY Technologies Inc.
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PNY and NVIDIA Logos
PNY and NVIDIA Logos
PNY and NVIDIA Logos
PNY and NVIDIA Logos

ON-DEMAND WEBINAR

NVIDIA RTX FOR HIGHER EDUCATION AND RESEARCH

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About Webinar

Higher education departments require visual computing technology for a wide range of deployments, from AI and data analytics to high performance computing (HPC), simulation, as well as 3D design and content creation. NVIDIA RTX™ professional GPUs, combined with NVIDIA’s stack of GPU accelerated software for compute, AI, data science, visualization, and HPC, provide a complete computing platform for education. NVIDIA technologies such as NVIDIA Omniverse™ and Neural Graphics provide students and researchers with access to cutting edge tools today to prepare for the research challenges and careers of tomorrow. This webinar will provide information necessary for the HER community to select the right NVIDIA RTX GPUs to provide solutions that span your desktop visual computing needs to augment your data center computing resources and provide individual computing systems for a robust computing environment.

Learn About

  • Overview of the NVIDIA platform for visual computing
  • Review of the current NVIDIA RTX enterprise product line
  • Challenges facing Higher Education and Research
  • How NVIDIA RTX technology – hardware and software – is a driving force in HER
    • NVIDIA RTX GPU technology
    • NVIDIA GPU-accelerated software
      • AI, DL, ML, HPC, visualization software
      • NVIDIA Omniverse – platform for 3D collaboration and virtual world simulation
  • How NVIDIA-powered workstation solutions help meet your HER computing needs
  • A special sales incentive program for higher education institutions

NVIDIA RTX A6000

NVIDIA RTX GPUs

NVIDIA RTX™ GPU, based on the latest NVIDIA Ampere GPU architecture, provides the power, performance, memory, and features required for entry-level HER deployments. It combines the latest-generation RT Cores, Tensor Cores, and CUDA cores for accelerated rendering, AI, graphics, and compute performance. Connect two NVIDIA RTX A4500s for 40GB of memory with NVIDIA NVLink to work with larger AI, ML, and HPC datasets. With more computational resources, researchers and scientists can experience significantly faster AI deployments and accelerate scientific discoveries. NVIDIA offers robust hardware along with enterprise-ready software, tools, drivers, and support that are required for AI, ML, and HPC applications.

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Speakers

Sy Cody White

Sy Cody White

Host and Digital Video Content Producer,
PNY Technologies

Allen Bourgoyne

Derek Ellis

CONTENT MARKETING MANAGER,
PNY TECHNOLOGIES

Carl Flygare

Carl Flygare

NVIDIA Pro and Data Center GPU Marketing Manager,
PNY Technologies

Allen Bourgoyne

Allen Bourgoyne

DIRECTOR, PRODUCT MARKETING, NVIDIA PROFESSIONAL VISUALIZATION PRODUCTS,
NVIDIA

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