The Technology Conference for the Era of AI and the Metaverse
The Technology Conference for the Era of AI and the Metaverse
September 19-22, 2022
VMware Explore is just happening in San Francisco, August 29–September 1. Register today to check out the NVIDIA Lounge with sessions, hands-on-labs, and more focused on accelerated networks for modern workloads, the rise of enterprise AI, and next-level collaboration and simulation.
Sessions about Project Monterey
Hands-On Lab and Expert-Led Workshop
Aug 29 and Aug 31: What’s New from NVIDIA with VMware vSphere and Project Monterey
Breakout Sessions:
Aug 31: Transform Your Data Center to Accelerate AI in Enterprise over Multi-Cloud
Aug 31: Secure and Accelerate Your Data Centers with Project Monterey
Sep 1: Offload, Accelerate, and Isolate Workloads over VMware Cloud Foundation with Project Monterey
Sep 1: Increase Security and Performance Using Project Monterey and NVIDIA DPUs
There are tremendous commercial opportunities in using academic research to develop technologies that can solve problems in such domains as medicine, robotics & automation, logistics, and various other industries. Exploiting these opportunities, however, still requires significant innovation in hardware and software frameworks, coupled with cutting-edge academic research. The best academic literature results typically can’t be directly applied to a product due to misalignment with market needs, and/or the product’s inability to repeatedly and reliably perform its function under non-ideal (real-world) conditions. Our panel comprises renowned academics who used their research skills to develop products for real-world use cases and became successful entrepreneurs. Hear about their challenges in bridging the gap between academic research and real-world products. They’ll share their approaches to integrating their research into commercial products and explain the challenges they overcame on their journeys to becoming successful entrepreneurs.
For more information, please check:https://www.nvidia.com/gtc/?ncid=em-news-908793-vt45
Source:NVIDIA
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