Edge computing has a lot to offer enterprises in terms of cost savings, increased efficiency, and all manner of other positive benefits that Justin Boitano is excited about. As the VP of EGX at NVIDIA, he and his team help enterprises drive incredible efficiencies, training models, and implementing a strategy that includes a low cost time to value. Tune in for some practical examples and case studies of what edge computing can really do for the future of technology.
Tune in to learn:
- How NVIDIA is unlocking more powerful computing at the edge. (02:15 )
- How does computing at the edge actually help companies scale? (05:45)
- Improving the customer experience through edge computing (12:27)
- Fast model training means fast time to value with NVIDIA AI Enterprise (14:49)
- Addressing security concerns for edge computing (21:35)
About the Guest:
BIO: Justin leads the scale-out enterprise accelerated data center business at NVIDIA. Previously, he was vice president of marketing and business development at Frame, a multi-cloud app delivery service (acquired by Nutanix) and was general manager of NVIDIA’s enterprise virtualization and cloud business. Justin draws on his 19+ years of business leadership, a B.S. in computer science, and an MBA to identify high-value opportunities to help enterprises unlock previously unrealized productivity gains with NVIDIA GPU acceleration from AI to VDI.
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