Join Lanner’s keynote at NVIDIA’s GTC 22 to learn how to leverage GPU-Accelerated computing platforms in ICT infrastructure to accelerate time to market for your Smart City solutions.
A Smart City is a well-connected city that constantly and intelligently interacts with the environments, things, and human beings. At the scale of a city, punctual data processing and smart service delivery require accelerated and coordinated Edge and Cloud infrastructures. Likewise, continuous growing and metabolizing infrastructures demand rapid implementations, elastic workload orchestration, and a GPU-Accelerated methodology.
While there is no single definition of "Smart City," there is no way to judge whether an entire municipality or metropolis is "smart." However, if a city lacks proper ICT infrastructures in place, it certainly can't interact with and serve its citizens in a modern way.
Integrated with NVIDIA GPU and DPU, Lanner Edge AI platforms enable Smart City solutions with specific requirements for low-latency, high-throughput, and/or power efficiency in reliable and mission-critical applications.
In Lanner’s keynote session, we will provide a simplified overview on:
- Why "Smart City" needs GPU-Accelerated ICT infrastructures.
- How to build the infrastructures efficiently and economically with AI
- A realistic and tangible use case of an orchestrated surveillance system enabled with NVIDIA technologies for Smart City
Nvidia NGC-ready Edge AI Appliance With NVIDIA® T4 GPU Compatibility
|CPU||Intel® Core™ i7-8700 (Codenamed Coffee Lake S)|
1U 19” Rackmount Open RAN Appliance with Intel Xeon® D-2100 Multi-core Processor (Codenamed Skylake-DE)
|CPU||Intel® Xeon® D2100 8/12/14/16 Cores|