GPU Enhancements for Mission-Critical Applications

EIZO has released an article explaining the benefits NVIDIA's Ampere brings to its embedded systems to support both traditional render applications as well as GPGPU operations like target detection using both traditional and AI/ML methods. Autonomous vehicles such as UAVs must have the highest efficiency computing systems to ensure accurate vision and perception in SWaP (Size, Weight, and Power)-restricted environments while not sacrificing performance. High-Performance Computing (HPC) systems running at the edge require the utmost powerful GPGPU processing hardware per watt to assure advanced Artificial Intelligence (AI) and Machine Learning (ML) algorithms can execute on the expected workflows. Most importantly, lives depend on the systems used in mission-critical environments. The computer systems completing the sensor analysis and mathematical calculations require extreme accuracy to ensure missions are safe and successful.