With a commitment to providing customers “Power of Choice”, 99% of BMW vehicle orders are uniquely customized, creating immense challenges for factory logistics. BMW Group’s complex supply chain of specialized parts from more than 4,500 supplier sites must cater to their just-in-time and just-in-sequence manufacturing practices.
“BMW Group is leading the way to the era of automated factories, harnessing breakthroughs in AI and robotics technologies to create the next level of highly customizable, just-in-time, just-in-sequence manufacturing.” - Jensen Huang, founder and CEO of NVIDIA
The collaboration between the two companies is based on creating an end-to-end system using a single robotics software architecture with comprehensive tools, libraries, reference applications, and pre-trained Deep Neural Network algorithms.
•AI-enabled robots powered by high performance NVIDIA® Jetson platform and EGX-powered edge computers
•NVIDIA DGX systems to train new AI robots
•NVIDIA Isaac simulation technology, built on Omniverse, to test the robots in virtual factory environments
•NVIDIA Quadro® ray-tracing GPUs to render synthetic machine parts for accelerated development