Developer Blog: Building AI Infrastructure with NVIDIA DGX A100 for Autonomous Vehicles

Autonomous vehicles (AV) are transforming the way we live, work, and play—creating safer and more efficient roads. In the future, every vehicle may be autonomous: cars, trucks, taxis, buses, and shuttles. AI and AV are transforming mobility and logistics, creating new business models and enormous efficiencies for the $10T transportation industry.

These revolutionary benefits require massive computational horsepower and large-scale production software expertise. NVIDIA has been working on self-driving cars for many years and has built an internal infrastructure with DGX systems and Mellanox networking capabilities, called NVIDIA DRIVE Infrastructure.

NVIDIA DRIVE Infrastructure is a complete workflow platform for data ingestion, curation, labeling, and training plus validation through simulation. NVIDIA DGX systems provide the compute needed for large-scale training and optimization of deep neural network models. These systems also provide compute needs for running replay and data factory operations. NVIDIA DRIVE Constellation provides physics-based simulation on an open, hardware-in-the-loop (HIL) platform for testing and validating AVs before they hit the road.

NVIDIA has introduced NVIDIA DGX A100, which is built on the brand new NVIDIA A100 Tensor Core GPU. DGX A100 is the third generation of DGX systems and is the universal system for AI infrastructure. Featuring five petaFLOPS of AI performance, DGX A100 excels on all AI workloads: analytics, training, and inference. It allows organizations to standardize on a single system that can speed through any type of AI task at any time and dynamically adjust to changing computing needs over time. This unmatched flexibility reduces costs, increases scalability, and makes DGX A100 the foundational building block of the modern AI data center.

NVIDIA DGX A100 redefines the massive infrastructure needs for AV development and validation. NVIDIA has outlined the computational needs for AV infrastructure with DGX-1 system. In this technical post, we redefine the computational needs for AV infrastructure with NVIDIA DGX A100 systems.

Read the full blog, Building AI Infrastructure with NVIDIA DGX A100 for Autonomous Vehicles, on the NVIDIA Developer Blog.