DRIVE AGX

Drive AGX is a platform for autonomous vehicles and robotics developed by NVIDIA, a technology company specializing in graphics processing units (GPUs) and artificial intelligence (AI) computing. The platform is designed to provide the computing power and software tools necessary to develop and deploy autonomous vehicles and robotics applications. Drive AGX is built on NVIDIA's GPU technology, including the latest NVIDIA Xavier processors, which are optimized for AI and deep learning workloads. The platform also includes advanced networking and storage capabilities, which enable the processing and analysis of large amounts of sensor data in real-time. Drive AGX includes a range of software tools and frameworks, including NVIDIA's CUDA, cuDNN, and TensorRT, as well as popular deep learning frameworks like TensorFlow and PyTorch. The platform also includes pre-trained AI models and workflows, which can be used to accelerate the development of new AI applications and services. One of the key features of Drive AGX is its support for a range of sensors, including cameras, lidar, and radar. The platform includes advanced sensor fusion capabilities, which enable the integration and processing of data from multiple sensors in real-time. Drive AGX is used in a variety of applications, including autonomous vehicles, robotics, and drones. The platform is designed to help developers and researchers accelerate the development of autonomous systems, improve safety and reliability, and bring new products and services to market faster. Drive AGX is an artificial intelligence (AI) computing platform designed by NVIDIA for autonomous vehicles. It is a powerful and energy-efficient system that combines AI processing with sensors and connectivity to enable self-driving vehicles to perceive, reason, and act in real-time. The Drive AGX platform includes a range of products, including the Drive AGX Xavier and Drive AGX Pegasus. The Drive AGX Xavier is a small and efficient module that provides up to 32 TOPS (trillion operations per second) of processing power, making it suitable for use in level 2+ to level 5 autonomous vehicles. The Drive AGX Pegasus, on the other hand, is a larger and more powerful system that provides up to 320 TOPS of processing power, making it suitable for use in fully autonomous vehicles. The Drive AGX platform includes a range of software tools and frameworks to enable developers to create AI applications for autonomous vehicles. These tools include the NVIDIA TensorRT deep learning inference engine, which optimizes neural network models for deployment on the Drive AGX platform, and the NVIDIA DRIVE Software Development Kit (SDK), which provides a range of APIs and tools for developing and testing autonomous vehicle software. Overall, the Drive AGX platform provides a powerful and flexible computing platform for autonomous vehicles, enabling them to process vast amounts of sensor data in real-time and make informed decisions based on that data.