Rugged edge computer delivers real-time processing in AI devices
Stephen LawAutomation / Robotics Electronics Embedded Systems AI computing embedded
NVIDIA Jetson Orin Nano rugged Edge Computer targets the growing demand for real-time processing capabilities in artificial intelligence (AI) devices such as smart cameras, handheld’s, smart meters, and service robots, where integrators often require a lower power and a more cost-effective solution. Product provides up to 80x the AI performance of its predecessor, providing a substantial boost in on-device, low-latency processing without increasing power consumption or cost. Series will be available in two versions, a 4GB and an 8GB model, each denoting the amount of LPDDR5 respectively. The 4GB version features a 512-core NVIDIA Ampere GPU (Graphics Processing Unit) with 16 Tensor cores, whilst the 8GB version features 1024-core NVIDIA Ampere GPU with 32 Tensor cores. Each version shares the same MAX GPU frequency of 625MHz, delivering 40 trillion operations per second (TOPS). Both versions will include a 6-core Arm Cortex-A78AE CPU (Central Processing Unit), Ampere architecture GPU, video decode engine, ISP, video image compositor, audio processing engine, and video input block.