NVIDIA announced this week NVIDIA DRIVE AGX Orin, its new software-defined platform for autonomous vehicles and robots. The platform includes a new SoC (System on Chip) called Orin with 17 billion transistors and is the result of four years of investment in research and development.
It is considered as the supercomputer menu for embedded and edge systems.
The Orin chip integrates NVIDIA's state-of-the-art GPU architecture and Hercules ARM CPU cores, as well as new deep learning and computer vision accelerators that together deliver 200 trillion operations per second – nearly 7x SoC performance NVIDIA Xavier from the previous generation.
Orin is designed to handle the large number of deep neural networks and applications that work simultaneously on standalone vehicles and robots, and conforms to systematic safety standards such as ISO 26262 ASIL-D.
Built as a software-defined platform, DRIVE AGX Orin is designed to enable architecturally compatible platforms that scale from a Tier 2 vehicle to a fully autonomous Tier 5 vehicle.
Because Orin and Xavier SoCs are programmable through CUDA and TensorRT open libraries and APIs, developers can extend their investments across generations of products.
"Creating a secure autonomous vehicle is perhaps the biggest computing challenge in society today," said Jensen Huang, founder and CEO of NVIDIA. "The amount of investment needed to deliver standalone vehicles has grown exponentially, and the complexity of the task requires a scalable, programmable, software-defined AI platform like Orin."
First deliveries will be made in Houston to select customers
"NVIDIA's long-term commitment to the transportation industry, coupled with its groundbreaking platform and end-to-end tools, has resulted in a vast ecosystem – virtually every stand-alone vehicle company is using NVIDIA in its computing stack. "said Sam Abuelsamid, principal research analyst at Navigant Research.
The NVIDIA DRIVE AGX Orin platform will include a series of configurations based on a single architecture, targeting the 2022 automakers' production schedules.
Source: TechPowerUp, NVIDIA
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