New NVIDIA Jetson AGX Orin for Next-Gen Robotics

By Phoebe Grinter / 25 Nov 2021

NVIDIA has introduced the NVIDIA Jetson AGX Orin, the world’s smallest, most powerful and energy-efficient Artificial Intelligence (AI) supercomputer for robotics, autonomous machines, medical devices and other forms of embedded computing at the edge.

Jetson AGX Orin Module and Developer Kit 1

Built on the NVIDIA Ampere architecture, Jetson AGX Orin provides six times the processing power and maintains form factor and pin compatibility with its predecessor, Jetson AGX Xavier. It delivers 200 trillion operations per second, similar to that of a GPU-enabled server but in a size that fits in the palm of your hand.

The new Jetson computer accelerates the full NVIDIA AI software stack, allowing developers to deploy the largest, most complex models needed to solve edge AI and robotics challenges in natural language understanding, 3D perception, multisensor fusion and more.

“As robotics and embedded computing transform manufacturing, healthcare, retail, transportation, smart cities and other essential sectors of the economy, the demand for processing continues to surge,” said Deepu Talla, vice president and general manager of embedded and edge computing at NVIDIA. “Jetson AGX Orin addresses this need, enabling the 850,000 Jetson developers and over 6,000 companies building commercial products on it to create and deploy autonomous machines and edge AI applications that once seemed impossible.”

Jetson AGX Orin features an NVIDIA Ampere architecture GPU and Arm Cortex-A78AE CPUs, along with next-generation deep learning and vision accelerators. High-speed interfaces, faster memory bandwidth and multimodal sensor support provide the ability to feed multiple concurrent AI application pipelines.

Customers using the Jetson AGX Orin can leverage the NVIDIA CUDA-X accelerated computing stack, NVIDIA JetPack SDK and the latest NVIDIA tools for application development and optimization, including cloud-native development workflows. 

Pretrained models from the NVIDIA NGC catalog are optimized and ready for fine-tuning with the NVIDIA TAO toolkit and customer datasets. This reduces time and cost for production-quality AI deployments, while cloud-native technologies allow seamless updates throughout a product’s lifetime.

The Jetson embedded computing partner ecosystem encompasses a broad range of services and products, including cameras and other multimodal sensors, carrier boards, hardware design services, AI and system software, developer tools and custom software development.

“Driven by the advancements in AI, the robotics market is growing exponentially,” said Jim McGregor, principal analyst at TIRIAS Research. “NVIDIA is the recognized leader in AI and continues to leverage this expertise to advance robotics through a robust ecosystem and complete end-to-end solutions, including a range of hardware platforms that leverage common tools and neural network models. The new Jetson platform brings the performance and versatility of the NVIDIA Ampere architecture to enable even further advancements in autonomous mobile robots for a wide range of applications ranging from agriculture and manufacturing to healthcare and smart cities.”

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Posted by Phoebe Grinter Unmanned Systems Technology’s digital editor and copywriter Phoebe takes a fresh and enthusiastic approach to researching, writing and posting the latest unmanned technology updates, and in managing the UST social channels. Connect & Contact