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NVIDIA Announces World’s Smallest AI Supercomputer

The AI supercomputer can be used for robotics, autonomous machines, medical devices and other forms of embedded computing at the edge.

by Joel Davies
November 10, 2021
in Artificial intelligence, Computer vision, Computers, CV Pro, News Feed
NVIDIA Announces World’s Smallest AI Supercomputer

Image: NVIDIA.

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

Built on the NVIDIA Ampere architecture, Jetson AGX Orin provides 6x 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™ catalogue are optimized and ready for fine-tuning with the NVIDIA TAO toolkit and customer datasets.

The NVIDIA Jetson AGX Orin is capable of running the NVIDIA Isaac Sim™ on the Omniverse Replicator, where developers can build high-performance AI-enabled robots on the Jetson platform. Image: NVIDIA.

“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”.

For specific use cases, software frameworks include NVIDIA Isaac Sim™ on Omniverse for robotics, NVIDIA Clara Holoscan™ SDK for healthcare, and NVIDIA DRIVE™ for autonomous driving. The latest Isaac release includes support for the Robot Operating System (ROS) developer community. NVIDIA has also released the new Omniverse Replicator for synthetic data generation and Isaac GEMs, hardware-accelerated software packages that make it easier for ROS developers to build high-performance AI-enabled robots on the Jetson platform.

NVIDIA AGX Orin powers NVIDIA Clara Holoscan, a new computing platform for the healthcare industry that allows developers to build software-defined medical devices which run low-latency streaming applications on the edge. This processing power is needed for devices such as robotic surgery, endoscopy and diagnostic imaging systems to process physics, imaging and visualization and enable real-time AI-decision support for doctors.

DRIVE AGX Orin, also powered by the NVIDIA Ampere architecture like Jetson AGX Orin, is a platform for the transportation industry. It’s the advanced processor behind the newly announced NVIDIA DRIVE Concierge and DRIVE Chauffeur — two AI platforms dedicated to “redefining” the passenger experience inside the car through AI assistants, and to powering safe, autonomous driving, respectively.

The NVIDIA Jetson AGX Orin module and developer kit will be available in the first quarter of 2022.

You can find more information about NVIDIA and the Jetson AGX Orin™ on its website.

Stay up to date with the most recent automation, computer vision, machine vision and robotics news on MVPro. Read the best stories every Friday with our newsletter.

Tags: automationcomputer visionImagingMachine VisionmanufacturingnewsOEMroboticsScienceTech
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