NVIDIA unveils 200 trillion operations per second edge AI accelerator


Fin is a former junior editor at TechForge.

NVIDIA debuted the latest version in its AI accelerator series for robotics and edge devices at its GTC event on November 9, the Jetson AGX Orin.

The new model is built on NVIDIA’s Ampere architecture and can process up to 200 trillion operations per second, six times the capacity of its predecessor.

The company’s Jetson series of products are used in a diverse range of edge and AI devices for a wide variety of use cases.

NVIDIA’s VP and general manager of embedded and edge computing, Deepu Talla, said: “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.

“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.”

The Orin features Arm Cortex-A78AE CPUs, next-gen AI and vision accelerators, faster memory bandwidth, and multimodal sensor support that allows for concurrent AI application pipelines.

NVIDIA is already using the Orin to power its Clara Holoscan, a new healthcare platform for developing software-defined medical devices that need to stream at the edge.

Jim McGregor, principal analyst at Tirias Research, said: “The new Jetson platform brings the performance and versatility of the Ampere architecture to enable even further advancements in [systems] for a wide range of applications.”

The Jetson AGX Orin module, along with its developer kit, will see a market release in the first quarter of 2022.

Looking to revamp your digital transformation strategy? Learn more about the Digital Transformation Week event taking place in Amsterdam on 23-24 November 2021 and discover key strategies for making your digital efforts a success.

Tags: , , , ,

View Comments
Leave a comment

Leave a Reply