Automating the Edge with Robotics

Seeed Studio expedites industrial edge deployment of NVIDIA for generative AI offerings

Seeed Studio expedites industrial edge deployment of NVIDIA for generative AI offerings

Seeed Studio, a partner of the NVIDIA partner network, is bringing NVIDIA Metropolis Microservices on Jetson to their reThings hardware platform, powered by NVIDIA Jetson Orin.

According to the company, the collaboration offers a microservices-based software stack to streamline workflows for developing vision AI and generative AI applications. As an embedded AI partner to global developers, Seeed offers hardware services for the NVIDIA Jetson edge AI and robotics platform, which includes prototyping and solution development.

NVIDIA Metropolis Microservices for Jetson helps developers modernize their app stack, streamline development and deployment, and future-proof their apps, delivering the ability to bring generative AI capabilities to any customer through API calls.

Its application microservices include video storage and management, pre-built vision AI inference pipelines, system monitoring, and cloud connectivity. The platform microservices include system monitoring, IoT gateways, and cloud connectivity services to help with solution maintenance.

“The modular and extensible architecture of NVIDIA Metropolis Microservices will help provide faster solutions to market across an ever-growing Al application portfolio,” says Leslie Liao, VP of edge computing at Seeed Studio. “Our collaboration with NVIDIA will help our work delivering the power of modern AI at the edge, integrated with real-world data from AIoT sensors.”

Generative AI transforms vision AI by creating synthetic visual content for dynamic applications like simulations and AI model training, according to the company. This shift from analysis to creation enhances system capabilities.

NVIDIA Jetson AGX Orin and Orin NX systems deliver up to 275 TOPS of AI performance, with the aim of enabling the running of large language models and vision transformers locally. To facilitate the integration of generative AI applications into Metropolis Microservices-based systems, NVIDIA offers a collection of Python modules that developers can leverage.

The Seeed Studio reThings Series, powered by NVIDIA Jetson, offers edge devices in various form factors. CVEDIA is a technology firm that focuses on the development, deployment, and integration of intelligent video analytics solutions that support all NVIDIA Jetson platforms.

CVEDIA will offer a range of video analytics solutions on Seeed’s reThings edge devices and will be offered through NVIDIA’s Metropolis Microservices on the Jetson platform. The company notes that the collaboration will accelerate the adoption and implementation of vision AI across all AIoT cameras.

Read more:

Himax, Seeed Studio develops Grove Vision AI module for edge inference

AlwaysAI, Seeed Studio collaborate to ease the deployment of computer vision applications

 

Article Topics

 |   |   | 

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Featured Edge Computing Company

Edge Ecosystem Videos

Automating the Edge

“Automating

Deploying AI Models at the Edge

“Deploying

Latest News