Zedededa, the leader in management and orchestration of the edges, announced an extended management of the Edge AI platform of Nvidia, introducing improved integration with Nvidia Jetson systems, the NGC catalog and the TAO toolbox.
This complete integration provides companies with a complete workflow for the deployment, security and management of point AI models, allowing faster innovation while guaranteeing operational reliability. The NGC catalog serves as a NVIDIA standard for GPU optimized AI models, while the TAO toolbox allows the adaptation of AI models for EDGE environments. Zededa now allows transparent ways to remove models from the NGC catalog, optimize these models via the TAO toolbox and deploy them and manage them via the Zedededa Secure Edge Computing platform.
While AI becomes a critical workload in The Edge, organizations are faced with unique challenges in the deployment and management of models in environments distributed with resource constraints, heterogeneous equipment and intermittent connectivity. According to Gartner, by 2029, at Least 60% of Edge Computing Deployments Will Use Composite Ai (Both Predictive and Generative Ai), Compared to Less Than 5% in 2023. While Traditional Cloud-Based Tools Struggle To Support the Unique Needs of Devices at the Edge, Zededa’s Edge and nvidia integration address these challenges by providing a unified platform for edge ai orchestration that scales from proof-of-concept to large production deployments.
Zededa’s improved platform allows organizations to accelerate their EDGE AI initiatives while maintaining the safety and management of business quality.
The main innovations include:
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Integration of the NVIDIA NGC catalog: Directity integration allows the transparent deployment of AI models from the NGC catalog to the on -board nodes, considerably simplifying the workflow of the model of the model. -
Optimization of the TAO toolbox: The management of natives for the NVIDIA TAO toolbox allows companies to optimize models specifically for the deployment of edges on jetson systems, improvement of performance and efficiency. -
Zero-Touch Management: Automated deployment and management capacities extend to tens of thousands of nodes, allowing a rapid innovation of AI without increasing operational general costs. -
Advanced observability: The integrated integration of Grafana and Prometheus with expandable APIs provides complete visibility in the performance and health of the AI model at the edge. -
Native support for NVIDIA Jetson GPUs: Zededa’s Eve operating system provides native care for NVIDIA Jetson GPUs, including Orin NX and AGX, allowing transparent AI deployment. Using Zededa market models optimized with Tensorrt and taking advantage of the Eve operating system for the acceleration of the GPU, the performance of the EDGE is considerably improved.
Zededa already allows digital transformation on several sectors:
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Manufacturing: Predictive maintenance, quality control and security detection. -
Energy: Predictive maintenance, safety detection and detection of thrusts. -
Retail: Store intelligence and reduction in withdrawal. -
Transportation: Predictive maintenance, physical security and safety surveillance. -
Robotics: Safety detection, quality control and humanoid robot formation.
As part of its continuous commitment to the innovation of the tips, Zededa continues to extend its ecosystem and its capacities for the deployment of the EDGE. The open architecture of the platform and the growing market for commercial, open-source and private workloads offer organizations unrivaled flexibility to deploy and manage any workload of AI while maintaining coherent safety and orchestration. This expanding ecosystem, which includes partnerships with industry leaders in the development and deployment of EDGE, allows companies to focus on innovation rather than the complexity of infrastructure.
EDGE computer leaders seeking to speed up AI innovation, simplifying EDGE orchestration and guaranteeing that business security can know more about these improvements in Zedededa’s latest blog article.
Zededa will present these capacities during a round table during the Nvidia GTC on March 18, from 6 p.m. to 9 p.m. PT, with the panel starting at 7 p.m. PT. Learn more and register.
Said Ouissal, CEO and founder, Zededa
EDGE AI deployments have unique challenges that cannot be resolved with traditional native cloud tools. By expanding our integration with the NVIDIA IA platform, we allow companies to innovate more quickly with simplified AI deployment workflows, to reduce risks thanks to zero-touch management and safety, and to reduce costs by automating manual processes at the limit. Our approach to the abstance edge of abstance The complexity of the infrastructure, allowing organizations to focus on the transformation of transformation through innovation.
Avijit Sinha, Vice-President, Strategy and Global Affairs Development, Wind River
The intelligent edge requires solutions that can meet real -time requirements for critical security environments. Our work with Zededa combines the expertise of Wind River in IT on board mission with the rationalized orchestration capacities of Zededa. This collaboration is particularly useful for AI deployment industries in environments where reliability and security are not negotiable.
Josh Perkins, vice-president, emerging technologies, to come
Operational efficiency is essential for our customers. Computer vision at the edge helps improve quality and security on remote sites by being able to provide rapid intervention without human supervision when an anomaly is detected. The partnership with Zededa allows us to navigate the complexities of maintaining AI applications based on remote vision, the supply of rationalized workflows which simplify implementation and management while widening material options for our customers.