Zedededa improved its integration with the Edge AI platform of Nvidia, including the management of Nvidia Jetson systems, the NGC catalog and the TAO toolbox, to rationalize edge ai Deployment and management.
This will allow companies to deploy, secure and manage AI models at the edge, take up challenges such as resource constraints, heterogeneous equipment and intermittent connectivity.
Direct integration with the NVIDIA NGC catalog, optimization with the TAO toolbox, zero-touch management, advanced observability and native management for NVIDIA Jetson GPUs are all characteristics of this recent development.
“EDGE IA deployments have unique challenges that cannot be resolved with traditional native cloud tools,” said Oisissal, CEO and founder of Zedededa. “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 compact edge approach summarizes the complexity of infrastructure, allowing organizations to focus on transformation of transformation through innovation. »»
Zededa’s platform simplifies AI work flows, improves security and reduces operational costs, allowing the evolution of proof of concept to large-scale deployments. The platform supports industries, including manufacturing, energy, retail, transport and robotics with applications such as predictive maintenance, security detection and quality control.
The open architecture and the open market of Zedededa offer flexibility to deploy and management of the workloads of various AI Edge while maintaining safety and on -board orchestration.
Partnerships with industry leaders such as Wind turbine And forward, demonstrate Zedededa’s capacities in AI Critical and vision -based AI applications.
Zededa will highlight these advances in NVIDIA GTC 2025 this week and continue to extend its ecosystem.
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AI / ML | edge ai | on -board orchestration | Edge platform | Nvidia | Zedededa