May 01, 2025
Cloud-Native Edge Orchestration & Management
As AI adoption accelerates, businesses are moving away from centralized cloud-based processing and
turning to Edge Computing to deploy AI models closer to where data is generated. This shift is driven by the
need for low-latency decision-making, real-time analytics, and reduced cloud dependency, especially in
industries like smart cities, retail, industrial automation, and telecommunications.
However, managing thousands of distributed GPU-powered Edge AI devices presents significant challenges:
scalability, security, remote monitoring, and efficient AI orchestration. Unlike traditional IT infrastructure,
Edge AI deployments require continuous updates, real-time observability, and seamless workload
distribution across decentralized locations—all without relying on highly skilled on-site technicians. Without
an intelligent orchestration layer, companies struggle to scale their AI solutions efficiently, leading to costly
manual interventions, security risks, and operational bottlenecks.
Namla provides a cloud-native orchestration platform that streamlines Edge AI management, ensuring rapid
deployment, effortless scaling, and robust security. Hardware-agnostic by design, Namla leverages
Kubernetes for seamless orchestration across diverse Edge AI devices, including Nvidia Jetson and other
hardware, ensuring maximum flexibility and scalability. Additionally, Namla integrates SD-WAN network
capabilities, delivering secure, high-performance, and reliable Edge-to-Cloud connectivity across distributed
infrastructures.
