Solution Brief
August 01, 2024
Secure Edge Deployment with Namla's Advanced Zero Touch
As Edge Computing is increasingly being adopted, especially due to AI use cases that only works when deployed onPrem (i.e where the data is generated), deploying the infrastructure becomes a real challenge. Companies, MSPs & SIs need to deploy hundred and sometimes thousands of devices in highly distributed locations. Deploying a device in most cases means sending a technical skilled engineer onsite & doing all needed configurations required to the device to be operational. This is not only expensive but time consuming, and can be subject to configuration errors. Namla Zero Touch Deployment addresses these challenges, allowing companies to efficiently deploy thousands of edge devices, without the need of onsite technical presence. This solution brief explains how Namla ZTD works, and the different use cases it was used for.
August 01, 2024
Secure Edge Orchestration
In the fast-evolving landscape of edge computing, traditional security measures often struggle to address new and emerging threats. This challenge is especially acute for environments using NVIDIA Jetson-based devices for applications like computer vision. The collaboration between Lanner, AI Edge Labs, and Namla addresses these issues by providing robust security for distributed edge infrastructure, coupled with advanced orchestration and management. By integrating Namla's Kubernetes Orchestration and SDWAN with Lanner Jetson devices, and leveraging AIEdgeLabs' security solutions, companies gain a secure, cloud-native environment complemented by a resilient edge-to-cloud network infrastructure. This combined approach ensures dependable and robust operations across various branch offices and distributed locations.
August 01, 2024
Deploying Edge AI Infrastructure & Applications at Scale
As AI becomes increasingly embedded in software, companies are turning to more optimized architectures where applications operate at the Edge, directly at the data source. This method eliminates the need to transfer terabytes of data to the Cloud, where traditional AI models typically run, thereby reducing bandwidth consumption, minimizing latency, and addressing data privacy concerns. However, this architecture involves deploying hundreds or even thousands of devices across various locations, presenting new challenges in deployment, management, and availability. This solution brief details how Namla addresses these challenges with its Cloud Native Edge Orchestration platform. Namla enables companies to efficiently deploy and manage distributed Edge AI infrastructure and applications at scale, ensuring reliability, security, and automation.