Solution Brief:

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.

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