Fog Compute Layer

The IoT fog compute layer acts as an intermediary between edge devices and the cloud, enabling localized data processing, storage, and decision-making. By bringing computation closer to where data is generated, it reduces latency, enhances response times, and minimizes bandwidth usage. This layer supports real-time analytics, security measures, and resource management for applications that require low-latency performance, such as autonomous vehicles, smart grids, and industrial IoT systems. By distributing computational tasks, the fog compute layer ensures efficient and scalable IoT operations while offloading some of the processing burden from centralized cloud systems.

PLL Advantage

Low Power Compute

Edge devices exist in a disadvantaged environment often with low power available - by leveraging both Nvidia and Qualcomm snapdragon hardware we create solutions which go anywhere

Low Size

Edge devices exist in a disadvantaged environment often with small envelope - by leveraging efficient hardware we create solutions which go anywhere.

Low Weight Compute

Edge devices exist in a disadvantaged environment often with tight weight requirements like UAV's (Internet of Flying Things) - by creating synergistic condensed solutions we create compute which can go anywhere

AI Features

By including (low SWAP) AI capabilities such as GPU and NPU PLL solutions can take advantage of the incredible emerging AI algorithms changing the world.

Fog Compute Layer

PLL Advantage

Low Power Compute

Low Size

Low Weight Compute

AI Features

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