Kernel
What is Kernel?
A kernel is the core component of an operating system or software framework that manages hardware communication, memory, and processes. In Edge AI, the kernel (also called the core module) ensures efficient execution of AI algorithms directly on edge devices, minimizing latency and maximizing real-time decision-making.
Why Is It Used?
Kernels are used to provide a stable, high-performance environment for running AI models on devices at the edge. They ensure smooth interaction between AI software and device hardware, enabling faster insights without relying on cloud computing.
How Is It Used?
Controls low-level hardware resources (CPU, GPU, memory) for AI tasks
Manages data flow between AI applications and sensors
Supports real-time processing for applications like autonomous systems, industrial IoT, and smart cameras
Types of Kernel
Monolithic Kernel: All system services run in a single process, providing speed but lower modularity.
Microkernel: Minimal core functions with modular services, ideal for secure, lightweight Edge AI devices.
Hybrid Kernel: Combines performance of monolithic kernels with modularity of microkernels.
Benefits of Kernel
Real-time AI inference at the edge
Lower latency and reduced cloud dependency
Optimized resource usage on edge devices
Enhanced system stability and security