The rapid evolution of Artificial Intelligence (AI) has paved the way for groundbreaking applications across various industries. A significant part of this evolution is the shift towards deploying AI closer to the source of data generation, a concept known as Edge AI. This approach reduces latency, conserves bandwidth, and enhances data privacy and security. Central to enabling powerful Edge AI solutions are specialized hardware components, particularly AI accelerators. These devices are designed to efficiently process complex AI algorithms, making real-time inferencing possible in resource-constrained environments. Among the various form factors available, M.2 AI accelerators stand out for their compact size and versatile integration capabilities, fitting seamlessly into a wide range of devices from industrial PCs to embedded systems. This integration allows for robust AI capabilities without demanding significant physical space, thereby democratizing access to advanced AI processing...