From large language models like ChatGPT to autonomous vehicles, generative AI, and high-resolution video analytics, AI is transforming nearly every industry at breakneck speed. But behind every intelligent model lies…

As edge AI continues to transform industries—from smart cities and autonomous vehicles to factory automation and remote monitoring—hardware architecture plays a crucial role in determining success. Developers are constantly faced…

If your product has to run fanless, on battery, on PoE, or inside an enclosure with no real thermal design margin, “under 15W” isn’t a nice-to-have — it’s the filter…

Every generative AI product roadmap eventually runs into the same question: how big does the model actually need to be? The instinct is often to reach for the largest model…

A bearing doesn’t fail suddenly. It fails gradually, over weeks or months, leaving a trail of small signals along the way — a vibration signature that shifts slightly, a motor…

Before you can decide how many cameras a platform can handle, there’s a more basic question worth answering first: does your traffic monitoring deployment actually need an AI box at…

As artificial intelligence continues to move closer to the edge, choosing the right AI accelerator hardware has become a mission-critical decision for engineers, product designers, and system integrators. Whether you’re…

Over the past two years, something big has changed in AI. Large language models (LLMs) and multimodal models (VLMs) are no longer trapped in massive data centers. Thanks to smarter…

  For the past decade, AI ran mostly in the cloud — models trained and served from data centers with constant connectivity and effectively unlimited compute. That’s no longer where…