AI is moving beyond screens into the real world, powering physical systems that observe, decide, and act—reshaping roads, workplaces, healthcare, safety, and everyday life through human-centered intelligence.
This blog explores the GPU ecosystem for AI, detailing NVIDIA hardware, CUDA, cuDNN, and system setup—equipping developers to harness GPU parallelism for faster, efficient, and scalable AI model training.