Dive into the hidden engine powering today’s AI revolution—the silicon chips that make intelligent machines possible. From the dawn of semiconductor design to the cutting-edge accelerators of today, this book unpacks the remarkable journey of chip technology and its critical role in artificial intelligence.

Explore the meteoric rise of Nvidia, whose GPUs became the go-to hardware for AI training and inference. Discover how CUDA, their proprietary development platform, transformed the field by giving developers unprecedented control and performance.

Compare Tensor Processing Units (TPUs)—Google’s purpose-built AI hardware—with traditional GPUs, and learn how each shapes different AI workloads. Go behind the scenes of Google's Ironwood, the latest AI accelerator poised to push the limits of performance.

Get an insider’s look at Amazon’s Trainium, Inferentia, and Graviton processors, engineered for AI training and inference at scale on AWS. See how Microsoft’s Azure integrates its Maia 100 chip to compete in the cloud-based AI arms race.

The story continues with Apple Silicon (M1, M2, M3), which revolutionized mobile and edge AI by combining high performance with energy efficiency. Learn why low-power inference is vital for running generative AI models on smartphones, AR glasses, and other edge devices.

Finally, peer into the future with a glimpse at quantum computing and neuromorphic chips, and what they could mean for the next wave of intelligent machines.

Whether you’re a tech enthusiast, developer, or simply curious about the hardware behind AI, this book is your essential guide to the chips driving our intelligent future.