Tuesday, October 29, 2024

What hardware does AI/ML development require? CPU, GPU, NPU, or TPU Oh My!!

The task of leveraging AI to perform real-world workloads and not just some fancy project for show and tell can be daunting.  You first have to answer your WHY?  Why do I need to use AI? I there a less complicated, cost, and resource intensive technology that will do the job?  Then you have to answer your WHAT?  What software, hardware and platforms will I use.  You decide to use Google Cloud Platform Vertex AI, Big Query ML and Vertex Workbenches.  However, when you go to build your workbench endpoint, you ralize so many processor options.  You shut your machine down and go home to sleep on it for the night.  I have published my first book, "What Everone Should Know about the Rise of AI" is live now on google play books at Google Play Books and Audio, check back with us at https://theapibook.com for the print versions, go to Barnes and Noble at Barnes and Noble Print Books!

Check out this Google Notebook LM podcast based on this blogpost!



After falling a sleep, you have a dream of about the Wizard of Oz and your Dorthy (or Doug) and your about to embark down that faitful trail called the Yellow Brick Road!  As the munchkins sing, "Follow the yellow brick road...."

And your dream picks up here:  Once upon a time, in a world not so different from ours, Dorothy, the intrepid CPU, embarked on a journey down the Yellow Brick Road of Advanced Computing. This wasn’t any ordinary path but a winding, electrified trail through the land of AI and machine learning, where Dorothy and her friends each played a crucial role in bringing complex systems to life.

With her heart set on orchestrating harmony in this strange land, Dorothy soon met the Scarecrow, who was a little disjointed and scatterbrained, but oh, did he know how to multiply! As the GPU, the Scarecrow was brilliant at performing thousands of tasks simultaneously. He was quick and agile, perfect for those moments when Dorothy needed the same calculation done across many nodes at once. Scarecrow specialized in taking data and breaking it down into neat, manageable parts, transforming pixels and points of data into clear, useful images. With each step on the Yellow Brick Road, Scarecrow helped Dorothy by handling massive amounts of visual information, turning them into scenes they could actually understand.

As they wandered further, Dorothy and Scarecrow found themselves face-to-face with the Tin Man, gleaming and ready to join their quest. This was no ordinary Tin Man; he was the NPU, built specifically for tasks involving artificial neural networks. Tin Man wasn’t just shiny and efficient; he was optimized for the kind of quick, precise computations that AI thrived on. In mobile scenarios or places where energy was limited, Tin Man could turn his own heart’s power down just enough to keep going without losing a beat. He helped by running the critical AI models they needed for real-time responses and decision-making, without burning out. For every challenge they faced on the road, Tin Man could adjust his power, never faltering, always efficient.

The trio trudged along, soon hearing a mighty roar. Out from the shadows sprang the Lion—or rather, the TPU, an incredibly brave and powerful beast. The Lion wasn’t just any processor; he was crafted with specialized tensor processing muscles, built to handle large-scale machine learning models with ease. With his bravery, the Lion took on the most difficult tasks, crunching through dense layers of data to improve the entire system’s performance. Whether training large language models or recalibrating neural networks, Lion tackled it all with courage, bringing strength to their combined efforts.

Together, the four friends faced their final challenge: powering a fleet of autonomous drones. Dorothy directed the high-level decision-making, guiding the drones in real-time. She kept an eye on their mission, processing variables like weather and priority routes to get each package delivered safely. Scarecrow stepped in, analyzing video feeds from each drone’s cameras, identifying obstacles and scanning for landing zones, using his thousand-fold multitasking abilities to make sense of everything at once. Tin Man, the NPU, processed sensor data and adjusted flight paths in real-time, helping the drones maneuver with elegance and precision while conserving their energy. Meanwhile, Lion took his place in the cloud, continually training the drones’ models, learning from each journey to improve safety and efficiency for the entire fleet.

The journey down the Yellow Brick Road showed Dorothy and her friends how each could contribute their unique strengths to build something extraordinary. Together, they became a digital symphony, proving that only in harmony could they achieve feats they never dreamed possible. And as they continued down the road, new wonders awaited them, just beyond the horizon.

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