Developing Sustainable Edge AI Products for the Real World

For edge AI systems to succeed in the real world, they must be adaptable. They must adapt as customer requirements change, as their environments evolve and as AI techniques advance. Creating adaptable edge AI systems requires a holistic approach that encompasses efficient deep neural network inference and tools and techniques that enable effective testing, deployment and management of the edge AI device over its entire life cycle. This talk will explore this holistic approach and show how Blaize enables developers to create adaptable, sustainable products for a diverse range of applications. We’ll introduce the Blaize Pathfinder and Blaize Xplorer accelerators, Blaize AI Studio (a code-free development environment), and Blaize Picasso SDK (a traditional software development kit for experienced engineers who want to get under the hood and customize their AI solutions). And, we’ll show how these innovative offerings help quickly take edge AI products from idea to production.