Rethinking AI: From Silicon to Systems, Built for Efficiency
AMD, April 29,2026
AMD and Liquid AI leaders discuss how efficient AI architecture enables scalable intelligence across PCs, devices, and the edge.
AMD CTO Mark Papermaster and Liquid AI CEO Ramin Hasani explore how the next era of AI will be defined by efficiency rather than model size alone. They discuss moving beyond cloud-only AI to enable intelligence on edge devices and PCs through compact, specialized models optimized for NPUs and other processors.
The conversation covers the shift from reactive AI assistants to proactive agents that run locally and offline, while highlighting the sustainability imperative of efficient AI deployment. Both leaders emphasize that end-to-end optimization from silicon to software is essential for building scalable, sustainable AI systems that can democratize intelligence across billions of devices globally.