Energy Efficient Photonic Interconnects for AI Scale Up

Learn about next-generation optical interconnection technologies designed to support the massive data transfer requirements of large-scale AI systems in this conference presentation. Explore how the rapid evolution of artificial intelligence is driving the need for larger, highly interconnected clusters that require efficient data shuffling between compute elements. Discover the key metrics that hyperscalers have identified for next-generation scale-up links, including cost effectiveness, low latency, high density, and energy efficiency. Examine various approaches for creating optical interconnections between local compute elements with sufficient radix to facilitate data transfers in emerging AI systems. Analyze the benefits, considerations, and challenges associated with different end-to-end link solutions as presented by Jeffrey Hutchins from Ranovus's CTO Office, who specializes in optical technologies and addresses the critical infrastructure needs for AI scale-up applications.