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New Optical-Based Scale-Up Fabrics to Meet the Performance and TCO Requirements of Next-Generation AI/HPC Architectures
DescriptionAs large language models rapidly grow, compute demands have surged, generating staggering amounts of data and requiring high-speed data movement between AI accelerators, memory and storage. Conventional interconnects and optics fail to scale to the cost and throughput that AI/HPC systems will require, causing major bottlenecks, poor hardware use, higher power consumption, and increased costs. New connectivity solutions are needed for efficient, high-performance AI/HPC architectures.

In this session, Fujitsu will highlight current AI/HPC architecture challenges and future needs. Ayar Labs will present a chiplet-based optical I/O solution offering significantly better bandwidth, power efficiency, and latency compared to traditional methods. They will also share new analysis on how optical I/O improves system performance and total cost of ownership (TCO) for AI inference and training. Attendees will learn how these new optical fabrics meet the performance and TCO requirements of next-gen AI/HPC systems.