Webinar: Meeting the Bandwidth Demands of Next-Gen HPC & AI System Architectures
In artificial intelligence (AI), increasingly complex algorithms, larger datasets, and process-intensive workloads lend to an insatiable demand for compute, memory, and storage, as well as higher-bandwidth, lower-latency communication between these components. Conversational AI, recommender systems, and computer vision are becoming increasingly prevalent, with new system architectures being explored to enable AI models with hundreds of trillions of parameters, and power supercomputers beyond exascale. These advances are bringing new challenges as the physical limitations of standard electrical interconnects are nearing the point of diminishing returns. Performance and efficiency losses from memory capacity limitations, network bottlenecks and stranded resources are being amplified at scale, creating a need for new system architectures to handle ever-growing, performance-intensive workloads.
In this panel discussion, we will hear from leading experts exploring innovative system designs and solutions for AI/HPC to address these challenges and unlock greater value from research, science, and business initiatives. Join this webinar to explore what these pioneers are learning as they define and develop new architectures and drive computing to the next level of performance.
- Moderator: Nicole Hemsoth, Deputy Editor in Chief, Situation Publishing & Co-Founder, The Next Platform
- Dr. Vladimir Stojanovic, Co-Founder and Chief Architect at Ayar Labs
- Christopher Long, Chief Architect, Liqid
- Simon (Si) Hammond, Federal Program Manager, National Nuclear Security Administration (NNSA)
- Alex Ishii, Distinguished Architect, NVIDIA