Wednesday, 09 March
15:30 – 17:00
In the mission to expand Machine Learning (ML) capabilities, system scaling/optimization and relieving key I/O bottlenecks become critical. The panel will discuss various architectures and approaches to scaling ML, and the potential role of optical technologies: from tighter integration, higher speed interfaces, to lower latency channels/compute. We will also discuss the overlap or bifurcation of these optical technologies for ML versus other high volume datacenter applications, and implications to cost and the industry as a whole.