Speaker
Description
From radio telescopes to particle accelerators and electron microscopes, scientific instruments produce tremendous amounts of data at equally high rates; previous architectures that have relied on offline storage and large data transfers are unable to keep up. The future of scientific discovery is interactive, streaming, and AI driven, placing the autonomous and intelligent instrument at the center of a given science workflow. By making our instruments smarter, scientists can run higher impact experiments.
In this tools-focused talk, we will highlight NVIDIA’s work with real-time data processing including high speed data movement, FPGA co-design, and laying the foundations for moving AI inferencing as close to the data converter as possible.