Over the past several years, National Labs and supercomputing centers across the globe have been tinkering with AI testbed systems for scientific and machine learning workloads. These novel AI hardware platforms have been applied to tackle tasks like Covid simulations, computational fluid dynamics, and ultra-high-resolution computer vision for enabling digital twins.

But are these systems set to enter production — and if so, how? What do the systems enable in terms of HPC-powered research that wasn't possible before? What are these systems' limitations, and what new opportunities await?

Tune in to a panel of leaders in scientific supercomputing, interviewed by HPCwire, as they address the future of cutting-edge AI hardware in the HPC space.