The Leadership-Class Computing Facility is expected to be operational in 2026 and will house a supercomputer that’s expected to improve simulation and AI research.
ESnet6 increases the Energy Science Network's bandwidth to more than 46 terabits per second for handling data from experiments, models and simulations.
The NVIDIA DGX A100 cluster consists of 24 nodes for 120 petaflops of compute power, making it the fastest "AI supercomputer" at the consortium's disposal.