JUWELS Booster -- A Supercomputer for Large-Scale AI Research
This provides a new computational facility for researchers in various scientific fields requiring large-scale AI capabilities, but it is incremental as it focuses on hardware deployment rather than novel AI methods.
The paper introduces JUWELS Booster, a high-performance computing system designed for large-scale AI research, detailing its architecture and benchmarks that demonstrate outstanding performance for distributed model training.
In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the Jülich Supercomputing Center. With its system architecture, most importantly its large number of powerful Graphics Processing Units (GPUs) and its fast interconnect via InfiniBand, it is an ideal machine for large-scale Artificial Intelligence (AI) research and applications. We detail its system architecture, parallel, distributed model training, and benchmarks indicating its outstanding performance. We exemplify its potential for research application by presenting large-scale AI research highlights from various scientific fields that require such a facility.