Description:
The AI Supercomputer (NVIDIA DGX on-premises cluster) runs intensive machine learning and deep learning workloads. By requesting access to the system, users will be able to run Jupyter notebooks, JupyterLab, as well as Python scripts that are particularly GPU-intensive. Additionally, any of the available containers that are provided by NVIDIA on the DGC Cloud can be pulled and used with the system.
Features:
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24 NVIDIA DGX A100 systems (each with 8 NVIDIA A100 GPUs)
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3 Lambda scalers (each with 8 NVIDIA L40s)
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Over 5 petabytes of NetApp storage (1.66 petabytes of all flash performance storage and about 3.75 petabytes of additional capacity storage for research)