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Available GPUs on NeSI

NeSI has a range of Graphical Processing Units (GPUs) to accelerate compute-intensive research and support more analysis at scale. Depending on the type of GPU, you can access them in different ways, such as via batch scheduler (Slurm), interactively (using Jupyter on NeSI), or Virtual Machines (VMs).

The table below outlines the different types of GPUs, who can access them and how, and whether they are currently available or on the future roadmap.

If you have any questions about GPUs on NeSI or the status of anything listed in the table, Contact our Support Team.

GPGPU	Purpose	Location	Access mode	Who can access	Status
9 NVIDIA Tesla P100 PCIe 12GB cards (1 node with 1 GPU, 4 nodes with 2 GPUs)		Mahuika	Slurm and Jupyter	NeSI users	Currently available
7 NVIDIA A100 PCIe 40GB cards (4 nodes with 1 GPU, 2 nodes with 2 GPUs)	Machine Learning (ML) applications	Mahuika	Slurm	NeSI users	Currently available
7 A100-1g.5gb instances (1 NVIDIA A100 PCIe 40GB card divided into 7 MIG GPU slices with 5GB memory each)	Development and debugging	Mahuika	Slurm and Jupyter	NeSI users	Currently available
5 NVIDIA Tesla P100 PCIe 12GB (5 nodes with 1 GPU)	Post-processing	Māui Ancil	Slurm	NeSI users	Currently available
4 NVIDIA HGX A100 (4 GPUs per board with 80GB memory each, 16 A100 GPUs in total)	Large-scale Machine Learning (ML) applications	Mahuika	Slurm	NeSI users	Available as part of the Milan Compute Nodes
4 NVIDIA A40 with 48GB memory each (2 nodes with 2 GPUs, but capacity for 6 additional GPUs already in place)	Teaching / training	Flexible HPC	Jupyter, VM, or bare metal tenancy possible (flexible)	Open to conversations with groups who could benefit from these	In development.