To advance research and scholarship by providing access to high-end computing, training, and advanced technical support in an inclusive community at Stanford Earth.
Computational resources that are available to the Stanford Doerr School of Sustainability research community include cluster-computing, interactive compute nodes, GPU computation, memory-intensive nodes, data storage, and more. See examples below:
- Sherlock HPC, SERC partition (144 nodes, 5744 compute cores, 56 V/A100 GPUs, up to 1TB memory)
- Sherlock (University) HPC cluster
- Mazama HPC and “Tool-Servers” (~150 nodes, 8V100 GPUs)
- Cloud Compute Resources (e.g. Google Earth Engine & Cloud Platform)
- 1 PB+ Oak storage