Expanse GPU has 52 nodes with four NVIDIA V100s (32 GB each) linked by NVLink. Suits multi-GPU AI/ML training and other workloads that scale across GPUs.
Jobs
GPU nodes are allocated as a separate resource. The GPU nodes can be accessed via either the "gpu" or the "gpu-shared" partitions.
#SBATCH -p gpu
or
#SBATCH -p gpu-shared
When users request 1 GPU, in gpu-shared partition, by default they will also receive, 1 CPU, and 1G memory.
For more information and example job scripts see the Expanse User Guide
https://www.sdsc.edu/systems/expanse/user_guide.html#narrow-wysiwyg-7
The charging equation will be:
GPU SUs = (Number of GPUs) x (wall clock time)
Regular SUs = (Number of Cores) x (wall clock time)
Queue specifications
Metrics updated 2026-06-16
| Name | Purpose | Nodes | CPU cores / node | GPUs / node | Node RAM | Jobs
30 days
|
Wait Time
30-day trend
|
Wall Time
30-day trend
|
|---|---|---|---|---|---|---|---|---|
| gpu | Used for exclusive access to the GPU nodes | 56 | Xeon Gold 6248 (40 cores) | 4 NVIDIA V100 SXM2 (32 GB vRAM) | 384 GB | 643 |
|
|
| gpu-debug | Priority access to gpu-shared nodes set aside for testing of jobs with short wall time and limited resources; max two gpus per job | 2 | Xeon Gold 6248 (40 cores) | 4 NVIDIA V100 SXM2 (32 GB vRAM) | 384 GB | 554 |
|
|
| gpu-shared | Non-refundable discounted jobs to run on unallocated nodes that can be pre-empted by higher priority queues | 56 | Xeon Gold 6248 (40 cores) | 4 NVIDIA V100 SXM2 (32 GB vRAM) | 384 GB | 11,196 |
|
|
| nairr-gpu | Expanse AI resource using compute with Nvidia GPUs | 34 | 2 Intel Sapphire Road processors (36 cores) | 4 Nvidia H100 (80 GB vRAM) | 1 TB | — | — | — |
Datasets
| Name | Description |
|---|---|
| OceanTopography | OpenTopography provides efficient, user-friendly access to high-resolution topography data, processing tools, and resources to advance understanding of the Earth's surface, vegetation, and built environment. |
| OpenAltimetry | OpenAltimetry is a web based data visualization and discovery tool for exploring surface elevation profiles over time using satellite altimetry data from NASA's ICESat and ICESat-2 missions. |
| OpenForest4D | OpenForest4D is a web-based platform that leverages multi-source remote sensing data and artificial intelligence to generate on-demand, research-grade estimates of forest structure and above-ground biomass in four dimensions for global forest monitoring. |
Storage
File System
| Directory | Path | Quota | Purge | Backup | Notes |
|---|---|---|---|---|---|
| Scratch Lustre | /expanse/lustre/scratch | 10 TB | 90 days after allocation expiration. | No backups stored. | This is not an archival file system, it is not backed up, and will be purged according to purge policy. |
| Scratch GPU Node | /scratch/$USER/job_$SLURM_JOB_ID | 1600 GB | Users only have access to these SSDs during job execution at the local file system path to the gpu node. | ||
| Home | /home | 100 GB | 8 week rolling backup | The home directory is limited in space and should be used only for source code storage. Jobs should never be run from the home file system, as it is not set up for high performance throughput. |
External Storage
In addition to the local scratch storage, users will have access to global parallel filesystems on Expanse. Every Expanse node has access to a 12 PB Lustre parallel file system and a 7 PB Ceph Object Store system, 140 GB/second performance storage. For more information on this see the Expanse User Guide - https://www.sdsc.edu/systems/expanse/user_guide.html#narrow-wysiwyg-10
File Transfer
Data transfer on expanse is done through Globus
For more information on data transfer see the Expanse User Guide
https://www.sdsc.edu/systems/expanse/user_guide.html#narrow-wysiwyg-9
| Supported Methods | Data Transfer Node | URL |
|---|---|---|
| GLOBUS | /expanse/projects |
Login to Expanse GPU
2FA/MFA required for login
- Users can use their ACCESS account to receive an allocation and login.
- Logging into your ACCESS account will require Duo two-factor authentication.
For more information about logging into Expanse see the user guide
https://www.sdsc.edu/systems/expanse/user_guide.html#narrow-wysiwyg-2
SSH Login
$ ssh <your_username>@login.expanse.sdsc.edu