DSA Container Images

Please only use the container assigned for your course or approved by your instructor. Failing to do this may compromise resources for other students.

If your are running into resource issues, make sure you are following the advice in Jupyter Server Memory Issues. If this problem persists or is common to students in your course, raise the issue with your instructor. The sysadmin adjusts container resources in conjunction with the instructor and considering system-wide needs.

Each container has specific libraries installed. You can list those libraries with the following two commands in the terminal. Together these two commands will list all the packages. It depends on what was used to install the packages when creating the image.

pip list
conda list # Note: R packages will be prepended with r- before the package name

Another way to list only R packages is from an R notebook, running this code:

my_packages <- as.data.frame(installed.packages()[ , c(1, 3:4)])           
my_packages <- my_packages[is.na(my_packages$Priority), 1:2, drop = FALSE] 
rownames(my_packages) <- NULL
print(my_packages, n = "all")

Note:

The Data Science - Database container max memory is adjusted during the course per the instructor's direction, to aid teaching big data concepts.
The GEO-AI-GPU container is limited to specific users.
The GPUs have 20G memory.

As of November 2025, the following containers are available with the specified resources.

Container	Memory Guarantee	Memory Max	CPU Guarantee	CPU Max	GPU Guarantee	GPU Max
Data Science - Core	2G	6G	0.5	4	NA	NA
Data Science – R DataViz	2G	8G	0.5	4	NA	NA
NLP	4G	16G	0.5	4	NA	NA
Data Science – Database	2G	4G *	0.5	4	NA	NA
Data Science – Stat Math	4G	8G	1	2	NA	NA
Data Science – DMIR	4G	8G	0.5	4	NA	NA
Data Science – GeoData	4G	32G	0.5	4	NA	NA
DataScience – Data Journalism	2G	7G	0.5	4	NA	NA
Data Science – AWS	2G	4G	1	2	NA	NA
Data Science – GCP	2G	4G	1	2	NA	NA
Alllspark	2G	4G	1	2	NA	NA
Tensorflow – CPU	2G	12G	0.5	4	NA	NA
PyTorch – CPU	2G	6G	0.5	4	NA	NA
Genomics 2	2G	6G	0.5	4	NA	NA
CaseStudy-Capstone	8G	32G	1	4	NA	NA
DSP	2G	16G	0.5	4	NA	NA
Minimal	2G	6G	0.5	4	NA	NA
GEO-AI-GPU*	none	48G	0.5	4	1	1

Need more information or help? Reach out to us at 📧 jcwdw@missouri.edu