Anvil Notebook

The Anvil Notebook Service is a highly scalable, AI-enabled platform for web-based Jupyter notebooks. The service has access to 3rd generation AMD EPYC CPUs and NVIDIA H100 GPUs with support for dynamic allocation of portions of vRAM and GPU cores to notebook instances, making the service ideal for providing many concurrent interactive AI programming environments. Each notebook session is integrated with Jupyternaut, a generative AI tool that provides chat-based coding assistance to users from open-source models via AnvilGPT, or from commercial providers like OpenAI, Gemini and Anthropic. Note: Users are required to bring their own subscriptions and API keys for commercial providers. The Anvil Notebook Service is also fully integrated with the Anvil NAIRR HPC resource, providing the ability to submit Slurm jobs to Anvil’s batch system from within notebooks for additional access to GPUs and has access to various storage tiers such as home, project, and scratch. Users can create their own notebook images with custom software and use them on the platform as well as run custom software via containers (apptainer) inside a notebook session.

Jobs

This service is intended for classrooms that require Jupyter Notebook, Pluto Notebook, Julia, R, and generative AI needs supported by Anvil GPT or other AI platforms. Typical usage ranges from 2 to 16 CPU cores, 4 to 32 GB RAM and access to 1 to 4 GB GPU vRAM per notebook. Notebooks are not intended for resource intensive multi-node HPC or multi-GPU AI applications. Users can submit Slurm jobs to Anvil’s batch system if additional GPU access or other domain-specific scientific applications are required.

Software

No software usage data is currently reported for Anvil Notebook in XDMoD.

Datasets

Name	Description
AI	https://datasetdocs.readthedocs.io/en/latest/ai/index.html
Covariates	https://datasetdocs.readthedocs.io/en/latest/Covariates/index.html
Geospatial	https://datasetdocs.readthedocs.io/en/latest/geospatial/index.html
Hydrological	https://datasetdocs.readthedocs.io/en/latest/hydrological/index.html
Genomes	https://datasetdocs.readthedocs.io/en/latest/igenomes/index.html
Meteorological	https://datasetdocs.readthedocs.io/en/latest/meteorological/index.html
GeoAI	https://datasetdocs.readthedocs.io/en/latest/geoai/index.html

Storage

File System

Directory	Path	Purge	Notes
Anvil ZFS	/home	Not Purged	Home directories: area for storing personal software, scripts, compiling, editing, etc.
Anvil ZFS	/apps	Not purged	Applications
Anvil GPFS	/anvil
Anvil GPFS	/anvil/scratch	Files older than 30-day (access time) will be purged	User scratch: area for job I/O activity, temporary storage
Anvil GPFS	/anvil/projects	Removed 90 days after allocation expiration	Per allocation: area for shared data in a project, common datasets and software installation
Anvil GPFS	/anvil/datasets		Common data sets (not allocated to users)

External Storage

Files in scratch directories are not recoverable. Files in scratch directories are not backed up. If you accidentally delete a file, a disk crashes, or old files are purged, they cannot be restored.

$PROJECTspace. The project space will be created for each allocation. $PROJECT and $WORK variables refer to the same location and can be used interchangeably.

ANVIL CEPH

Anvil Ceph is intended to provide scalable, fault-tolerant, and high-throughput storage for large or persistent research data. It supports both object and block storage, making it suitable for hosting shared datasets, storing long-term research outputs, and enabling data access for containerized or cloud-integrated workflows. Ceph complements the Lustre-based storage tiers by offering durable and easily expandable storage for diverse data management needs.

Inspecting file system quotas

To check the quota of different file systems, type myquota at the command line.

For more information see the anvil user guide

https://docs.rcac.purdue.edu/userguides/anvil/file_management/