The National Research Platform: Stretched, Multi-Tenant, Scientific Kubernetes Cluster

The National Research Platform (NRP) represents a distributed, multi-tenant Kubernetes-based cyberinfrastructure designed to facilitate collaborative scientific computing. Spanning over 75 locations in the U.S. and internationally, the NRP uniquely integrates varied computational resources, ranging from single nodes to extensive GPU and CPU clusters, to support diverse research workloads including advanced AI and machine learning tasks. It emphasizes flexibility through user-friendly interfaces such as JupyterHub and low level control of resources through direct Kubernetes interaction. Critical operational insights are discussed, including security enhancements using Kubernetes-integrated threat detection, extensive monitoring, and comprehensive accounting systems. This paper highlights the NRP's growing importance and scalability in addressing the increasing demands for distributed scientific computational resources.

Authors

Institutions

Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1145/3708035.3736060
Citations
3
Primary Topic
Innovation, Sustainability, Human-Machine Systems
Type
article
Field-Weighted Citation Impact
12.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The National Research Platform: Stretched, Multi-Tenant, Scientific Kubernetes Cluster

Thomas A. DeFanti, J. A. Graham, Huizhe Zhu, F. Würthwein et al.
3 citations
Innovation, Sustainability, Human-Machine Systems
12.60
article

The National Research Platform: Stretched, Multi-Tenant, Scientific Kubernetes Cluster

Thomas A. DeFanti, J. A. Graham, Huizhe Zhu, F. Würthwein, Mahidhar Tatineni, Larry Smarr, Derek Weitzel, Sam Albin, Dmitry Mishin, Ashton Graves, Elham Khoda, Mohammad Sada
article en
3 citations

Abstract

The National Research Platform (NRP) represents a distributed, multi-tenant Kubernetes-based cyberinfrastructure designed to facilitate collaborative scientific computing. Spanning over 75 locations in the U.S. and internationally, the NRP uniquely integrates varied computational resources, ranging from single nodes to extensive GPU and CPU clusters, to support diverse research workloads including advanced AI and machine learning tasks. It emphasizes flexibility through user-friendly interfaces such as JupyterHub and low level control of resources through direct Kubernetes interaction. Critical operational insights are discussed, including security enhancements using Kubernetes-integrated threat detection, extensive monitoring, and comprehensive accounting systems. This paper highlights the NRP's growing importance and scalability in addressing the increasing demands for distributed scientific computational resources.

University of Nebraska–Lincoln (US), San Diego Supercomputer Center (US), University of California San Diego (US)
National Science Foundation
Openalex Percentile: Top 2%
Innovation, Sustainability, Human-Machine Systems
12.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.