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

arXiv: https://arxiv.org/abs/2505.22864 · HTML: https://mlsanity.com/paper/2505.22864/

## Key facts

- Cited by 17 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 May 2025.

## Built on by (most cited first, 17 of 17)

- [QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation](https://mlsanity.com/paper/2512.19134/) (2025)
- [Expert-Guided Explainable Few-Shot Learning for Medical Image Diagnosis](https://mlsanity.com/paper/2509.08007/) (2025)
- [Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness](https://mlsanity.com/paper/2510.16171/) (2025)
- [RINO: Renormalization Group Invariance with No Labels](https://mlsanity.com/paper/2509.07486/) (2025)
- [What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels](https://mlsanity.com/paper/2512.16832/) (2025)
- [Expert-Guided Explainable Few-Shot Learning with Active Sample Selection for Medical Image Analysis](https://mlsanity.com/paper/2601.02409/) (2026)
- [jBOT: Semantic Jet Representation Clustering Emerges from Self-Distillation](https://mlsanity.com/paper/2601.11719/) (2026)
- [Serving LLMs in HPC Clusters: A Comparative Study of Qualcomm Cloud AI 100 Ultra and NVIDIA Data Center GPUs](https://mlsanity.com/paper/2507.00418/) (2025)
- [Explainable Novel Category Discovery in Semantic Concept Space](https://mlsanity.com/paper/2607.04548/) (2026)
- [SparsePixels: Efficient Convolution for Sparse Data on FPGAs](https://mlsanity.com/paper/2512.06208/) (2025)
- [MechAInistic: An LLM-guided Multi-Agent System for Reasoning over Genome-Scale Constraint-Based Metabolic Models](https://mlsanity.com/paper/2607.18249/) (2026)
- [Data Fusion and Contrastive Alignment for Unconstrained IR Molecular Structure Elucidation](https://mlsanity.com/paper/2607.26164/) (2026)
- [BuzzASR: A Swarm of 100+ Monolingual Speech Recognition Models](https://mlsanity.com/paper/2609.09554/) (2026)
- [LLMs or Naive Bayes? Old Gems or New Ways](https://mlsanity.com/paper/2609.13185/) (2026)
- [Self-Supervised Learning for Robust Resonance Mass Regression in Cascade Decays](https://mlsanity.com/paper/2609.17726/) (2026)
- [Similarity Pairing with Energy Mover's Distance for Self-Supervised Pre-Training at the LHC](https://mlsanity.com/paper/2609.17738/) (2026)
- [Relational Attention for Data-Efficient Language Modeling](https://mlsanity.com/paper/2609.20530/) (2026)

## Abstract (arXiv)

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.
