# mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations

arXiv: https://arxiv.org/abs/2203.14188 · HTML: https://mlsanity.com/paper/2203.14188/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 29 references that are in the map.
- First posted on arXiv 27 Mar 2022.

## Built on by (most cited first, 8 of 8)

- [LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs](https://mlsanity.com/paper/2407.03963/) (2024)
- [Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality](https://mlsanity.com/paper/2506.14681/) (2025)
- [JBBQ: Japanese Bias Benchmark for Analyzing Social Biases in Large Language Models](https://mlsanity.com/paper/2406.02050/) (2024)
- [Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning](https://mlsanity.com/paper/2411.16155/) (2024)
- [Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective](https://mlsanity.com/paper/2506.12327/) (2025)
- [Small Object Detection for Birds with Swin Transformer](https://mlsanity.com/paper/2511.22310/) (2025)
- [Synth-JDoc: Synthesizing a Japanese Document Image Dataset for OCR with Diverse Layouts and Embedded Images](https://mlsanity.com/paper/2608.28248/) (2026)
- [Synthetic Pre-pretraining Survives Scale, but Not as a Grammatical Prior](https://mlsanity.com/paper/2609.39827/) (2026)

## Abstract (arXiv)

The growing amount of data and advances in data science have created a need for a new kind of cloud platform that provides users with flexibility, strong security, and the ability to couple with supercomputers and edge devices through high-performance networks. We have built such a nation-wide cloud platform, called "mdx" to meet this need. The mdx platform's virtualization service, jointly operated by 9 national universities and 2 national research institutes in Japan, launched in 2021, and more features are in development. Currently mdx is used by researchers in a wide variety of domains, including materials informatics, geo-spatial information science, life science, astronomical science, economics, social science, and computer science. This paper provides an the overview of the mdx platform, details the motivation for its development, reports its current status, and outlines its future plans.