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index.html
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---
layout: splash
permalink: /
header:
overlay_color: "#5e616c"
overlay_image: /assets/images/features.png
cta_label: "Get Started in 10 Minutes
"
cta_url: "https://mdio-python.readthedocs.io/en/latest/notebooks/quickstart.html"
caption: ''
excerpt: 'Open source cloud-native energy data storage architecture for AI, ML, and HPC workflows'
feature_row:
- image_path: '/assets/images/cloud.png'
alt: "Cloud-native, chunked, and compressed"
title: "Cloud-native, chunked and compressed"
excerpt: "<ul>
<li>Significant reduction in cloud storage and processing costs</li>
<li>Easier to process spatially adjacent information</li>
</ul>"
#url: "#"
#btn_label: "Learn More"
- image_path: '/assets/images/fast.png'
alt: "Fast random access, de-coupled metadata"
title: "Fast random access, de-coupled metadata"
excerpt: "<ul>
<li>Reduced data sizes</li>
<li>Easy to add other compression schemes</li>
<li>Optimization ready for web visualization or scientific computing</li>
</ul>"
#url: "/docs/layouts/"
#btn_label: "Learn More"
- image_path: '/assets/images/optimized.png'
alt: "Optimized for distributed computing and ML"
title: "Optimized for distributed computing and ML"
excerpt: "<ul>
<li>Support for massively parallel compute through open source software ecosystem</li>
<li>Ideal for patch extraction for deep learning</li>
</ul>"
#url: "/docs/license/"
#btn_label: "Learn More"
---
Built on top of <a href="https://zarr.dev/" target="_blank">Zarr</a>, MDIO is an essential enabler in the energy data space for quickly accessing and disseminating data on the cloud. This new fully open-source format, and associated algorithms, have been specifically designed to support the storage and manipulation of multidimensional datasets, including seismic and wind modeling data. MDIO allows for innovative growth in a wide variety of applications, including seismic and renewable energy solutions, and the algorithms' continued evolution to benefit other industry sectors.
{% include feature_row id="intro" type="center" %}
{% include feature_row %}