#  HEAVY.AI 

 



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HEAVY.AI is a GPU-accelerated database offering rapid analytics and visualization on billions of records, including geospatial and time series data. It is ideal for tasks requiring real-time analysis of GIS big data using GPU databases.

(Fun fact: HEAVY.AI started at CGA when then graduate student [Todd Mostak and Ben Lewis built the first version of the GPU database](https://www.heavy.ai/blog/rejoining-forces-a-new-old-partnership-with-the-harvard-center-for-geographic-analysis), then called GEOPS and later called MapD, in 2012 while [starting the Geotweet Archive](https://cmes.fas.harvard.edu/news/cmes-am-graduate-explores-power-twitter-big-data).)  
  
**Using Heavy on NERC**: Heavy.ai can be launched easily and effectively on NERC using our server snapshot.  
  
**Use-Cases/ Publications**:

- Jain D., [Billion Object Platform](https://sc22.mghpcc.org/project/billion-object-platform/), Massachusetts Green High Performance Computing Center (MGHPCC), SC '22.
- Jain, D., Blossom, J., Wang, H. [Digitalizing Journalist Paul Salopek’s decade-long walk of 24,000-mile odyssey](https://www.youtube.com/watch?v=3uJuulpCWNk). National Geographic Case Study, 2024.
- Kakkar, D., Lewis, B., Smiley, D., & Nunez, A. (2017). [The Billion Object Platform (BOP): A system to lower barriers to support big, streaming, spatio-temporal data sources](https://doi.org/10.7275/R5ST7N0G). OSGeo Journal, 17(1), 113–122.



 



 



 

 See also:- [ Basic ](/page-type/basic)