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adding more organizations to institutional faq
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@@ -55,6 +55,19 @@ industry, and governmental research labs. It is most-commonly used by two kinds
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* Large teams (e.g., a department, a large class, or a large group of remote users) to provide
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access to organizational hardware, data, and analytics environments at scale.
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Here are a sample of organizations that use JupyterHub:
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* **Universities and colleges**: UC Berkeley, UC San Diego, Cal Poly SLO, Harvard University, University of Chicago,
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University of Oslo, University of Sheffield, Université Paris Sud, University of Versailles
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* **Research laboratories**: NASA, NCAR, NOAA, the Large Synoptic Survey Telescope, Brookhaven National Lab,
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Minnesota Supercomputing Institute, ALCF, CERN, Lawrence Livermore National Laboratory
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* **Online communities**: Pangeo, Quantopian, mybinder.org, MathHub, Open Humans
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* **Computing infrastructure providers**: NERSC, San Diego Supercomputing Center, Compute Canada
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* **Companies**: Capital One, SANDVIK code, Globus
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See the [Gallery of JupyterHub deployments](../gallery-jhub-deployments.md) for
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a more complete list of JupyterHub deployments at institutions.
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## How does JupyterHub compare with hosted products, like Google Colaboratory, RStudio.cloud, or Anaconda Enterprise?
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JupyterHub puts you in control of your data, infrastructure, and coding environment.
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