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    <h2> Cloud Computing </h2>
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    <p>CAC was an early adopter of cloud technologies. Lessons learned helped us design and deploy one of the nation's first campus cloud services called <a href="../services/cloudServices.aspx">Red Cloud</a>. Cornell researchers use Red Cloud to
      reduce time to science and our consultants create cloud images to facilitate model analyses such as <a href="/about/studies/SimulatingCarbonCyclingEnzymes.pdf">simulating carbon-cycling enzymes</a>.</p>
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    and research portals. Users have access to dedicated rather than oversubscribed CPU
     and RAM, and there is no charge for network traffic. These features, along with Nvidia GPUs,
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    <address>Steven Lee</address>
    <address>Systems Consultant</address>
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Cornell University Center for Advanced Computing (CAC)
SEARCH:
CAC Cornell
 * Home
 * About
 * Clients
 * Services
 * Technologies
 * TechDocs
 * Training
 * Events
 * I-WRF

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TECHNOLOGIES


CAC


WE ENABLE YOUR SUCCESS

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 * Overview
 * AI/ML
 * Cloud Computing
 * Data Management
 * Web Services
 * Technology Links

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CLOUD COMPUTING


CLOUD SERVICES



CAC was an early adopter of cloud technologies. Lessons learned helped us design
and deploy one of the nation's first campus cloud services called Red Cloud.
Cornell researchers use Red Cloud to reduce time to science and our consultants
create cloud images to facilitate model analyses such as simulating
carbon-cycling enzymes.

Red Cloud delivers on-demand elasticity for science and engineering applications
and research portals. Users have access to dedicated rather than oversubscribed
CPU and RAM, and there is no charge for network traffic. These features, along
with Nvidia GPUs, are especially appealing to researchers.

Steven Lee Systems Consultant


CLOUD TRAINING

CAC developed cloud computing training for the national research community as a
collaborator on the NSF-funded Jetstream project and is currently developing
Cornell Virtual Workshop modules for Jetstream 2.


FEDERATED CLOUDS

With NSF support, CAC built a federated cloud model for large-scale data
analysis known as the Aristotle Cloud Federation. CAC also enhanced its
knowledge and skills in the development of cloud-ready research applications and
the use of self-scaling and reproducible clusters. 15 REUs have participated in
the Aristotle project.

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