Pittsburgh Supercomputing Center
Highly Engaged Employees
Highly Engaged EmployeesBusiness Services · Pennsylvania, United States · 51-200 Employees
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Overview
Headquarters
300 S Craig St Rm 308, Pittsburgh, Penns...Phone Number
(412) 268-4960Website
www.psc.eduRevenue
$8.6 MillionIndustry
ZI Rank: 1
Signal Type
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ZI Rank
1
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About Pittsburgh Supercomputing Center
The Pittsburgh Supercomputing Center (PSC) is a joint computational research center affiliated with Carnegie Mellon University and the University of Pittsburgh, established in 1986. PSC provides advanced infrastructure and resources for computation-heavy research in areas such as data analytics, machine learning, biomolecular simulation, AI, and deep learning. Their flagship supercomputer, Bridges-2, facilitates transformative research opportunities and collaboration across various scientific domains. PSC aims to support researchers and scholars by expanding access to national cyberinfrastructure and fostering scientific discovery.Explore more
Pittsburgh Supercomputing Center Org Chart
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Revenue
Number of Employees
Type
Funding
Founded In
Pittsburgh Supercomputing...
$8.6M
51-200
Private
$9.7M
1986
TM
Tom MaidenDirector, Research Computing Support
Company Profile Activity
Activity Insights
Pittsburgh Supercomputing Center is experiencing very low activity levels compared to other companies in the Business Services sector.
What does this means?
Pittsburgh Supercomputing Center is drawing exceptional interest within the Business Services industry, suggesting notable developments or strong market momentum, learn more about Pittsburgh Supercomputing Center.
Pittsburgh Supercomputing Center financials insights
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2014
Grant
$9.7M
Pittsburgh Supercomputing Center Tech Stack
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Frequently Asked Questions Regarding Pittsburgh Supercomputing Center
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The Pittsburgh Supercomputing Center (PSC) is a joint computational research center affiliated with Carnegie Mellon University and the University of Pittsburgh, established in 1986. PSC provides advanced infrastructure and resources for computation-heavy research in areas such as data analytics, machine learning, biomolecular simulation, AI, and de... Read More
