- Get support for academic research
Turn bold ideas into new discoveries with easier access to Google Cloud through our agreements with GÉANT, NSF, and NIH. Learn more
- Advance your student success and infrastructure with Google Cloud and Internet2
Internet2 members get special benefits when powering their projects with Google Cloud including discounted pricing, deployment, training, and more. Learn more
Explore Cloud solutions that help transform classrooms and campuses
Google Cloud cuts through complexity and offers solutions for your storage, analytics, big data, machine learning, and application development needs. And with training and resources from Google, you can get started with greater confidence.
Propel research with big data and breakthrough insights
With advanced analytics, machine learning services, and APIs, researchers can transform data into valuable insights quickly and easily and move from bold ideas to big discoveries. Speed up analysis from days to minutes and empower seamless collaboration across institutions.
A comprehensive security management and data risk platform makes it easier for you to prevent, detect, and respond to threats.
Deploying 'Irving' using Google Cloud and Dialogflow has not only helped students get answers quicker, it’s also freed up University staff to focus on helping students with greater needs along their journey to complete their degree.
Joe Schaefer, Chief Technology and Innovation Officer, Strayer University
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Manhattan College
Google Cloud helped Manhattan College trigger a digital transformation to the cloud to better serve the needs of students, faculty, and IT administrators affordably and effectively.
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Northeastern University
With Compute Engine and Preemptible Virtual Machines, Researchers at Northeastern ran more than 10 million Zika virus simulations reducing time to analyze data.
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San José State University
SJSUs Computer Science Department supports independent learning with unlimited programming exercises for students, powered by Cloud.
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MIT University
One MIT professor pushes computing limits with the largest cluster ever built in the public cloud—300 core-years of compute time for just $20,000.