Powering possibilities with Google Cloud Platform
Shape what’s next in research and education with the robust capabilities of Google’s Cloud technology.
Break boundaries with a platform that doesn't have any
Google Cloud Platform (GCP) 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.
Dependable security at scale
The vertically integrated security model, world-scale infrastructure, proprietary network and unique capability to innovate will help keep your organisation secure and support compliance.
Powerful data and analytics
Harness robust cloud features in big data and machine learning to find answers faster, build better products and fuel inspiring applications.
Open-sourced and open-minded
Being open sourced helps foster co-innovation, interoperability and portability integral to a future-proof architecture.
An innovative infrastructure built to perform
Utilising thousands of miles of fibre optic cable and advanced software-defined networking, Google’s global network delivers fast, consistent and scalable results.
Work without limits with Google Cloud Platform
From simulating the effects of climate change to training an algorithm to help better detect cancer cells to building applications faster than ever before – GCP is helping to transform the fields of research, teaching, learning and beyond.
Propel research with big data and breakthrough insights
With advanced analytics, machine learning services and APIs, transform data into valuable insights quickly and easily. From Preemptible Virtual Machines that can process large volumes of computations to Cloud ML Engine that can recognise patterns in data sets, move your learning forward with the help of the Cloud.
'Your whole outlook on research changes when you can ask a question and get an answer in hours rather than months.'
Andrew V. Sutherland, Computational Number Theorist and Principal Research Scientist, MIT
Develop without limits on this fully managed cloud data warehouse for analytics with built-in machine learning.
Bring the power and flexibility of TensorFlow to the cloud. Use Cloud ML Engine to train your machine learning models and get predictions.
Leverage a suite of machine learning products that enables developers with limited expertise to train high-quality models specific to their needs.
Build on a secure, scalable and modern infrastructure
GCP’s high-performance cloud storage and networking services open the door to new possibilities. Ask more questions, get answers faster and collaborate in real time with Cloud Storage, featuring advanced sharing capabilities and container management with Kubernetes.
'For the first time, any scientist anywhere in the world will be able to collaborate and perform analyses with data in a ‘common cloud.'
Dr. Stephen Scherer, Ph.D., D.Sc., MSSNG Program Director, FRSC
Integrate a secure and durable object storage solution into your apps with global edge-caching and single unified API.
Add monitoring and management for services, containers, applications and infrastructure.
Build on an efficient, scalable and secure production-ready environment for deploying containerised applications.
Innovate with fast and efficient automation
Define, operate and scale your applications at the speed of Cloud. With services such as App Engine featuring scalable back-ends and support for any programming language, Cloud Function's event-driven serverless computing, and powerful Cloud APIs stay focused on creating exceptional work.
'Google Cloud Platform is accelerating academic AI research.'
Yoichi Matsuyama, Post-Doctoral Fellow at the Language Technologies Institute
Build and scale applications on a fully managed platform without having to worry about managing the underlying infrastructure.
Scale with high-performance virtual machines running in Google's innovative data centres and worldwide fibre network.
Store and serve user-generated content, such as photos and videos, quickly and easily.
Discover how Google Cloud Platform transforms learning and research in universities
Google Cloud helped Manhattan College trigger a digital transformation to the cloud to better serve the needs of students, teaching staff and IT administrators affordably and effectively.
With Compute Engine and Preemptible Virtual Machines, Researchers at Northeastern ran more than 10 million Zika virus simulations reducing time to analyse data.
San José State University
SJSUs Computer Science Department supports independent learning with unlimited programming exercises for students, powered by Cloud.
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.