Toronto, North America
The Non-degree in Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster at Google Cloud is a program for international students taught in English.
Google Cloud is a public, private cloud computing services provider that offers a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube. Google Cloud, a subsidiary of Alphabet Inc., was officially launched in 2008. It is renowned for its innovative technologies, including data analytics, machine learning, and artificial intelligence, as well as its global network infrastructure, which ensures low latency and high availability. Google Cloud distinguishes itself with its commitment to sustainability, operating the cleanest cloud in the industry with the largest corporate purchase of renewable energy.
This is a self-paced lab that takes place in the Google Cloud console.In this lab, you create a complete turn-key High Performance Computing (HPC) environment in Google Cloud. This environment will provide the familiar look and feel of on-prem HPC systems but with the added elasticity and scalability of Google Cloud.In this lab you see how CloudyCluster can easily create HPC/HTC jobs that will run on-prem or in CloudyCluster on Google Cloud. You can rely on the familiar look and feel of a standard HPC environment while embracing the capabilities and elasticity of Google Cloud. The HPC jobs can be easily configured to support many instance types including GPU, preemptible, and any number of memory & CPU configurations. You will always have the latest computational technology at your fingertips.With CloudyCluster, users can now take advantage of the GUI developed by Open OnDemand. In this lab you will be able to experience many of the Open OnDemand HPC tools. Upload and download files with a file browser-like interface. Draft job scripts with the built-in web editor. Spin-up new computing instances and have them tear down automatically after your specified work window. The current release includes JupyterLab via JupyterHub and Cloudy desktop capabilities.As part of Google Cloud and CloudyCluster you have a vast array of storage technologies available to you. In this lab you will take advantage of High Performance Parallel Storage for job execution.
Google Cloud provides a range of services including computing, data storage, data analytics, and machine learning. It offers tools like Google Cloud Platform (GCP), which provides a robust environment for developers to build, test, and deploy applications. Additionally, Google Cloud includes G Suite (now known as Google Workspace), a collection of productivity and collaboration tools such as Gmail, Docs, Drive, and Calendar. Google Cloud is designed to provide organizations with the tools they need to drive innovation, improve operational efficiency, and scale their services securely and reliably. Its client base spans various industries, including financial services, healthcare, retail, and education.
Application Fee
$0 USD
$0 USD
Tuition Fee
$49 USD
$49 USD
per year
All students from all countries are eligible to apply to this program.
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Application Fee
$0 USD
Service Fee
$0 USD
Tuition
49
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