DeepSense Documentation

Attention! We are reconstructing our wiki pages to update all the amazing cloud computing resources we are offering to our users. We are sorry that the pages are messy during the reconstruction. We will keep you updated. Stay tuned...

Welcome to the DeepSense technical cloud documentation wiki. This is the primary source for users with questions on the DeepSense cloud equipment and services. DeepSense uses cloud services from various cloud vendors for the development of AI projects. You'll now find all of our content on the sidebar. Just below you can see the available cloud services, and information about any planned outages we may have. Due to the nature of "unlimited resources" of cloud computing, DeepSense doesn't limit any cloud services that the projects need. The cloud services listed in the following tables are our currently running resources. This doesn't necessarily indicate we cannot use other cloud resources. DeepSense users are encouraged to contact us to apply for required cloud computing services. We continuously explore the best cloud solutions to the AI projects. We don't lock our solutions in any specific cloud vendors. The tables below show the cloud services we have tested and are developing projects on. More cloud services will be coming soon.

We routinely make changes and update the content. If you see anything missing, or have any suggestions for content, we would appreciate hearing from you. You can send us an email at (support@deepsense.ca).

Cloud Services

Amazon Web Services (AWS)

Availability	Service	Usage
Available	S3 (Simple Storage Service)	Amazon S3 can be used to store and retrieve any amount of data. Mainly use it for backing up your data.
Available	EC2 (Elastic Compute Cloud)	Amazon EC2 can be used to create virtual machines for training models in a manually configured environment.
Available	SageMaker Notebook	Amazon SageMaker notebook instance is a machine learning (ML) compute instance that runs the Jupyter Notebook App.