Columbia University has arrangements with a number of cloud providers, below is a list of these with the other resources available to academics and the general public which should which will help get you started in the cloud. We can assist you with guidance and recommendations that are appropriate for your specific use case. Please email us at rc@zi.columbia.edu to get started or schedule a free consultation.
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- DigitalOcean is one of the many alternative cloud providers who offer more conventional services with fixed costs, which can sometimes be a better fit if your project. Columbia has no arrangement with DigitalOcean.
- The case for DigitalOcean from an AWS-centric blog.
Lambda Labs
| For researchers looking for cost-effective GPU resources, Lambda Cloud provides powerful on-demand GPUs at highly competitive rates compared to other major cloud providers like Azure, AWS, or GCP. These GPU instances are pre-configured for AI / machine learning. While Lambda Cloud currently does not support pausing or suspending instances, they are actively working on this feature. In the meantime, Lambda Labs recommends using Docker containers and persistent storage options to save the state of the system, making it easier to resume workflows as needed. For more information, see their documentation on instance management and persistent storage. Click the chart to the left to view hourly pricing. |
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Using the Cloud/AWS at Zuckerman 10/16/2020 presentation slides (requires Lionmail account)
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