Overview
This is a repackaged open source software product wherein additional charges apply for support by Elm Computing.
Disclaimer: All trademarks referenced in this listing belong to their respective owners. Their use does not imply any affiliation with or endorsement by the trademark holders.
Key Features:
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Multi-User Jupyter Notebooks: Purpose-built to host and serve Jupyter Notebooks for multiple users seamlessly.
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Comprehensive Python Environment: Comes preinstalled with hundreds of Python packages, offering a complete and ready-to-use environment for data science, machine learning, and more.
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PyTorch with GPU Support: Optimized for deep learning workflows, featuring PyTorch with full GPU acceleration capabilities.
For detailed documentation and additional information, visit: docs.elmcomputing.io
Highlights
- Up-to-date PyTorch
- GPU Support
- Elm Computing Support
Details
Typical total price
$0.266/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
t3.nano | $0.10 | $0.005 | $0.105 |
t3.micro AWS Free Tier | $0.10 | $0.01 | $0.11 |
t3.small | $0.10 | $0.021 | $0.121 |
t3.medium | $0.10 | $0.042 | $0.142 |
t3.large | $0.10 | $0.083 | $0.183 |
t3.xlarge Recommended | $0.10 | $0.166 | $0.266 |
t3.2xlarge | $0.10 | $0.333 | $0.433 |
t3a.nano | $0.10 | $0.005 | $0.105 |
t3a.micro | $0.10 | $0.009 | $0.109 |
t3a.small | $0.10 | $0.019 | $0.119 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Refunds are generally not available. Instances are billed hourly based on actual usage and can be terminated at any time to stop charges.
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Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
PyTorch 2.5.1 with GPU Support
Additional details
Usage instructions
Once the instance is started, you can access the JupyterHub server using its public IP address. For example, if the IP address is 10.11.12.13, entering http://10.11.12.13 in your browser will take you to the JupyterHub startup page.
When the JupyterHub server is first activated, a default user account, "jhub-admin", is automatically created.
Upon your first visit to the server, you will be prompted to set a password for "jhub-admin" on the signup page.
Unlike regular users, "jhub-admin" is immediately authorized to log in once the password is set.
For newly created users, an additional authorization step is required. This can be completed at: http://10.11.12.13/hub/authorize
If you need to update the password, you can do so at: http://10.11.12.13/hub/change-password
For detailed instructions, refer to the documentation at: https://docs.elmcomputing.io/ami/x86/pytorch/overview.html
Support
Vendor support
Please contact us at support@elmcomputing.io if any assistance is needed.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.