Overview
This is a repackaged open-source software product wherein additional charges apply for support with Elm Computing.
This workbench, powered by a JupyterHub server and pre-configured with popular machine learning Python packages, is designed to efficiently serve Jupyter notebooks for both single and multiple users.
For a complete list of installed Python packages, please visit https://docs.elmcomputing.io
Once the EC2 instance is running, you can access the JupyterHub server using its public IP address. The default username is elm, and the password is the EC2 instance ID (e.g., i-0c7fadc4dc193eca7).
Highlights
- Tensorflow, torch
- Elm Computing Support
Details
Typical total price
$0.25/hour
Pricing
Free trial
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.10 | $0.006 | $0.106 |
t2.micro AWS Free Tier | $0.10 | $0.012 | $0.112 |
t2.small | $0.10 | $0.023 | $0.123 |
t2.medium | $0.10 | $0.046 | $0.146 |
t2.large | $0.10 | $0.093 | $0.193 |
t2.xlarge | $0.10 | $0.186 | $0.286 |
t2.2xlarge | $0.10 | $0.371 | $0.471 |
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 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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
First Release: Installation of Python 3.10.12 and Popular Machine Learning Packages
This initial release includes the installation of Python 3.10.12 along with a curated selection of widely-used machine learning libraries. These libraries are pre-installed to streamline the development process and support various machine learning workflows.
Additional details
Usage instructions
After the EC2 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, make sure to enter http://10.11.12.13 (note the use of http, not https) in your browser to reach the JupyterHub server login page. Initially, you may see an nginx 502 Bad Gateway message; if this happens, please wait a few moments and reload the page.
The default username is elm, and the password is the EC2 instance ID (e.g., i-0c7fadc4dc193eca7).
Support
Vendor support
If you have any questions, please don't hesitate to contact us at support@elmcomputing.io . If you need specific software packages included, we can integrate them into the product.
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.
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