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    JupyterHub LLM GPU optimized Ubuntu with Mint Desktop and RDP access

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    Deployed on AWS
    This product has charges associated with it for Python library GPU optimization and Ubuntu 21.3 Mint Desktop integration with JupyterHub/Notebook, the open-source application. Remote RDP access enabled for a full desktop experience.

    Overview

    This is a repackaged open source software product wherein additional charges apply for system integration, Jupyter application dependency management, and AMI Marketplace security compliance. This Ubuntu 21.3 Mint Desktop workstation (server) features our TLC Windows look-alike 'WinTwin' icon styling and convenient RDP access, which works well for both Windows and Linux based access. The installed JupyterHub web server allows remote HTTP access if you do not want or need the full Desktop environment. The Jupyter application is designed for creating and sharing documents containing live code, equations, visualizations, and narrative text. Provides an excellent environment for experimenting with LLMs due to its interactive nature. It is built on python3.10, and has a dozen ML/AI related libraries configured for GPU compatibility and interoperable functionality, including pandas, matplotlib, seaborn, scikit-learn, tensorflow, keras, torch, nltk, opencv-python, xgboost, lightgbm, and tpot. The AMI will save you and your team days or weeks (and time is money) in having to build, style and trouble-shoot such a workstation yourself.

    Highlights

    • Technology Leadership's JupyterHub with Jupyter Notebook is a GPU Optimized Workstation with Mint (Ubuntu) Desktop featuring RDP access and a collection of Large Language Model specific Python 3.10 libraries
    • The Python 3.10 LLM modules integrated in this workstation are GPU optimized but configured to allow for non-GPU instances to run workloads, if desired.
    • Works in all regions, only 2 or 4 pennies per hour based on size, no backdoors or 'bug' data sending, hourly or monthly payment options available

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Mint 21.3

    Deployed on AWS

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    Features and programs

    Financing for AWS Marketplace purchases

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    Pricing

    JupyterHub LLM GPU optimized Ubuntu with Mint Desktop and RDP access

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (630)

     Info
    • ...
    Dimension
    Cost/hour
    t3a.large
    Recommended
    $0.02
    x1e.32xlarge
    $0.04
    r6idn.24xlarge
    $0.04
    g4dn.8xlarge
    $0.04
    c5a.24xlarge
    $0.04
    m7a.large
    $0.02
    c6a.12xlarge
    $0.04
    z1d.xlarge
    $0.04
    m5dn.16xlarge
    $0.04
    r6a.2xlarge
    $0.04

    Vendor refund policy

    We do not offer refunds on paid hourly or yearly purchases. You may cancel hourly charges at any time to avoid future charges.

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    Legal

    Vendor terms and conditions

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    Usage information

     Info

    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 version

    Additional details

    Usage instructions

    FOR FULL MINT DESKTOP AND JUPYTER NOTEBOOK:

    1. Launch your AMI ensuring you enable Public IP address and your security group allows RDP on port 3389. Note the Public IP address assigned to your instance AND your instance ID
    2. Please WAIT 10 to15 minutes after the instance Status Check shows 3/3 checks passed for the OS to finish updating, which will enable the log in screen service (xrdp).
    3. AFTER WAITING as described above, launch your RDP client. Instructions may differ depending on client OS. On Windows: a. Search for Program or File b. Type in the words 'Remote Desktop' and press enter. c. Select the Remote Desktop Connection application in the search results d. In your RDP client window, enter the IP address noted in Step 1 e. Press 'Connect' Button. You may get warning: 'The identity of the remote
      computer connection cannot be verified', click the Yes button to continue
    4. On the Xrdp log in screen that appears, leave the first box as-is, it should say 'Xorg'. In the box below called username, type in ec2-user. In the box below that called password, enter the entire instance ID as noted instep 1 above; press OK button, the screen will eventually turn black. THE SCREEN WILL REMAIN BLACK FOR ANOTHER 2 TO 3 MINUTES!!!! This is the time it takes for the ec2-user desktop to be created and various settings made before your session can begin. PLEASE BE PATIENT!
    5. Once logged in and you see the desktop, double-click on the Desktop icon labeled JupyterLab. Again. please WAIT for about 1 to 2 minutes! After the JupyterLab application launches, ANOTHER minute later, the FireFox web browser will open automatically, then the JupyterLab Notebook will load into the browser. That's it!
    6. When finished, to save time loading the desktop, Jupyter-Hub server and Jupyter-Lab Notebook, DO NOT LOGOUT OF THE MINT DESK TOP SESSION. Instead, simply disconnect your RDP client.

    Support

    Vendor support

    Email: asimon@technology-leadership.com  Additional Online Resources listed below

    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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