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    Gemma 3 12b Boosted by openSUSE MultiCortex HPC

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    Sold by: MultiCortex 
    Free Trial
    AWS Free Tier
    Built on openSUSE Linux, this product provides private AI using the Gemma 3 model with 12 billion parameters. MultiCortex HPC (High-Performance Computing) allows you to boost your AI's response quality. This is a plug-and-play, low-cost product with no token fees.
    Listing Thumbnail

    Gemma 3 12b Boosted by openSUSE MultiCortex HPC

     Info
    Sold by: MultiCortex 

    Overview

    ABOUT GEMMA 3:

    Gemma 3 is an open language artificial intelligence model developed by Google. Designed to be efficient and versatile, Gemma 3 provides advanced capabilities that support a wide range of artificial intelligence applications.

    Main Features of Gemma 3

    • Multimodality. Gemma 3 can process inputs such as text images and short videos allowing the creation of applications that analyze and interpret various types of media

    • Multilingual support. With compatibility for more than one hundred forty languages Gemma 3 enables global communication and helps adapt applications for different markets and audiences

    • Extended context windows. The model supports context windows of up to one hundred twenty eight thousand tokens making it possible to process complex information and manage tasks that require deeper context

    • Computational efficiency. Gemma 3 is built to run efficiently on devices with limited resources and is considered the most powerful artificial intelligence model capable of running on a single graphics processing unit

    • Advanced reasoning capabilities. The model provides strong performance in mathematics logical reasoning and conversation including structured outputs and function calling which expands the possibilities for interaction and automation.

    Highlights

    • Boost your private AI system with MultiCortex HPC and leave the thousands of AI updates to us
    • Enjoy full technical compliance with complete data control in the hands of your company
    • No token fees, enhanced performance, and lower consumption of computing resources

    Details

    Delivery method

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

    Latest version

    Operating system
    AmazonLinux Leap 15.6

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free for 31 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    Gemma 3 12b Boosted by openSUSE MultiCortex HPC

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    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.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (617)

     Info
    • ...
    Dimension
    Cost/hour
    g4dn.xlarge
    Recommended
    $0.50
    t3.micro
    AWS Free Tier
    $0.50
    t2.micro
    AWS Free Tier
    $0.50
    m5d.large
    $0.50
    u-9tb1.112xlarge
    $0.50
    hpc7a.96xlarge
    $0.50
    c7a.16xlarge
    $0.50
    m6i.4xlarge
    $0.50
    r5dn.16xlarge
    $0.50
    r7a.8xlarge
    $0.50

    Vendor refund policy

    If you need to request a refund for software sold by Amazon Web Services, LLC, please contact AWS Customer Service.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    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

    New gemma3 and other models available and all packages installed automatically.

    Additional details

    Usage instructions

    Additional details Usage instructions

    To use the product, follow these steps:

    1. Open a web browser and go to the application at the following address: https://<EC2_Instance_Public_DNS>/index.html.
    2. Log in using the credentials below:
      • Username: ec2-user
      • Password: the instance_id of your instance.

    After launching an EC2 instance, wait about 15 minutes for the system to complete the automatic configuration and download of the LLM template. After this time, you can access the chat interface by typing the instance's IP address followed by port 7000 into your browser. For example: http://10.21.103:7000 .

    Support

    Vendor support

    The support service called MultiCortex, developed based on the openSUSE operating system, aims to provide the necessary resources for the efficient execution of AI models that are always up to date and aligned with the latest technological innovations in the area, offering a robust and secure environment for the development and application of AI-based solutions.

    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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