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  • Red Hat Enterprise Linux on Microsoft Azure Icon
    Red Hat Enterprise Linux on Microsoft Azure

    Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.

    Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
  • HRSoft Compensation - Human Resources Software Icon
    HRSoft Compensation - Human Resources Software

    HRSoft is the only unified, purpose-built SaaS platform designed to transform your complex HR processes into seamless digital ones

    Manage your enterprise’s compensation lifecycle and accurately recognize top performers with a digitized, integrated system. Keep employees invested and your HR team in control while preventing compensation chaos.
  • 1
    Milvus

    Milvus

    Vector database for scalable similarity search and AI applications

    Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. Average latency measured in milliseconds on trillion...
    Downloads: 5 This Week
    Last Update:
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  • 2
    Amazon EC2 Metadata Mock

    Amazon EC2 Metadata Mock

    A tool to simulate Amazon EC2 instance metadata

    ... at launch time. For example, if you run web servers for various small businesses, they can all use the same generic AMI and retrieve their content from the Amazon S3 bucket that you specify in the user data at launch. To add a new customer at any time, create a bucket for the customer, add their content, and launch your AMI with the unique bucket name provided to your code in the user data. If you launch more than one instance at the same time, the user data is available to all instances.
    Downloads: 0 This Week
    Last Update:
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