Showing 4 open source projects for "computing"

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  • 1
    Beta9

    Beta9

    Run serverless GPU workloads with fast cold starts on bare-metal

    ...It allows developers to deploy and scale GPU-accelerated applications without managing underlying infrastructure, offering flexibility and efficiency for AI and high-performance computing tasks. beta9 supports various frameworks and provides tools for monitoring and managing deployments effectively.
    Downloads: 9 This Week
    Last Update:
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  • 2
    Tau

    Tau

    Open source distributed Platform as a Service (PaaS)

    tau is the core runtime and orchestration engine of the Taubyte platform, an event-driven, distributed computing framework for building and running decentralized applications. tau handles the dynamic deployment of code, services, and data across edge and cloud environments based on real-time events. It abstracts infrastructure and simplifies application delivery by combining GitOps principles with a secure, multi-tenant execution model. tau enables seamless scalability, event-based routing, and on-demand execution without managing underlying servers.
    Downloads: 0 This Week
    Last Update:
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  • 3
    tsuru

    tsuru

    Open source and extensible Platform as a Service (PaaS)

    ...Let your developers code and understand the business instead of solving infrastructure problems or handling large configuration files. We built the platform as a service atop of battle-tested technologies from Cloud Native Computing Foundation stack. Manage your distributed apps in many kubernetes clusters/regions with a single point of control. Tsuru is an open source project and, as such, we welcome contributions. Feel free to report or fix bugs, contribute to the documentation, or just give your opinion about the software.
    Downloads: 0 This Week
    Last Update:
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  • 4
    KubeOperator

    KubeOperator

    An open source, lightweight Kubernetes distribution

    ...Compared with heavyweight PaaS platforms such as OpenShift, KubeOperator only focuses on solving one problem, which is to help enterprises plan (Day 0), deploy (Day 1), and operate (Day 2) production-level K8S clusters, and achieve the ultimate. Supports multiple computing, storage and networking scenarios. Integrate Ansible and Terraform. Support online environment and offline environment deployment. Provides a visual web UI. Supports cluster planning, deployment and operations. Easily run workloads like machine learning, high-performance computing, and more. Quickly deploy and manage applications in K8S. ...
    Downloads: 0 This Week
    Last Update:
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