Showing 3 open source projects for "open source jigsaw"

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  • Cut Cloud Costs with Google Compute Engine Icon
    Cut Cloud Costs with Google Compute Engine

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    Save on compute costs with Compute Engine. Reduce your batch jobs and workload bill 60-91% with Spot VMs. Compute Engine's committed use offers customers up to 70% savings through sustained use discounts. Plus, you get one free e2-micro VM monthly and $300 credit to start.
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  • Go From Idea to Deployed AI App Fast Icon
    Go From Idea to Deployed AI App Fast

    One platform to build, fine-tune, and deploy. No MLOps team required.

    Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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  • 1
    CUDOS Framework

    CUDOS Framework

    Command Line Interface tool for Cloud Intelligence Dashboards

    The AWS Cloud Intelligence Dashboards Framework is a set of open-source tools and templates designed to help organizations deploy and manage advanced data visualization dashboards that offer insights into cost, usage, governance, and operational health across AWS environments. It is part of the AWS Solutions Library and includes CloudFormation templates, CLI commands, and pre-built dashboards that collect, process, and visualize data from AWS billing, cost management, budgets, and usage reports in services such as Amazon QuickSight or other BI tools. ...
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  • 2
    SkyPilot

    SkyPilot

    SkyPilot: Run AI and batch jobs on any infra

    SkyPilot is a framework for running AI and batch workloads on any infra, offering unified execution, high cost savings, and high GPU availability. Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
    Downloads: 0 This Week
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  • 3
    OptScale

    OptScale

    FinOps and MLOps platform to run ML/AI and regular cloud workloads

    Run ML/AI or any type of workload with optimal performance and infrastructure cost. OptScale allows ML teams to multiply the number of ML/AI experiments running in parallel while efficiently managing and minimizing costs associated with cloud and infrastructure resources. OptScale MLOps capabilities include ML model leaderboards, performance bottleneck identification and optimization, bulk run of ML/AI experiments, experiment tracking, and more. The solution enables ML/AI engineers to run...
    Downloads: 0 This Week
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