Showing 3 open source projects for "high performance computing"

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    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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  • 1
    Qualitis

    Qualitis

    Qualitis is a one-stop data quality management platform

    ...At the same time, Qualitis provides enterprise-level features of financial-level resource isolation, management and access control. It is also guaranteed working well under high-concurrency, high-performance and high-availability scenarios.
    Downloads: 3 This Week
    Last Update:
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  • 2
    gravitino

    gravitino

    Unified metadata lake for data & AI assets.

    Apache Gravitino is a high-performance, geo-distributed, and federated metadata lake. It manages metadata directly in different sources, types, and regions, providing users with unified metadata access for data and AI assets.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Open Source Data Quality and Profiling

    Open Source Data Quality and Profiling

    World's first open source data quality & data preparation project

    ...Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data Creation, Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic. It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. ...
    Downloads: 3 This Week
    Last Update:
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