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    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
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    Try Google Cloud Risk-Free With $300 in Credit

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  • 1
    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    ...Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads. According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. ...
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  • 2
    Struts NBX (Struts with Nuthin-But-XML) is a Model 2X framework, by Bill Vaughn, that enables the development of dynamic J2EE web content with nothing but XML. In other words, no JSPs, JSTLs and etc., for a clean separation between the model and viewer.
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