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    4.7 / 5.0
    Customer References43 total
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    Iguazio brings data science to life, with a platform for enterprises to automate MLOps and cut the time to impact of AI projects. With the Iguazio MLOps Platform, data science teams can collaborate together in one place to develop AI models at scale and in real time, deploy them anywhere (multi-cloud, on-prem or edge), and manage them in production.

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    4.7 / 5.0
    Customer References12 total
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    NVIDIA Run:ai accelerates AI and machine learning operations by addressing key infrastructure challenges through dynamic resource allocation, comprehensive AI life-cycle support, and strategic resource management. By pooling resources across environments and utilizing advanced orchestration, NVIDIA Run:ai significantly enhances GPU efficiency and workload capacity. With support for public clouds, private clouds, hybrid environments, or on-premises data centers, NVIDIA Run:ai provides unparalleled flexibility and adaptability.

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    Customer References81 total
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    Neptune.ai is an experiment tracking hub bringing organization and collaboration to data science projects. Neptune records your entire experimentation process - exploratory notebooks, model training runs, code, hyperparameters, metrics, data versions, results, exploration visualizations, and more. Everything is stored and backed-up in an organized knowledge repository, ready to be accessed, analyzed, shared, and discussed with your team. No matter what type of problems you are working on, Neptune fits them all, from evaluating credit risk to finding the nuclei in divergent images.

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