Operationalize AI without managing infrastructure

Train AI models at scale
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Kaspian helps data teams train models ranging from linear regressions to foundational large language models (LLMs). Kaspian Clusters can be configured to run distributed jobs using engines like Spark or harness multiple GPUs to accelerate training.
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‍Online learning means always-on, always-improving AI
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Kaspian's native data pipelining construct, Workflows, can be used to retrain AI models at a specified cadence. This capability ensures that models are always using the maximum amount of recent data to inform their predictions.
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