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Activeloop

Activeloop provides Deep Lake, an AI-optimized data lake specifically designed for deep learning workflows with unstructured data such as images, audio, video, annotations, and tabular data. It stores data as tensors for efficient GPU utilization and supports fast streaming, SQL-like querying, visualization, and version control. Deep Lake enables faster AI model development by reducing data infrastructure complexity and supports datasets at petabyte scale. It offers an open-source Python dataloader and data format, with premium features like a high-performance query engine and analytics available via paid plans. Users include teams at Intel, Google, and MILA.

platform:web platform:python pricing:freemium pricing:subscription form:saas form:library form:api feature:version-control feature:data-visualization feature:query-engine feature:gpu-acceleration feature:streaming feature:open-source feature:deep-learning target:developers target:ai-researchers target:teams

About Activeloop

Activeloop provides Deep Lake, an AI-optimized data lake specifically designed for deep learning workflows with unstructured data such as images, audio, video, annotations, and tabular data. It stores data as tensors for efficient GPU utilization and supports fast streaming, SQL-like querying, visualization, and version control. Deep Lake enables faster AI model development by reducing data infrastructure complexity and supports datasets at petabyte scale. It offers an open-source Python dataloader and data format, with premium features like a high-performance query engine and analytics available via paid plans. Users include teams at Intel, Google, and MILA.

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