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README.md
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StreamingDataset is compatible with any data type, including images, text, video, and multimodal data.
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With support for major cloud storage providers (AWS, OCI, and GCS are supported today; Azure is coming soon),
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and designed as a drop-in replacement for your PyTorch IterableDataset class, StreamingDataset seamlessly integrates
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into your existing training workflows.
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# [MosaicML Platform for Multinode Orchestration](https://mcli.docs.mosaicml.com/en/latest/getting_started/installation.html)
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StreamingDataset is compatible with any data type, including images, text, video, and multimodal data.
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With support for major cloud storage providers (AWS, OCI, and GCS are supported today; Azure is coming soon),
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and designed as a drop-in replacement for your PyTorch [IterableDataset](https://pytorch.org/docs/stable/data.html#torch.utils.data.IterableDataset) class, StreamingDataset seamlessly integrates
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into your existing training workflows.
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# [MosaicML Platform for Multinode Orchestration](https://mcli.docs.mosaicml.com/en/latest/getting_started/installation.html)
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The MosaicML Platform enables you to easily train large AI models on your data, in your secure environment.
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Train large AI models at scale with a single command. Point to your S3 bucket and go. We handle the rest — orchestration, efficiency, node failures, infrastructure.
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Simple and scalable.
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Seamlessly integrate with your existing workflows, experiment trackers, and data pipelines.
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Our platform is fully interoperable, cloud agnostic, and enterprise proven.
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