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title: "Home"
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metaTitle: "Neural Magic Documentation"
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metaDescription: "Documentation for the Neural Magic Deep Sparse Platform a suite of software components to train and deploy sparsified deep learning models performantly on your data"
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metaDescription: "Documentation for the Neural Magic Deep Sparse Platform: a suite of software components to train and deploy sparsified deep learning models performantly on your data"
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githubURL: "https://github.com/neuralmagic/docs/blob/main/src/content/index.mdx"
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Neural Magic's Deep Sparse Platform provides models and tools needed to create sparse models and a CPU-based inference engine that runs sparse models at GPU speeds.
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Using the DeepSparse platform, you are free to deploy your neural networks anywhere you have a CPU from edge to cloud.
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Using the Deep Sparse Platform, you are free to deploy your neural networks anywhere you have a CPU from edge to cloud.
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There are three libraries which accomplish these goals:
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There are three products which accomplish these goals:
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- [DeepSparse Engine](/products/deepsparse) offers best-in-class CPU performance for dense and sparsified models.
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Specifically for sparse models, it offers better than GPU performance in many use cases.

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