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This repository was archived by the owner on Jun 3, 2025. It is now read-only.
Copy file name to clipboardExpand all lines: src/content/index.mdx
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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"
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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