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| title: README | |
| emoji: 💻 | |
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| # Software-delivered AI Inference | |
| Neural Magic helps developers in accelerating deep learning performance using automated model sparsification technologies and a CPU inference engine. | |
| Download and run our sparsity-aware inference engine and open source tools for GPU-class performance on CPUs. | |
| * [DeepSparse](https://github.com/neuralmagic/deepsparse): Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application | |
| * [SparseML](https://github.com/neuralmagic/sparseml): Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models | |
| * [SparseZoo](https://sparsezoo.neuralmagic.com/): Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes | |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/60466e4b4f40b01b66151416/BrYG-6c74fnlWFxR3LvqT.png" alt="sparsezoo" width="500"/> | |