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#
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Neural Magic helps developers in accelerating deep learning performance using automated model compression technologies and inference engines.
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Download our compression-aware inference engines and open source tools for fast model inference.
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* [nm-vllm](https://neuralmagic.com/nm-vllm/): A high-throughput and memory-efficient inference engine for LLMs, our supported enterprise distribution of [vLLM](https://github.com/vllm-project/vllm).
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* [DeepSparse](https://github.com/neuralmagic/deepsparse): Inference runtime offering accelerated performance on CPUs and APIs to integrate ML into your application
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* [llm-compressor](https://github.com/vllm-project/llm-compressor/): HF-compatible library for applying various quantization and sparsity algorithms to llms for optimized deployment with vLLM
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# The Future of AI is Open
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Neural Magic helps developers in accelerating deep learning performance using automated model compression technologies and inference engines.
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Download our compression-aware inference engines and open source tools for fast model inference.
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* [nm-vllm](https://neuralmagic.com/nm-vllm/): A high-throughput and memory-efficient inference engine for LLMs, our supported enterprise distribution of [vLLM](https://github.com/vllm-project/vllm).
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* [llm-compressor](https://github.com/vllm-project/llm-compressor/): HF-compatible library for applying various quantization and sparsity algorithms to llms for optimized deployment with vLLM
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* [DeepSparse](https://github.com/neuralmagic/deepsparse): Inference runtime offering accelerated performance on CPUs and APIs to integrate ML into your application
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