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README.md

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 # Software-Delivered AI Inference
 
-Neural Magic helps developers in accelerating deep learning performance using automated model sparsification technologies and inference engines.
-Download our sparsity-aware inference engines and open source tools for fast model inference. 
-* [nm-vllm](https://github.com/neuralmagic/nm-vllm): A high-throughput and memory-efficient inference engine for LLMs, incorporating the latest LLM optimizations like quantization and sparsity
-* [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
+Neural Magic helps developers in accelerating deep learning performance using automated model compression technologies and inference engines.
+Download our compression-aware inference engines and open source tools for fast model inference. 
+* [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).
+* [DeepSparse](https://github.com/neuralmagic/deepsparse): Inference runtime offering accelerated performance on CPUs and APIs to integrate ML into your application
+* [LLM Compressor](https://github.com/vllm-project/llm-compressor/): Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
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+![image/png](https://cdn-uploads.huggingface.co/production/uploads/60466e4b4f40b01b66151416/2IDqpxbtCtw_ilOZbTSj0.png)
+
+In this profile we provide accurate model checkpoints compressed with SOTA methods ready to run in vLLM such as W4A16, W8A16, W8A8 (int8 and fp8), and many more!