Neural Magic

Neural Magic is a company focused on AI model optimization and deployment. Its products let teams run open source large language models on GPU and CPU infrastructure. The lineup includes nm-vllm, an inference server for GPUs, DeepSparse, a sparse inference server for CPUs, SparseML, a compression toolkit, and SparseZoo, an open source model library. The company also integrates with Hugging Face and uses techniques such as GPTQ and SparseGPT. A free trial is offered alongside paid services.

- Serve open source LLMs on GPU with nm-vllm

- Run models on CPU with DeepSparse

- Compress models with sparsity and quantization

- Pull pre optimized models from SparseZoo or Hugging Face

- ML engineers deploying models at lower cost

- Data scientists running inference without GPUs

- Enterprises that need private or edge deployment

Full use sits behind paid services after the free trial, and prices are not listed on the page. The toolchain assumes real machine learning and infrastructure knowledge, so expect a learning cost. Optimization results vary by model and hardware, and some techniques change accuracy, so test before deploying. Enterprise support and contracts matter here, and the site returned an error during review, so confirm current availability. Features and interface details may change between versions, so review the latest notes on the page before you start. For team use, agree on naming and editing conventions in advance to avoid version conflicts or duplicated work. When quality matters, export a small draft first to confirm the result before producing the final file. Generated suggestions are for reference only, so verify anything that affects professional judgment or important data.