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Neural Magic
Deploy Open-Source LLMs to Production with Maximum Efficiency

What is Neural Magic?

Neural Magic provides enterprise inference server solutions designed to streamline the deployment of open-source large language models (LLMs). The company focuses on maximizing performance and increasing hardware efficiency, enabling organizations to deploy AI models in a scalable and cost-effective manner.

Neural Magic supports leading open-source LLMs across a broad set of infrastructure, allowing secure deployment in the cloud, private data centers, or at the edge. The company's expertise in model optimization further enhances inference performance through cutting-edge techniques, such as GPTQ and SparseGPT.

Features

  • nm-vllm: Enterprise inferencing system for deployments of open-source large language models (LLMs) on GPUs.
  • DeepSparse: Sparsity-aware enterprise inferencing system for LLMs, CV and NLP models on CPUs.
  • SparseML: Inference optimization toolkit to compress large language models using sparsity and quantization.
  • Neural Magic Model Repository: Pre-optimized, open-source LLMs for more efficient and faster inferencing.

Use Cases

  • Deploying open-source LLMs in production environments.
  • Optimizing AI model inference for cost and performance.
  • Running AI models securely on various infrastructures (cloud, data center, edge).
  • Reducing hardware requirements for AI workloads.
  • Maintaining privacy and security of models and data.

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