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

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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.