Neural Magic provides an enterprise inference server solution that optimizes the deployment of open-source large language models (LLMs) on both CPU and GPU infrastructures. By enhancing computational efficiency and reducing hardware requirements, the platform enables organizations to run AI models securely and cost-effectively across various environments, including cloud and edge.
Funding
$30M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations face challenges in efficiently deploying open-source large language models (LLMs) due to high computational costs and hardware requirements. Optimizing these models for different environments, including cloud and edge, while maintaining security and cost-effectiveness, presents a significant hurdle.
Solution
Neural Magic offers an enterprise inference server solution designed to optimize the deployment of open-source LLMs across CPU and GPU infrastructures. The platform enhances computational efficiency and reduces hardware demands, enabling organizations to run AI models securely and cost-effectively in various environments. Neural Magic's inference solutions support leading open-source LLMs, allowing deployment in the cloud, private data centers, or at the edge. By maximizing performance and increasing hardware efficiency, Neural Magic provides a reliable, supported inference server solution for scaling open-source LLMs in production.
Target Audience
The primary customers are enterprises seeking to deploy and scale open-source LLMs efficiently and cost-effectively across diverse infrastructure environments.
Features
- Enterprise inference server solution for open-source LLMs
- Optimizes performance on both CPU and GPU infrastructures
- Supports deployment across cloud, data center, and edge environments
- Model optimization techniques, including sparsity and quantization
- Integration with nm-vllm, SparseML, and DeepSparse
- Pre-optimized models available in the Neural Magic Model Repository
- Compatibility with Docker and Kubernetes platforms