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Neural Magic
Overview :
Neural Magic is a company focused on AI model optimization and deployment, offering leading enterprise-grade inference solutions to maximize performance and improve hardware efficiency. The company's products support the deployment of leading open-source large language models (LLMs) on GPU and CPU infrastructures, enabling businesses to efficiently and securely deploy AI models in cloud, private data centers, or edge environments. Neural Magic emphasizes its expertise in machine learning model optimization and its innovative LLM compression technologies developed in collaboration with research institutions, such as GPTQ and SparseGPT. In terms of pricing and positioning, Neural Magic offers free trials and paid services designed to help enterprises reduce costs, enhance efficiency, and maintain data privacy and security.
Target Users :
Target audience includes enterprise IT teams that need to deploy and optimize AI models, particularly those seeking to enhance hardware efficiency, reduce costs, and maintain data privacy and security. Neural Magic's products and technologies empower these organizations to deploy AI models across various infrastructures while ensuring high performance and scalability.
Use Cases
An enterprise deployed a large language model on GPU using nm-vllm, significantly improving inference efficiency.
A data scientist ran a sparse language model on CPU using DeepSparse, greatly reducing costs.
An educational institution utilized the SparseML toolkit to optimize their model, enhancing its performance on edge devices.
Features
nm-vllm: An enterprise-grade inference server that supports the deployment of open-source large language models on GPUs.
DeepSparse: A sparse-aware inference server for LLMs, computer vision, and natural language processing models that runs on CPUs.
SparseML: An inference optimization toolkit that compresses large language models using sparsity and quantization techniques.
SparseZoo: An open-source model library providing quick-start open-source models.
Hugging Face Integration: Offers pre-optimized open-source LLMs for more efficient and faster inference.
Model Optimization Technologies: Enhances inference performance through GPTQ and SparseGPT techniques.
Support for Multiple Hardware Architectures: Provides in-depth instruction-level optimizations across a wide range of GPU and CPU architectures.
How to Use
1. Visit the Neural Magic official website and register for an account.
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2. Choose the appropriate product based on your needs, such as nm-vllm or DeepSparse.
3. Download and install the relevant software or services.
4. Configure the AI model according to the documentation and guidelines provided.
5. Deploy the model on the selected hardware architecture, such as GPU or CPU.
6. Utilize Neural Magic's tools and technologies to optimize model performance.
7. Monitor and adjust the model's performance to ensure optimal inference results.
8. Contact Neural Magic's technical support for assistance as needed.
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