vLLM: High-performance LLM inference and serving
vLLM is a cutting-edge library for large language model inference and serving, offering unparalleled speed and efficiency through its innovative PagedAttention algorithm and seamless integration with popular AI frameworks.
High-throughput serving
Achieve state-of-the-art performance in LLM serving with PagedAttention technology by efficiently managing attention keys and values, optimizing memory usage for faster inference and handling multiple requests simultaneously with ease.
Flexibility and integration
Seamlessly work with popular AI frameworks and models through native support for Hugging Face models, an OpenAI-compatible API server and easy integration with existing AI pipelines.
Scalability
Effortlessly scale your LLM applications to meet growing demands with Kubernetes-ready deployment, dynamic resource allocation and support for distributed inference across multiple nodes.
User-friendly
Simplify LLM deployment and management for developers of all skill levels with an intuitive API for quick implementation, comprehensive documentation and examples and an optional Gradio interface for easy interaction.
Unmatched performance
Experience the fastest LLM inference speeds available, powered by PagedAttention technology.
Advanced decoding algorithms
Access a variety of decoding methods to suit your specific use case, with support for beam search, nucleus sampling and more, allowing fine-tuning of output generation for optimal results and easy experimentation with different decoding strategies.
Kubernetes-native
Deploy and manage vLLM effortlessly in your Nebius’ Managed Service for Kubernetes clusters.
Cost-effective
Maximize resource utilization and minimize operational costs through efficient memory management.
Community-driven
Benefit from continuous improvements and support from a vibrant open-source community.
Empower your AI applications with vLLM
Enterprise AI solutions
- High-volume chatbot and virtual assistant deployments
- Real-time content generation for marketing and customer engagement
- Large-scale text analysis and summarization for business intelligence
Research and development
- Rapid prototyping and testing of LLM-based applications
- Efficient fine-tuning and evaluation of custom language models
- Collaborative AI research projects requiring shared LLM resources
Supercharge your LLM inference today
Experience the next level of AI performance with vLLM on Nebius AI