vLLM Open Runtime
Shares tags: build, serving, vllm & tgi
AI Tool
Accelerate Your LLM Inference with vLLM Runtime
The Open-Source Solution for Fast, Efficient Serving with Paged Attention
Seamless TPU Inference on JAX and PyTorch with No Code ChangesMaximize Performance with Advanced Memory Management and BatchingSupport for Diverse Model Types and Scalable BackendsFlexible API Compatibility for Integration with Developer WorkflowsTailored for Both Enterprises and Academic Researchers
Tags
BuildServingvLLM & TGI
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overview
What is vLLM Runtime?
vLLM Runtime is an open-source inference solution that enhances the performance of large language models (LLMs) with innovative features like paged attention and optimized memory management. Designed for rapid deployment and easy scalability, it accommodates both enterprise-grade applications and research projects.
- Open-source and free to use
- Designed for high-performance LLM serving
- Supports both JAX and PyTorch frameworks
features
Key Features of vLLM Runtime
vLLM Runtime is packed with leading-edge capabilities that enable developers to achieve exceptional performance benchmarks. Experience low-latency inference, enhanced throughput, and reliability for all your LLM tasks.
- Unified runtime for seamless TPU inference
- Production-grade batching and memory optimizations
- Support for multi-modal and encoder-decoder models
use_cases
Real-World Applications
Whether you are building interactive generative AI products, deploying reinforcement learning engines, or developing code generation tools, vLLM Runtime is designed to meet your needs. Its flexibility allows for tailored workflows that cater to various use cases.
- Agent frameworks and RL applications
- Long-context support and tool integration
- Compatible with OpenAI APIs for easy migration
Frequently Asked Questions
What models are supported by vLLM Runtime?
vLLM Runtime supports a variety of models, including recent advancements like Llama, Qwen, and Gemma, ensuring that both JAX and PyTorch can be utilized seamlessly.
Is vLLM Runtime suitable for enterprise use?
Absolutely! vLLM Runtime is designed for both enterprise-scale applications and research, providing the reliability and scalability necessary for high-impact deployments.
How do I get started with vLLM Runtime?
Getting started is easy—visit our website at vllm.ai to find documentation, installation guidelines, and examples to kickstart your projects.