AI Gateway vs vLLM
Side-by-side comparison of two AI agent tools
Short answer
- vLLM is growing faster: +2,933 GitHub stars in the last 30 days vs +323 for AI Gateway.
- Pick AI Gateway for: a blazing fast AI Gateway with integrated guardrails. Pick vLLM for: a high-throughput and memory-efficient inference and serving engine for LLMs.
From GitHub data refreshed daily.
AI Gatewayopen-source
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
vLLMopen-source
A high-throughput and memory-efficient inference and serving engine for LLMs
Metrics
| AI Gateway | vLLM | |
|---|---|---|
| Stars | 13.1k | 93.1k |
| Star velocity /mo | 323.36842105263156 | 2.9k |
| Commits (90d) | 0 | 4.0k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 1.9K | 1.9M |
| Overall score | 0.3390945209311889 | 0.9233627347430968 |
Pros
- +支持1600+模型的大规模路由能力，覆盖主流AI提供商
- +超高性能表现：<1ms延迟，122kb轻量级架构，日处理100亿tokens验证
- +企业级可靠性：自动重试、故障转移、负载均衡等生产环境必需功能
- +Exceptional serving throughput with PagedAttention memory optimization and continuous batching for production-scale LLM deployment
- +Comprehensive hardware support across NVIDIA, AMD, Intel platforms and specialized accelerators with flexible parallelism options
- +Seamless Hugging Face integration with OpenAI-compatible API server for easy model deployment and switching
Cons
- -企业级功能可能对简单用例过于复杂
- -文档信息不完整，可能存在学习曲线
- -高级配置和企业部署可能需要技术专业知识
- -Requires significant GPU memory for optimal performance, limiting accessibility for resource-constrained environments
- -Complex setup and configuration for distributed inference across multiple GPUs or nodes
- -Primary focus on inference means limited support for training or fine-tuning workflows
Use Cases
- •多模型AI应用需要统一API接口和智能路由选择
- •企业级AI服务要求高可用性、自动故障转移和负载均衡
- •大规模AI应用需要成本优化和性能监控的网关层
- •Production API serving for applications requiring high-throughput LLM inference with multiple concurrent users
- •Research and experimentation with open-source LLMs requiring efficient model switching and testing
- •Enterprise deployment of private LLM services with OpenAI-compatible interfaces for existing applications
FAQ
- Which is more popular, AI Gateway or vLLM?
- vLLM has more GitHub stars (93,097 vs 13,121).
- Which is more actively developed, AI Gateway or vLLM?
- vLLM had more commits in the last 90 days (4,023 vs 0).
- Should I use AI Gateway or vLLM?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.