vespa vs vllm
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| vespa | vllm | |
|---|---|---|
| Tagline | The AI search platform | A high-throughput and memory-efficient inference and serving engine for LLMs |
| Stars | 7.0k | 86k |
| Forks | 723 | 19k |
| Open issues | 247 | 5.6k |
| Language | Java | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Inference & Serving, Vector Databases | Model Training, Inference & Serving |
vespa
Vespa is an advanced AI-powered search and recommendation engine that supports real-time serving of large-scale data and machine learning models.
Java
vllm
vLLM is a fast and efficient library designed to serve large language models (LLMs) with high throughput while being mindful of computational resources. It supports various model optimizations, quantization techniques, and offers seamless integration with popular Hugging Face models.
Python