Freemium
Beginner
vLLM
Serving models with extremely high throughput using PagedAttention.
Vendor: UC Berkeley
Last Reviewed: 2026-06-09
Next Review: 2026-12-31
Editorial Owner: AI Delivery Hub Editorial
Product Overview
Overview of vLLM. Serving models with extremely high throughput using PagedAttention.
Typical Use Cases
- Conversational assistant for code and text generation
- Automated task execution and workflow orchestration
Core Strengths
Very fast inference speeds, high throughput, OpenAI-compatible API server.
Limitations & Constraints
Requires dedicated GPU hardware, Linux-optimized.
Frequently Asked Questions
What is the primary use case of vLLM?
Serving models with extremely high throughput using PagedAttention.
Is there a free trial or open source version?
The pricing model is cataloged as Freemium. Refer to the official vendor site for active terms.