# vLLM

- **Canonical URI:** https://www.vioscale.ai/software/vllm
- **Category:** MLOps & LLMOps Tools
- **Homepage:** https://docs.vllm.ai
- **Also known as:** vllm
- **Profile claimed by vendor:** no
- **Last updated:** 2026-08-01T21:27:24.101Z

## Vioscale score

**73.1 / 100**, confidence 51% (medium).

Composite of weighted, independently-sourced signals (no user reviews, no vendor payment).

| Signal | Score | Weight | Contribution | Evidence present |
|---|--:|--:|--:|:--:|
| capabilities | 86.7 | 32 | 2775 | ✓ |
| github_stars | 93.3 | 5 | 466.3 | ✓ |
| integrations | 33.8 | 18 | 608.8 | ✓ |
| github_activity | 63.1 | 18 | 1135.8 | ✓ |
| release_cadence | 93.3 | 10 | 933.3 | ✓ |
| security_posture | 0 | 12 | 0 | - |
| package_downloads | 78.7 | 26 | 2046.2 | ✓ |
| stackoverflow_activity | 0 | 12 | 0 | - |

## Pricing

_As of 2026-08-01, [verify at source](https://docs.vllm.ai). Independently observed._

Open source

> Open source

## About

Open-source LLM inference and serving engine providing offline inference, online serving, and optimizations including automatic prefix caching, speculative decoding, structured outputs, and quantization.

_Independently observed._

## Platform & deployment

- **Platforms:** CLI, Linux
- **Deployment:** Cloud / SaaS, On-premise, Self-hosted

## Integrations (14)

_Independently observed._

- LangChain
- LlamaIndex
- Claude Code
- LiteLLM
- BentoML
- AnythingLLM
- Streamlit
- NVIDIA Triton
- KServe
- Haystack
- Hugging Face
- Modal
- RunPod
- SkyPilot

## Capabilities

_The capabilities that matter for MLOps & LLMOps Tools. "-" = undocumented, not absent._

| Capability | Supported |
|---|:--:|
| **Core** | |
| Tool role | Model serving |
| **Deployment** | |
| Self-hostable / OSS core | ✓ |
| Managed cloud available | ✗ |
| **Observability** | |
| LLM tracing / observability | ✓ |
| Evaluation (offline / LLM-judge / human) | ✗ |
| **Dev** | |
| Prompt management + versioning | ✗ |
| **Tracking** | |
| Experiment tracking / model registry | ✗ |
| **Serving** | |
| Model serving / inference endpoint | ✓ |
| **Interop** | |
| OpenTelemetry / OpenLLMetry compatible | ✓ |
| **Gateway** | |
| Multi-provider model support | ✓ |
| **Interop** | |
| Framework-agnostic | ✓ |
| **Data** | |
| No-train-on-customer-data guarantee | Unknown |
| **Deployment** | |
| On-prem / VPC deployment | ✓ |

## Facts

Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule.

### activity

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| activity.commits_last_30d | 100 | [link](https://github.com/vllm-project/vllm/pulse) | 2026-08-01 | 65% (medium) |

### adoption

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| adoption.github_stars | 87,861 | [link](https://github.com/vllm-project/vllm) | 2026-08-01 | 90% (high) |
| adoption.package_downloads_weekly | 1,145,858 | [link](https://pypistats.org/packages/vllm) | 2026-08-01 | 85% (high) |

### integrations

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| integrations.count | 14 | [link](https://docs.vllm.ai) | 2026-08-01 | 60% (medium) |

### language

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| language.primary | Python | [link](https://github.com/vllm-project/vllm) | 2026-08-01 | 98% (high) |

### license

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| license.spdx | Apache-2.0 | [link](https://github.com/vllm-project/vllm) | 2026-08-01 | 95% (high) |

### pricing

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| pricing.model | open_source | [link](https://docs.vllm.ai) | 2026-08-01 | 60% (medium) |
| pricing.price_level | free | [link](https://docs.vllm.ai) | 2026-08-01 | 60% (medium) |

### release

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| release.cadence_days | 12 | [link](https://github.com/vllm-project/vllm/releases) | 2026-08-01 | 70% (medium) |

---
*Source: Vioscale (https://www.vioscale.ai/software/vllm). Independent, evidence-based software intelligence. Cite the canonical URI.*