Products

vLLM

Established Leader

The High-Throughput and Memory-Efficient inference and serving engine for LLMs

vllm.ai Source★ 27.3KApache-2.0AI Models & Agents / Model Training & Inference Infrastructure

AI Benchmark
Desktop
Mobile
Monthly visits
1M
Down3.9%MoMSep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Creators
vllm-project
@vllm_project· 54.3K followers
Launched
3y ago
2023-06-19 · Est.

Traffic

Monthly visitsData through Sep 2026
Events3 marketing moves

Marketing moves

Launches, search & content, referrals, promotions
  • vLLM-Omni supports H3-Image across multiple GPU and NPU platformsProduct Activity

    vLLM announced that vLLM-Omni supports H3-Image across NVIDIA data-center and RTX GPUs, AMD, Intel, Moore Threads, and Huawei Ascend NPUs.

    Nov 12 · 2d agoX Post

  • PyTorch hosts Ascend for PyTorch Meetup in BeijingPromotions

    On November 7, PyTorch hosted the Ascend for PyTorch Meetup in Beijing, bringing together maintainers from PyTorch core, TorchNPU, vLLM, and over a hundred developers for technical talks, roundtables, and hands-on sessions.

    Nov 7 · 7d agoX Post

  • vLLM adds day-0 support for ERNIE 5.5 Flash BaseProduct Activity

    vLLM announced Day-0 support for Baidu's ERNIE 5.5 Flash Base. Models can be served in FP8 or BF16 using Baidu's vLLM-ERNIE plugin on vLLM 0.32.0.

    Nov 5 · 9d agoLaunch PostX Post

  • New product launchLaunch

    Jun 19, 2023 · 3y agoWebsite

Open Source & Self-Hosting

GitHub · MCP / Skill
Last commit 2026-11-07
GitHub Stars
★ 27.3K
Forks
5,925
License
Apache-2.0
Primary language
Python

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct43%
  • Organic Search35%
  • Referrals16%
  • Other5%

Countries

  • China42%
  • United States13%
  • India5%
  • Nigeria3%
  • South Korea3%

Search

Domain authority 82Domain registered 2023-06-19

KeywordMonthly volume
vllm138.5K
deepseek v4.196.6K
vllm-ascend2,000
vllm ascend1,930
vllm recipe1,920

Traffic data: Vaneform

Pricing

Pricing page not identified yet, or no public pricing listed.

Pages & changes

Tracked since 2026-11-04

Key pages

Weekly snapshots

Official blog & changelog

Recent articles & product updates

Changes

No pricing, plan, or positioning changes detected since tracking started.

Design

First-screen visual analysis & :root CSS

Minimal Monochrome (Light canvas, airy density) featuring centered headline + cta layout and pure typography & geometry visuals.

First-screen preview · click to zoom

First-screen pitch & conversion flow

“The High-Throughput and Memory-Efficient inference and serving engine for LLMs”

Centered Headline + CTA hero structure paired with download app / install extension CTA and no explicit trust bar.

Conversion path: Centered Headline + CTA + Pure Typography & Geometry → Download App / Install Extension

  • Category Positioning Anchor

Palette · click to copy

5-D design score6.7 / 10
Typography
7.0
Color & Contrast
7.0
Layout & Spacing
7.0
Craft & Polish
7.0
Distinctiveness
5.0

Structure

Fonts
Inter
Primary visual
Pure Typography & Geometry
Social proof
No Explicit Trust Bar
Navigation
Full-Width Top Bar
Theme & density
Light · Airy
Corners & depth
Small Radius · Hairline borders
Preview full AI design brief (includes :root CSS variables & layout rules)Style tokens only; never copy brand names, logos, copy, or images
# Design Brief: Minimal Monochrome

Monochrome palette with a single accent color, hairline dividers, and generous whitespace.

## Design Tokens

```css
:root {
  --background: #ffffff;
  --surface: #eaf6fe;
  --foreground: #050510;
  --muted-foreground: #6b7787;
  --accent: #35a3ef;
  --radius: 4px;
  --font-heading: "Inter", ui-sans-serif, system-ui, sans-serif;
  --font-body: "Inter", ui-sans-serif, system-ui, sans-serif;
}
```

Color area ratio: Background #FFFFFF (~84%) · Surface #EAF6FE (~3%) · Text #050510 (~6%) · Muted Text #6B7787 (~3%) · Accent #35A3EF (~4%). Background and surface dominate the canvas; reserve the accent color for primary buttons and active states.

## Layout & Conversion Structure

- Hero layout: Centered Headline + CTA
- Navigation: Full-Width Top Bar
- Theme & density: Light · Airy
- Border radius & elevation: Small Radius; no drop shadows—separate layers with hairline borders and whitespace
- Primary visual medium: Pure Typography & Geometry
- Conversion CTA: Download App / Install Extension
- Headline hook: Category Positioning Anchor
- Spatial layout notes: Centered Headline + CTA hero structure paired with download app / install extension CTA and no explicit trust bar.
- Visual summary: Minimal Monochrome (Light canvas, airy density) featuring centered headline + cta layout and pure typography & geometry visuals.

## Avoid

- Multi-stop neon gradients
- Heavy drop shadows
- More than one competing accent color

Implement the UI following the design tokens and layout specifications above: use only these color variables, and reserve the accent color strictly for primary actions and active states. Adopt only this visual style—never copy any reference product’s brand name, logo, copy, or imagery.

Questions & evidence

How much website traffic does vLLM get?
Vaneform estimates 1M website visits in 2026-09. Visits can include repeat visits; this estimate does not measure paying customers or revenue.Source

Related products in this category

AI Models & Agents / Model Training & Inference Infrastructure

These products share a catalog category. Compare customer tasks, features and deployment requirements before treating them as alternatives.