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  4. vLLM
vLLM logo

vLLM

LLM Providers

Verified Publisher·Pending reviewVerified Adoption·Pending reviewEnterprise Ready·Pending review

High-throughput open-source inference and serving engine for LLMs with OpenAI-compatible APIs and production deployment patterns.

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Request intro

Developers also use

Generated from similarity, co-save, category, project, and adoption signals.

LMCache logo
LMCache

LLM Providers· lmcache.ai

Open source

KV-cache layer for LLM serving that reduces latency and cost for repeated or shared model context.

Why recommended

Same category

Keep evaluating vLLM

Comparisons, category adoption data, and shortlist guides that answer the questions this profile raises next.

Weigh vLLM against the alternatives

  • vLLM alternativesEvery llm providers product developers evaluate in place of vLLM.
  • vLLM vs LMCacheSide-by-side pricing, API surface, and adoption evidence.
  • vLLM vs OpenAI APISide-by-side pricing, API surface, and adoption evidence.
  • vLLM vs LiteLLMSide-by-side pricing, API surface, and adoption evidence.

Developer decision brief

Should I use vLLM?

High-throughput open-source inference and serving engine for LLMs with OpenAI-compatible APIs and production deployment patterns.

Open sourceDocs linked

Best for

  • LLM Providers decisions where you need a concrete shortlist.
  • Teams that prefer open-source or self-hostable options.
  • Builds that need an API-first integration path.

Watch-outs

  • Not enough verified adoption data yet.
  • Docs linked on this profile.
  • Repository linked for inspection.
  • No developer reviews yet.

Quickstart

No canonical install command detected. Open the docs or profile quickstart below.

Use quickstart hereDocsGitHubWebsite

Compare alternatives

vLLM vs LMCachevLLM vs OpenAI APIvLLM vs LiteLLM
Build with this

What you would get weekly

Save or follow vLLM to track rank movement, new alternatives, starter examples, benchmark/docs changes, and project activity. Default cadence is weekly.

No live product opportunities yet

You can still use the workbench: build a stack, publish proof, and follow starter challenge programs. New credits, workshops, and launch programs appear here once companies publish them.

Enterprise fit

Buyer brief for procurement and architecture review

Source-labeled signals for cost, reliability, security, integration, and adoption proof. Missing compliance evidence is shown as a gap, not guessed.

Compare for enterpriseExport brief
Inferred

Commercial model

Open source profile signal; exact enterprise terms need buyer review.

View source
Needs verification

Reliability

No status page, uptime, or SLA evidence attached

Buyer recommendation

Shortlist only after verifying Reliability and Security/compliance.

API signal supports workflow automation.Docs are linked for implementation review.Open-source path can reduce lock-in review.At least one buyer evidence source is linked or verified.

Real data backfill while adoption proof grows

These are source-linked enrichment paths for missing fields. They are treated as proxies until claimed-company data and first-party tokens& adoption events replace them.

GitHub repository APIfreeStars, forks, license, topics, releases, default branch, repo freshness, and public contributor signal.OpenSSF ScorecardfreeOpen-source security posture checks for repos before enterprise review.Wikidata company graph

Events / Tours

vLLM developer events

Hackathons, workshops, office hours, launches, and partner challenges tied to this product.

Claim or partner

No public events yet

Claimed teams can add hackathons, webinars, office hours, and challenges, then measure attendee to usage ROI.

Quickstart

Preparing vLLM docs pack
Streaming

The product profile is ready. Official docs, README snippets, and the AI paste pack are loading in the background.

Build context

Developer projects using vLLM

No public community builds yet. These starter examples are templates, not fabricated activity.

Publish your build
Starter example

Launch-week proof page for an agent tool

Template

Turn a fresh repo, demo, Show HN, or hackathon launch into a public proof page with stack notes, launch context, and real build evidence.

Built with

LangChain logoLangChainCrewAI logoCrewAILangSmith logoLangSmithOpenAI API logoOpenAI API
Import repo
Attach demo + launch link
Save stack
Publish proof
ComparePublish template
Starter example

Semantic search over product data

Template

Build a search experience that understands intent, supports filters, and can move from local prototype to hosted vector search.

Built with

Chroma logoChroma

Public credibility status

Claimable

This profile now separates verified proof from self-reported claims, so founders can improve status without buying rank.

Profile strength

41/100

Claimable profile · 6 gaps

Verified Publisher

Verify ownership through DNS or well-known file.

Verified Adoption

Connect SDK/API events to prove adoption.

Team Verified

Add founder/team proof.

GitHub

Repository linked

Docs

Docs linked

Security

Add SOC2/security/compliance proof.

Backers

Add verified backer proof.

Protocol/API

Agent-readable proof present

Freshness

Awaiting fresh proof.

Built by
V

vLLM team

Founder / team from vLLM Project

OSS MaintainerProtocol Ready
Proof file
ProofStateEvidence

Publisher ownership

Domain or organization claim · Live

Pending reviewUnclaimed profile45% confidence

Verified adoption

SDK/API/CRM telemetry · Pending

AgentRank trust profile

Public proof buyers and agents can trust

Claim this tool to see who is evaluating it

AgentRank

18

Adoption + trust composite

Trust Score

38

observed

Category Rank

Not ranked yet

LLM Providers

Protocols

API, SDK

Agent-readable metadata

Trust Registry

AgentRank evidence file
observed

Source breakdown

GitHub84,534

68% confidence

Protocol support

APISDK
Adoption over time
Last 8 weeksSmall cohort suppressed · trust 38

Timeline appears after verified events.

We do not draw a fake adoption chart before live usage, self-reported proof, or challenge activity exists for this product.

Suppressed

active developers

Unavailable

verified adoptions

Suppressed

retention

Your developer adoption profile is already visible.

Claim it to verify data, add integrations, and unlock adoption intelligence on developers and accounts evaluating vLLM.

Claim your tool

Developer identities

See the builders behind saves, docs clicks, API calls, and retained usage.

Talk to sales

Account map

Resolve developer activity into companies, teams, and enterprise accounts.

Developer identities, account mapping, retention cohorts, and competitor overlap are available on Growth and Enterprise plans.

About vLLM

High-throughput open-source inference and serving engine for LLMs with OpenAI-compatible APIs and production deployment patterns.

Resources
Official siteWEBSITE

Official product homepage or source page.

DocumentationDOCS

Builder documentation or implementation guide.

GitHub repositoryGITHUB

Public source repository used for verification.

Workspace actions

Sign up to save, follow, compare, publish builds, or verify ownership.

Public links
Visit WebsiteDocumentationGitHubView Alternatives3 Resources
GitHub Stats

84,534

Stars

18,580

Forks

5,494

Issues

Quick Info
PricingOpen source
Open sourceYes
API availableYes
Add to Your Project
[![vLLM on Adoption Intelligence](https://tokensand.com/api/badges/vllm)](https://tokensand.com/tools/llm-providers/vllm)
vLLM badge previewPreview

Add this badge to your README.md to show your listing on Adoption Intelligence.

9,971
1,440
Open source
Why recommended

Same category

OpenAI API logo
OpenAI API

LLM Providers· platform.openai.com

Freemium

Model APIs for assistants, embeddings, retrieval, and production AI apps.

Why recommended

Same category

API available
Why recommended

Same category

LiteLLM logo
LiteLLM

LLM Providers· litellm.ai

Open source

Open-source LLM gateway and SDK that standardizes access to 100+ model providers with routing, logging, guardrails, and spend controls.

Why recommended

Highly similar description

50,791
8,978
Open source
Why recommended

Highly similar description

llama.cpp logo
llama.cpp

LLM Providers· github.com

Open source

C and C++ runtime for local LLM inference, quantized model serving, and edge deployment workflows.

Why recommended

Highly similar description

119,072
20,177
Open source
Why recommended

Highly similar description

vLLM vs llama.cppSide-by-side pricing, API surface, and adoption evidence.

Check the adoption evidence

  • LLM Providers developers actually keep usingFiltered to products with verified usage events, cohort breadth, and retention.
  • AgentRank category rankingsHow every category is ordered by adoption proof, trust, and protocol support.
  • Best Open Source AI ToolsShortlist guide for this category, with the tradeoffs written out.
  • Best LLM API ProvidersShortlist guide for this category, with the tradeoffs written out.

Own vLLM? Generate its adoption badge embed, or claim the profile to send verified usage events.

Needs verification

Security/compliance

No security, trust, or compliance source attached

Source linked

Integration fit

API available with docs/profile signal

View source
Inferred

Adoption proof

Public saves/reviews indicate evaluator interest

Vendor value loop

Vendors receive anonymous aggregate evaluation demand by default. Account details are shared only after explicit buyer contact or consent.

Request vendor contact
free
Parent company, acquisition, and ownership hints to avoid misleading same-owner comparisons.
Qdrant logo
Qdrant
OpenAI API logoOpenAI API
Create embeddings
Tune chunking
Measure recall
Ship filters
CompareCompare vector stores
Pending review
GitHubWebsite

Team proof is pending until the product profile is claimed.

OSS MaintainerProtocol Ready
Owner checklist

Verified domain

+15

Verify publisher ownership to remove the unclaimed status gap.

SDK/API telemetry connected

+20

Connect SDK to unlock Verified Adoption.

Verified adoption badge

+10

Send enough verified adoption events to pass the cohort threshold.

Funding, backer, or security proof

+8

Add funding, backer, or security evidence to qualify for higher trust badges.

Improve profile
Pending review
Insufficient cohort50% confidence

Category rank

AgentRank methodology · Pending

Pending reviewRank pending40% confidence

Team proof

Domain, social, and team evidence · Live

Pending reviewTeam signal exists45% confidence

Security and enterprise readiness

Docs, compliance, protocol, and readiness signals · Pending

Pending reviewSecurity proof pending38% confidence
Share and embed

Public profile card

Share the product's rank, trust state, and top badges.

Open

Verified Adoption badge

README and website badge backed by telemetry.

Open
[![Verified Adoption](/api/badges/vllm?variant=verified)](https://tokensand.com/tools/llm-providers/vllm)

Top 10 badge

Unlocks automatically when the profile enters Top 10.

Open
[![Top 10](/api/badges/vllm?variant=top10)](https://tokensand.com/tools/llm-providers/vllm)

Team launch card

Founder/team credibility card for launch posts and investor updates.

Open

Weekly momentum card

Share rank movement and verified adoption growth.

EnterpriseOpen
Launch copy

vLLM is live as a public adoption profile: https://tokensand.com/tools/llm-providers/vllm. Verified proof beats vanity metrics.

Embed path: /api/badges/vllm?variant=verified · Profile: /tools/llm-providers/vllm

Tracked Developers

0

Known active developer activity

Profile Status

Unclaimed

Owner action needed

Agent-readable protocol evidence raises trust and commercial readiness.

Benchmark proof

Benchmarks attached

3 latest benchmark results linked to this profile.

Trust gaps

Verify publisher ownership
Send SDK/API telemetry

Enterprise verification can enrich evidence and export proof packages, but cannot buy rank.

Claim this tool to see who is evaluating it
Next best action

Claim vLLM before competitors use this profile as proof.

Connect usage events, resolve developer identities, and see which accounts are evaluating vLLM.

Claim this tool to see who is evaluating it
Talk to sales

Retention cohorts

Track first API call through 7/30/90-day retention and expansion.

Talk to sales

Competitor overlap

Find developers evaluating alternatives and switching between tools.

Talk to sales

Category benchmark

Compare activation, retention, and growth against your market.

Talk to sales

Recommended actions

Prioritized DevRel, product, and sales plays based on live adoption signals.

Talk to sales
Ship with vLLM in 60 seconds
Hackathon-readyShell

Auto-detected from official docs

pip
pip install vllm
Docs:Official DocsGitHubWebsite