vLLM is a ai platform designed for production use, with strong extensibility, automation hooks, and reliable performance across common deployment environment�
What is vLLM?
vLLM is a ai platform designed for production use, with strong extensibility, automation hooks, and reliable performance across common deployment environment�
SubcategoryAI Platform
VersionLatest
Price€49,00
What is vLLM?
Introduction to vLLM — what it does and who it is for.
What do you need to run vLLM?
System requirements, OS support, and hardware needs for vLLM.
vLLM runs on Any. It requires 512 MB RAM.
| Operating system | |
|---|---|
| Devices | |
| Memory | 512 MB RAM |
How much does vLLM cost?
Pricing plans, license type, and availability for vLLM.
vLLM is a paid product, starting at $49.0 USD.
| Price summary | €49,00 (Open Source) |
|---|---|
| Availability | Available |
What is vLLM used for?
Key features, use cases, and capabilities of vLLM.
vLLM's key features include Orchestration, Inference API, Agents/tools, Observability, Deployment, and Integrations.
Key features
- ✓Orchestration
- ✓Inference API
- ✓Agents/tools
- ✓Observability
- ✓Deployment
- ✓Integrations
Use cases
- ✓Supporting common workflows for teams
Who should use vLLM?
Target users, industries, and ideal use cases for vLLM.
vLLM is best suited for developers, particularly in technology; startups; enterprise, and supports use cases such as supporting common workflows for teams.
| Industries | |
|---|---|
| Target audience | Developers |
How is vLLM deployed?
Deployment options, API, and hosting for vLLM.
vLLM can be deployed on web; api, with self-hosting available, and the source code is openly available.
| API integration | ✗ |
|---|---|
| Open source | ✓ |
| Self-hosting | ✓ |
How do you get started with vLLM?
Installation and onboarding steps for vLLM.
To get started with vLLM, go to https://docs.vllm.ai, and review the documentation at https://docs.vllm.ai.
What are the pros and cons of vLLM?
Balanced review of strengths and weaknesses of vLLM.
vLLM's strengths include good security posture and permission model, active community and frequent updates, flexible configuration for different teams, thoughtful ux and workflow design, integrates well with common tools and platforms. On the downside, users note that pricing can be difficult to predict at scale, customization may require engineering time, ecosystem plugins vary in quality.
| Pro | Con |
|---|---|
| Good security posture and permission model | Pricing can be difficult to predict at scale |
| Active community and frequent updates | Customization may require engineering time |
| Flexible configuration for different teams | Ecosystem plugins vary in quality |
| Thoughtful UX and workflow design | |
| Integrates well with common tools and platforms |
Where can you learn more about vLLM?
Documentation, support, and official links for vLLM.
Documentation: https://docs.vllm.ai | GitHub: https://github.com/docs | Developer site: https://docs.vllm.ai
| Website | Website |
|---|---|
| Documentation | Documentation |
| Source code | Source code |
| Get started | Get started |
| Install | Install |
Screenshots & media
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