ServerlessLLM
Serverless LLM Serving for Everyone.
- Status
- Generally available
- Last checked
- Checked · Oct 12, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
ServerlessLLM is an open-source project that provides a serverless framework to deploy and serve large language models. It aims to make it easy for developers to leverage the power of LLMs without managing infrastructure.
ServerlessLLM stands out by providing an open-source, community-driven solution for serverless LLM deployment, focusing on scalability and ease of use without the need to manage infrastructure.
When it fits — and when it doesn’t
A good fit for
Developers looking to deploy LLMs with minimal infrastructure management
Teams that need scalable solutions for model serving without upfront costs
Projects requiring rapid deployment of language models in a serverless environment
Look elsewhere if
Scenarios where real-time streaming is required (batch-only architecture)
Budget-constrained projects if additional cloud service costs are prohibitive
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited language support beyond Python
Primary development and documentation focus on Python, other languages have minimal support or are community-driven
- 02
Performance issues with large models
Serverless architecture can introduce latency spikes during cold starts for large LLMs
What it does well
Serverless deployment of LLMs
Scalable infrastructure for model serving
Community-driven and open-source
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up ServerlessLLM
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for ServerlessLLM’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
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