STACKIT
Schwarz Group cloud from Bad Friedrichshall whose AI Model Serving offers an OpenAI-compatible API on open models and states that no customer data is stored
Quick Overview
| Company | Schwarz Digits Cloud GmbH & Co. KG |
|---|---|
| Category | LLM API Providers |
| Headquarters | Bad Friedrichshall, Germany |
| EU Presence | EU (Germany) |
| Data Location | Germany: the AI Model Serving pricing table names the region Germany South |
| Open Source | No |
| Replaces | Azure OpenAI, AWS Bedrock |
Detailed Review
STACKIT AI Model Serving is a managed hosting environment for language models such as Llama and Mistral inside the STACKIT cloud. The documentation describes an inference API that is OpenAI compatible, auth tokens, rate limits, tool calling, vision, and tutorials for LangChain, retrieval-augmented generation and OpenCode.
The site footer names Schwarz Digits Cloud GmbH & Co. KG at Am Campus 1 in Bad Friedrichshall. The FAQ states that no customer data from requests is stored or used by STACKIT, that no model is trained on customer data, and that only open-source models are served. The AI Model Serving pricing table names the region Germany South, and the imprint page itself returned no content.
The pages read do not publish a token price, and point to the STACKIT calculator for costs, which could not be read as it loads in the browser.
What STACKIT does well
- No customer data from requests stored or used for training, per the FAQ
- OpenAI-compatible inference API with tool calling and vision
- Sits inside a full European cloud catalog
Where STACKIT falls short
- No token price on the pages read
- The shared-model list is selected by STACKIT, with manual instance selection not possible
- The imprint page returned no content, so the entity comes from the footer
Standout feature. It is the only provider here whose FAQ says plainly that the model is assigned by availability and cannot be picked by instance.
Pros and Cons
Pros
- No customer data from requests stored or used for training, per the FAQ
- OpenAI-compatible inference API with tool calling and vision
- Sits inside a full European cloud catalog
Cons
- No token price on the pages read
- The shared-model list is selected by STACKIT, with manual instance selection not possible
- The imprint page returned no content, so the entity comes from the footer
Alternatives to STACKIT
Frequently Asked Questions
What is STACKIT?
STACKIT AI Model Serving is a managed hosting environment for language models such as Llama and Mistral inside the STACKIT cloud. The documentation describes an inference API that is OpenAI compatible, auth tokens, rate limits, tool calling, vision, and tutorials for LangChain, retrieval-augmented generation and OpenCode.
Where is STACKIT based?
STACKIT operates from Bad Friedrichshall, Germany, which places it under EU (Germany).
What does STACKIT cost?
null.
Who is STACKIT best for?
Companies already on a Schwarz Group cloud that want a model API with no content stored. It is the only provider here whose FAQ says plainly that the model is assigned by availability and cannot be picked by instance.
What are the drawbacks of STACKIT?
No token price on the pages read. The shared-model list is selected by STACKIT, with manual instance selection not possible. The imprint page returned no content, so the entity comes from the footer.
Is STACKIT a good alternative to Azure OpenAI?
STACKIT is built as a European alternative to Azure OpenAI: Schwarz Group cloud from Bad Friedrichshall whose AI Model Serving offers an OpenAI-compatible API on open models and states that no customer data is stored. It will not be a like-for-like feature match in every respect, so check the review above for where the two genuinely differ before switching.
How does STACKIT compare to other LLM API Providers tools?
STACKIT is one of several European LLM API Providers tools we cover. It is most often compared with Azure OpenAI, AWS Bedrock.