Sovereign AI Inference for Europe: Polarise Drive

Sovereign AI Inference for Europe: Polarise Drive

Marc Gazivoda Marc Gazivoda
ai, drive, sovereignty, germany, europe, polarise

Every AI feature runs on the same thing underneath: inference. Someone has to actually run the model when a user sends a request. Today, most of that happens on infrastructure outside Europe, even when the product itself is built by a European company.

Polarise Drive changes where that inference happens, without changing how you build.

What Polarise Drive Is

Polarise Drive is a managed inference platform built on two components: a Model Gateway for standardized access to AI models, and an Agentic Engine for building and running AI agents (upcoming). Both work standalone, and both work together.

The Model Gateway is OpenAI SDK compatible. If your product already talks to an OpenAI-compatible API, you don’t rewrite anything. You change the base URL and the API key, and requests start running on Polarise infrastructure instead.

Sovereign AI Inference, in Practice

“Sovereign AI” gets used loosely. In practice, it means one thing: your data is processed under a legal framework you actually control. Polarise Drive runs on European infrastructure, operated by a European legal entity, under EU law. That means: Polarise owns the full stack from infrastructure to token, without third party risk.

This matters for any company handling customer data, regulated data, or anything falling under the EU AI Act, where the question isn’t just “is my provider fast enough,” it’s “who can access this data, and under which jurisdiction.”

Models Built for Different Jobs

Drive gives you access to a growing collection of open-weight models.

Available today:

ModelProviderTask
GLM_5.2Zhipu AIText Generation (general-purpose)
Qwen_3.8-27bQwenText Generation
Nemotron_3-ultraNvidiaText Generation
Deepseek_v4-flashDeepSeekText Generation

Upcoming:

ModelProviderTask
Mistral Large 3Mistral AIText Generation
Mistral Medium 3.5Mistral AIText Generation
Kimi K2.7 CodeMoonshot AICode Generation
gemma-4-31bGoogleVision / Image-to-Text
DeepSeek-OCRDeepSeek AIOCR / Document Understanding
EmbeddingGemma-300MGoogleEmbeddings
Qwen3-Reranker-4BQwenReranking
Qwen3-ASRQwenSpeech-to-Text
GLM-ASR-NanoZhipu AISpeech-to-Text

New models are added monthly. Don’t see what you need? to reach out and we’ll add it.

Getting Started

There’s no migration project. You create an account, generate an API key, and point your existing integration at the new endpoint. If you’re already using an OpenAI-compatible setup, that’s the entire change.

import openai
import os

client = openai.OpenAI(
    api_key=os.environ.get("POLARISE_API_KEY"),
    base_url='https://api.drive.polarise.com/v1'
)

completion = client.chat.completions.create(
    messages=[{
        'role': 'user',
        'content': 'Summarise this contract clause.'
    }],
    model='glm-5.2'

)

Want to see how fast this actually is? to request access or explore documentation.

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Thimo Groneberg - CCO

Thimo Groneberg

CCO

@Polarise