From AI proof of concept to production, at your own pace.
Every AI project starts small. We support you according to your maturity: test first, grow on serverless, then move to dedicated GPUs once your volume and budget are clear. Take our free AI maturity assessment to find where you stand.
Free assessment · 8 questions · Personalized roadmap
A path that grows with your project.
You don't need a GPU cluster on day one. Each stage builds on the previous one, on the same console and the same account, so you only commit when your project is ready.
Create your account
Sign up in the console and try open-source models in the free playground: 10 free requests.
Create an account →Test with the Models API
Call 30+ open-source models through an OpenAI-compatible API and validate your use case. Nothing to deploy.
Explore Models API →Grow on Serverless GPU
When traffic grows or you need your own model, deploy it on the GPU you choose, with scale-to-zero.
Visit Serverless GPU →Plan your budget
Once usage is steady, our team helps you project costs and compare on-demand, reserved and hybrid options.
Talk to our team →Scale on dedicated GPUs
Move to Cloud GPU instances (NVIDIA GPUs hosted in Europe, 1 to 8 GPUs) or reserve a GPU cluster on our own servers in Paris and Lyon for 2 to 5 years, with InfiniBand, managed Kubernetes or Bare Metal deployment.
Explore GPU Clusters →Commit only when you're ready.
Moving from a proof of concept to production is a series of decisions: which models, which GPUs, which budget. We help you make each one with real usage data, not guesses.
Start small, no commitment
Pay as you go, per token or per second. No setup fees, no minimum spend while you validate your use case.
One platform, every stage
The same console and the same account from your first API call to a dedicated GPU cluster. No migration between providers.
Sovereign from day one
The Models API, Serverless GPU and GPU Clusters run on our own NVIDIA B300 and RTX PRO 6000 servers in Paris and Lyon, and Cloud GPU instances are hosted in Europe. Your prompts and outputs are never used to train models.
Take the AI maturity assessment.
Answer 8 quick questions and get a personalized roadmap: the stage you're at, the products and GPUs that fit, and your next steps.
Your AI maturity level
Your roadmap
The 4 AI maturity levels
The assessment places your project on one of four levels. Each level comes with the products that fit it best.
Explore
You're testing what AI can do for your business and want to validate a use case quickly, without infrastructure or commitment.
Fits: Models API, free playground in the console
Build
You're integrating models into a product and need the right models on a simple, pay-as-you-go API.
Fits: Models API, then Serverless GPU
Grow
Your usage is increasing and you need more control over models and costs: time to run your own models and plan your budget.
Fits: Serverless GPU, Cloud GPU
Scale
You need dedicated, predictable capacity: reserved GPUs sized for your workloads, with room for peaks.
Fits: GPU Clusters reserved for 2 to 5 years, Cloud GPU, Serverless GPU for peaks
What the assessment covers
Eight questions, one per dimension. Data sensitivity doesn't change your level, it shapes your recommendations.
Project stage
Where your main AI project is today, from a first idea to production at scale.
Model usage
How you use AI models today: a third-party API, open-source models or self-hosted models.
Expected volume
The monthly request volume you expect, as a rough order of magnitude.
Customization
Whether you need a custom or fine-tuned model, now or later.
Traffic pattern
How predictable your traffic is, from spiky to steady around the clock.
Data sensitivity
How sensitive the data you process is, from public to regulated or highly confidential.
Budget
How clear your AI budget is, from no budget yet to reserved capacity.
Team
Who builds and runs your project, from software developers to an MLOps platform team.
Questions about our approach
Is the AI maturity assessment free?
Yes. The assessment is free and takes about two minutes. You see the first step of your roadmap right away, and you receive the complete roadmap by entering your email.
What are the four maturity levels?
Explore (you're testing ideas), Build (you're integrating models into a product), Grow (your usage is increasing and you need more control) and Scale (you need dedicated, predictable capacity). Each level maps to the products that fit it best.
Do I have to follow every stage?
No. The path is a guide, not a requirement. Some teams start directly on Serverless GPU or Cloud GPU. The assessment simply points you to where it makes sense to start.
What do you do with my email?
We use it to send your roadmap and, if relevant, to follow up about your project. You can unsubscribe at any time. See our privacy policy for details.
Can I talk to someone instead?
Of course. Our team can review your project, your current usage and your budget with you. Contact sales to book a call.
Is this an AI readiness assessment?
Yes. It assesses how ready your project is to move from proof of concept to production: your use case, data, traffic, budget and team. You get your maturity level and a personalized roadmap.
How do the 4 levels map to the 5 stages?
Explore covers stages 1 and 2, Build stages 2 and 3, Grow stages 3 and 4, and Scale stage 5.
Ready for your next step?
Start in the playground today, or talk to our team about where your project is heading.
Free playground: 10 free requests · No commitment