The Sovereign
AI Cloud
Built for Europe. Ready for the world.
Inference, GPU instances and dedicated clusters running on our own NVIDIA servers in Lyon and Paris. Your data stays in France, with the performance of the latest Blackwell GPUs.
No commitment required · Free playground in the console
Your AI runs on hardware we own. In France.
Sovereignty shouldn't depend on someone else's cloud. Arkane Cloud operates its own GPU servers in colocation datacenters in Lyon and Paris, so you always know where your models and data run, and who operates them.
01
Proprietary infrastructure
Our own NVIDIA GPU servers, hosted in colocation datacenters in Lyon and Paris. No third-party hyperscaler in between.
02
Your data stays in France
Prompts, datasets and model weights stay in France, on infrastructure operated by a French company. GDPR-aligned by default.
03
Up to 65.7% lower costs*
Transparent per-token and hourly pricing, discounts on reserved capacity and no surprise egress fees.
04
Experts, from POC to production
Our GPU engineers size, deploy and optimize your stack with you, and stay alongside you as you scale.
Four ways to run AI. One sovereign cloud.
Start with a simple API call, deploy your own models, take full control of GPU instances or reserve a dedicated cluster. Every option runs on our own infrastructure in France.
Inference
Call 30+ open-source models through a single OpenAI-compatible API. No GPU to manage, nothing to set up.
Best for: apps, coding, chatbots and agents in production
Explore AI Endpoints →Serverless GPU
Run any model on the GPU of your choice, billed per second. Scale to zero when idle, with an OpenAI-compatible endpoint.
Best for: apps, coding, chatbots and agents in production, custom or fine-tuned models, variable traffic
Explore Serverless GPU →Cloud GPU
On-demand NVIDIA GPU instances with full control over your environment, billed per second.
Best for: training, fine-tuning and R&D
Explore Cloud GPU →GPU Clusters
Dedicated multi-GPU clusters with managed Kubernetes or Slurm and premium support from our GPU engineers.
Best for: large inference volume, large-scale training, and enterprise workloads
Request a cluster →Deploy 30+ models with ease
Instant access to today’s most in-demand AI models for seamless integration.
From first prompt to autonomous agents.
Whatever your AI maturity, experimenting, piloting or scaling, the same sovereign platform covers every stage of the AI lifecycle.
Inference
Serve LLMs and multimodal models with low latency, thanks to FP8/FP4 quantization, optimized vLLM and proprietary CUDA kernels.
Runs on: AI Endpoints · Serverless GPUTraining
Train your models on the latest NVIDIA GPUs, from a single instance to a dedicated multi-GPU cluster, with your data kept in France.
Runs on: Cloud GPU · GPU ClustersFine-tuning
Adapt open-source models to your proprietary data without it ever leaving your control, then serve them on the same platform.
Runs on: Cloud GPU · Serverless GPUAgentic AI
Power multi-step AI agents with instant scaling and no queuing. Compatible with LangChain, CrewAI and AutoGen, without lock-in.
Runs on: AI Endpoints · Serverless GPU
New · VS Code extension
Coding
Use open-source coding models like Kimi, GLM, DeepSeek or Qwen directly in VS Code chat and agent mode, with tool calling. Your code and prompts are processed on our GPUs in France.
1 Install the extension · 2 Paste your API key · 3 Pick a model
Runs on: AI Endpoints Get the VS Code extension →GPU capacity, available now.
Looking for GPU capacity? We run the latest NVIDIA Blackwell GPUs on our own servers in Lyon and Paris. Tell us what you need and we'll size the right capacity with you.
NVIDIA B300
Blackwell architecture · 288 GB HBM3e
Frontier-scale training and high-throughput inference for the largest models.
Request capacity →NVIDIA RTX PRO 6000
Blackwell architecture · 96 GB GPU memory
Cost-efficient inference, fine-tuning and multimodal workloads.
Request capacity →Dedicated GPU clusters
Private clusters with managed Kubernetes or Slurm, reserved capacity and premium support from our GPU engineers.
B300, RTX PRO 6000 and VR200 clusters
Request a cluster →Explore the full fleet: B300 · B200 · H200 · H100 · A100 · L40S · All GPUs →
Run your AI on sovereign infrastructure.
Start from the console, or talk to our team about dedicated capacity.
* Median gap between Arkane Cloud and the median of hyperscalers on comparable GPUs, as of July 30, 2026. Hyperscalers compared: Google Cloud, AWS Bedrock, Microsoft Azure and Oracle Cloud. Savings can reach up to 83% on NVIDIA B200 180GB versus Microsoft Azure.