What is Trooper.AI?

Trooper.AI offers private, EU-hosted bare-metal GPU servers (Blibs) for AI model training, fine-tuning, and inference.

Instant setup with one-click templates (OpenWebUI, ComfyUI, Jupyter Notebook, Ubuntu Desktop, FramePack) lets developers and data scientists start projects without manual environment configuration.

Servers include full root SSH access, persistent NVMe SSD storage, tested CUDA drivers on Ubuntu 22.04, and UI/API management for provisioning and scaling.

Pause or freeze instances to reduce runtime costs, upgrade resources without reinstalling, and run multiple pre-built templates on a single machine.

Hardware options cover consumer and professional GPUs (examples, RTX 4090, A100, RTX Pro 6000) and a range of CPU, RAM, and storage configurations for diverse workloads.

Automatic backups, monitoring, and 24/7 support address operational needs while upcycled hardware and renewable energy operation contribute to sustainability.

Trooper.AI pricing Freemium

Explorer $83

Novadrive $87

Conqueror $110

Sparbox $130

Paladin $153

Novatesla $160

Powerai $240

Darkrock $340

Stellarai $370

Infinityai $437

Hyperionai $650

Verify on the official pricing page.

View plans

Trooper.AI user reviews

Would you recommend Trooper.AI?

Recommend this tool?

Trooper.AI's key features

One-click deployable pre-built AI templates (OpenWebUI, ComfyUI, Jupyter Notebook, Ubuntu Desktop, FramePack, A1111, etc.)
100% bare-metal GPU servers with full root SSH access and high-speed NVMe persistent storage
Pause/freeze servers with persistent full-machine state and ability to resume; upgrade resources anytime without reinstalling
Easy management via web UI and API, including free SSL on public ports, automatic backups and 24/7 monitoring
EU-hosted data centers (operated from Germany) compliant with GDPR and EU AI Act; Ubuntu 22.04 LTS with fully tested drivers and CUDA

Trooper.AI use cases

Fine-tune large transformer models on EU-hosted private bare-metal GPUs using one-click AI environment templates and persistent NVMe storage for reproducible experiments, with full root SSH access for custom dependencies and pause/upgrade controls to optimize costs
Deploy low-latency inference endpoints for sensitive EU user data on private GPU servers, leveraging tested CUDA on Ubuntu 22.04 and scalable hardware to serve production models securely and sustainably with persistent NVMe for model artifacts
Run cost-efficient, high-performance training pipelines for computer vision and multimodal research using preconfigured ML templates, pausable GPU instances to suspend idle workloads, and full root access to integrate custom tooling while ensuring data remains on EU-hosted infrastructure