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LeaderGPU is a bare-metal GPU cloud and AI infrastructure platform that provides dedicated GPU servers for AI training, machine learning, high-performance computing, and enterprise workloads. They offer real hardware GPU servers with full root access, per-minute billing, CUDA-ready environments, and dedicated AI computing infrastructure instead of shared virtual machines. The platform supports a wide range of GPUs including RTX 3090, RTX 4090, NVIDIA H100, A100, RTX A6000, L40S, and Intel Habana Gaudi-2 for scalable AI and compute-intensive projects. LeaderGPU is suitable for AI developers, machine learning engineers, research teams, startups, enterprises, data scientists, and HPC professionals looking for flexible and high-performance GPU infrastructure in Europe.
They also provide features like per-minute billing, automated Ubuntu deployment with CUDA, 10 TB included traffic, GDPR-compliant EU data centers, ISO 27001-certified facilities, and deployment within 15 minutes for faster AI workflow setup. Users can choose from daily, weekly, monthly, or usage-based billing models while scaling workloads across multiple GPU configurations and dedicated hardware environments. The platform supports use cases like AI model training, deep learning, LLM workloads, GPU rendering, scientific computing, computer vision, image processing, and production AI deployments while maintaining enterprise-grade security and infrastructure reliability. Their ecosystem focuses on delivering dedicated GPU-as-a-service infrastructure with high availability, flexible pricing, and direct hardware control for advanced computing projects.
And the best part? They offer per-minute GPU billing starting from €0.02/minute, with entry-level dedicated GPU servers starting at €199/month, and users can begin with as little as €10 without requiring a credit card for registration.
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