Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe.
Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint.
Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside compute.
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Servers.com by Nexcess delivers hybrid bare metal cloud hosting solutions that give businesses greater control over their infrastructure while maintaining the flexibility needed to grow. Its portfolio includes Scalable Bare Metal for on-demand capacity, Enterprise Bare Metal for customized deployments, AI Compute for GPU-powered workloads, and Managed Kubernetes for containerized applications. The platform is built to accommodate organizations that require reliable performance, security, and predictable infrastructure management. Through a network of data centers across multiple continents, customers can deploy services closer to their users and minimize latency. Businesses in industries such as gaming, financial services, advertising technology, streaming, SaaS, and Web3 rely on the platform to support high-demand operations. The infrastructure is designed to handle traffic spikes, intensive computing requirements, and geographically distributed workloads. Advanced networking capabilities and direct connectivity options help optimize application responsiveness and uptime. Organizations can combine different infrastructure offerings to create environments that align with their operational and budget requirements. By providing scalable and customizable bare metal solutions, Servers.com helps businesses maintain performance while adapting to changing market demands.
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Runpod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, Runpod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, Runpod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.
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IONOS offers GPU Servers that deliver a high-performance computing framework aimed at managing tasks that demand significantly more power than standard CPU systems can provide. This infrastructure features top-tier NVIDIA GPUs, including the H100, H200, and L40s, in addition to specialized AI accelerators like Intel Gaudi, facilitating extensive parallel processing for demanding applications. By utilizing GPU-accelerated instances, the cloud infrastructure is enhanced with dedicated graphical processors, enabling virtual machines to execute intricate calculations and handle data-heavy tasks at a much faster rate compared to traditional servers. This solution is especially well-suited for fields such as artificial intelligence, deep learning, and data science, where training models on extensive datasets or executing rapid inference processes is necessary. Furthermore, it accommodates big data analytics, scientific simulations, and visualization tasks, including 3D rendering or modeling, that necessitate substantial computational capacity. As a result, organizations seeking to optimize their processing capabilities for complex workloads can greatly benefit from this advanced infrastructure.
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