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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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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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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CheapTokens
CheapTokens offers a pay-as-you-go API service tailored for developers who are creating AI agents, coding workflows, and applications utilizing open-weight language models. The platform features a model catalog that highlights various families, including DeepSeek, GLM, and MiniMax. It supplies API endpoints that are compatible with both OpenAI and Anthropic, allowing developers to utilize existing tools seamlessly. By using a CheapTokens API key, a base URL, and a model ID, developers can easily connect to the supported resources. The billing operates from a prepaid USD balance, charging separate rates for input and output tokens, and eliminates the need for a monthly subscription. Pricing is transparently outlined per million tokens used. Additionally, the website offers comprehensive API documentation, practical request examples, and detailed integration guides for various coding assistants and agent tools, ensuring developers have the resources they need for effective implementation. This combination of accessible pricing and robust support makes CheapTokens an appealing choice for many in the developer community.
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