IONOS provides GPU Servers that create a powerful computing environment tailored for handling tasks requiring much greater power than conventional CPU systems can offer. This setup includes high-quality NVIDIA GPUs, such as the H100, H200, and L40s, alongside dedicated AI accelerators like Intel Gaudi, which support extensive parallel processing for resource-intensive applications. With GPU-accelerated instances, the cloud infrastructure is further improved by integrating dedicated graphical processors, allowing virtual machines to perform complex calculations and manage data-heavy operations considerably more swiftly than standard servers. This solution is particularly advantageous in sectors like artificial intelligence, deep learning, and data science, where it is crucial to train models on large datasets or conduct fast inference processes. Additionally, it supports big data analytics, scientific simulations, and visualization tasks requiring significant computational strength, such as 3D rendering and modeling. Consequently, organizations aiming to enhance their processing power for intricate workloads can reap substantial benefits from this sophisticated infrastructure, making it an ideal choice for modern computational demands. Moreover, the flexibility of this service allows businesses to scale their resources according to project requirements, ensuring efficient performance across various applications.
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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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CrowdRender
Render Farms harness the power of multiple computers to accelerate the rendering process for 3D animations and static images. Our software allows you to effortlessly create a render farm using your current hardware, which can drastically reduce rendering times. By simply linking two or more computers to the same Wi-Fi or Ethernet network, you can achieve much faster rendering results with minimal fuss. Designed for convenience, our user-friendly software features a one-click installation process that requires no technical skills or complicated setups. It is fully compatible with Blender for rendering, supporting both the Cycles engine and EEVEE rendering, and includes an add-on that integrates seamlessly with Blender to ensure a streamlined workflow. Additionally, we provide bi-weekly updates on product listings from NewEgg for selected GPUs from various manufacturers, keeping you well-informed about the latest hardware options. Our management portal facilitates the quick installation of software across all your computers, enabling you to deploy updates or new applications to every node with just a few clicks. This efficient process not only saves time but also minimizes expenses associated with cloud storage and computing services, positioning it as a cost-effective solution for your rendering requirements. Ultimately, our approach empowers you to enhance productivity while avoiding the common challenges linked to software management, which can often lead to frustration and downtime.
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CloudRender.farm
CloudRender Farm serves as a web-based rendering platform that aids 3D artists in accelerating their intricate projects while keeping their personal machines free for modeling and animation tasks. With ease, users can bundle their projects and upload them, selecting software-specific rendering settings through the website or the integrated Blender submitter. Additionally, they can track the rendering process in real-time and conveniently download the rendered frames once the task is finished. The service smartly optimizes the rendering machines according to the number of frames submitted, providing scalable computing resources without the hassle of waiting in queues or maintaining an internal render farm. It supports a diverse range of both modern and legacy software versions, including Blender, Maya with Arnold or Redshift, Cinema 4D with Redshift or Arnold, and Houdini with Mantra, Redshift, or Arnold. Moreover, users have the option to develop additional software versions and customized machine images tailored to their specific production requirements, thus enhancing flexibility and efficiency within their workflows. This level of adaptability positions CloudRender Farm as an excellent choice for artists eager to optimize their rendering tasks, ultimately allowing them to focus more on their creative endeavors.
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