Gaffa is a REST API built for web scraping and browser automation, allowing developers to run real, full browsers at scale with a single API call. It removes the difficulty of managing headless browser frameworks, rotating proxies, CAPTCHA solving, and scaling infrastructure, all of which are handled automatically.
JavaScript-heavy and dynamic websites render exactly as they would for a human visitor by default. Beyond standard scraping, Gaffa supports AI-driven structured data extraction (extract data into a defined schema without writing CSS selectors), screenshot and PDF capture, infinite-scroll and form-filling automation, and clean Markdown conversion for feeding webpages directly into LLM and RAG pipelines.
A rotating residential proxy network keeps access reliable across regions, and a credit-based pricing model means teams pay only for the browser time and bandwidth they actually use. Gaffa is designed for AI engineers, data teams, and developers who want production-grade web data extraction without having to build and maintain their own infrastructure.
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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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Enscape
Enscape™, a virtual reality and real-time rendering plugin for Revit SketchUp, Rhino SketchUp, Rhino Archicad, Vectorworks, and Vectorworks, is available. It plugs directly into your modeling program, giving you integrated visualization and design workflow.
It is an intuitive design tool that does not require any prior knowledge. It is possible to design, document, visualize, and visualize all from one model. This is the fastest and easiest way to transform your building models into immersive 3D experiences.
Your clients will have a unique experience with your designs. Enscape is used by 85 of the world's top 100 architecture firms.
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Design Flex
Design Flex is an advanced cloud-based solution created to simplify and enhance kitchen and bathroom design workflows. Built on the proven foundation of 2020 Design Live, it combines familiar tools with the power of cloud technology. Designers can work with accurate, continuously updated catalogs from real manufacturers, reducing costly mistakes and revisions. Real-time collaboration enables teams to review, edit, and refine designs together regardless of physical location. The software’s professional 3D design tools allow users to construct detailed rooms while managing dimensions, utilities, and layout requirements. High-end rendering capabilities produce immersive visuals that help clients clearly understand proposed designs. These lifelike images accelerate decision-making and build client confidence early in the sales process. Centralized project controls make it easier to track progress and manage multiple jobs at once. Cloud-based access minimizes IT complexity while keeping data secure and synchronized. Overall, Design Flex empowers businesses to move faster from design to revenue while adapting to changing work environments.
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