yAIT - RAPIDs GPU Optimized with Support by 4PT Inc

This is a repackaged open source software product wherein additional charges apply for AI Tool Dashboard (RAPIDs), Experience the power of Ubuntu 22.04 + GPU + AI Tool Dashboard (RAPIDS cuDF/cuML), enhanced with a modern web-based dashboard (GUI) that makes managing your AI and data science environment simple and efficient. This Amazon Machine Image (AMI), called yAIT, is designed to accelerate data analytics, machine learning, and AI projects by leveraging the RAPIDS suite of libraries together with NVIDIA GPUs. From the very first launch, you gain access to a production-ready environment that removes the complexity of setup and allows you to focus entirely on transforming data into insights.

This is a repackaged open source software product wherein additional charges apply for support plans that match your needs. yAIT runs on Ubuntu Server 22.04, a secure and enterprise-grade Linux distribution optimized for the cloud. The AMI comes preinstalled with RAPIDS libraries such as cuDF for GPU-accelerated dataframes and cuML for machine learning, fully integrated with CUDA, cuDNN, and NVIDIA GPU drivers. By taking advantage of GPU acceleration, RAPIDS workflows achieve massive performance gains over CPU-based systems, enabling faster ETL, scalable analytics, and efficient machine learning at scale.

A unique feature of yAIT is its integrated web-based dashboard, which simplifies the management of your environment. The dashboard allows you to create and manage users, configure SSH access, and select different Python 3 versions for specific projects. It also offers real-time monitoring of GPU utilization and performance, along with detailed usage reports that help you optimize workloads and make smarter resource decisions. With RAPIDS, you can seamlessly accelerate common data science tasks such as data preprocessing, feature engineering, and model training, all powered by NVIDIA GPUs. Workflows that normally take hours or days on CPUs can be completed significantly faster, giving teams the ability to iterate quickly and scale data-driven projects with confidence. Combined with CUDA and cuDNN, RAPIDS ensures maximum performance and compatibility with modern AI and ML pipelines.

yAIT is enterprise-ready and adapts to all stages of the data science and AI journey. Whether you are experimenting with exploratory analysis, building machine learning models, or deploying large-scale data pipelines, yAIT provides the speed, flexibility, and reliability required for production-grade environments. By eliminating setup complexity and providing a centralized dashboard, it allows teams to focus on insights and innovation rather than infrastructure management.

To support your needs, yAIT includes multiple support plans including Basic, Standard, Premium, Enterprise, and Custom, ensuring you have the right level of expert guidance at every stage. Whether you are just starting with RAPIDS or managing mission-critical analytics, you can rely on dedicated support to maximize success.

With yAIT, you gain a complete GPU-accelerated RAPIDS environment on Ubuntu 22.04, enhanced with CUDA, cuDNN, and a powerful management dashboard. It delivers performance, simplicity, and scalability in a single AMI, ready to launch directly from AWS. By combining GPU acceleration with usability, yAIT shortens time-to-insight, reduces costs, and enables faster, more efficient data-driven innovation.