yAIT - PyTorch GPU Optimized with Support by 4PT Inc

This is a repackaged open source software product wherein additional charges apply for AI Tool Dashboard (PyTorch), Experience the power of Ubuntu 22.04 + GPU + AI Tool Dashboard (PyTorch), enhanced with a modern web-based dashboard (GUI) that makes managing your AI environment simple and efficient. This Amazon Machine Image (AMI), called yAIT, is designed to accelerate artificial intelligence and deep learning projects by combining GPU performance with a fully preconfigured PyTorch environment. From the first launch, you gain access to a production-ready setup that removes the complexity of manual installation and allows you to focus entirely on building and scaling your AI solutions. 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 modern Linux foundation optimized for enterprise workloads. The AMI comes preinstalled with PyTorch, CUDA, cuDNN, and NVIDIA GPU drivers, ensuring maximum compatibility and performance. By leveraging GPU acceleration, PyTorch workloads such as model training, inference, and large-scale experimentation become faster, more reliable, and highly efficient compared to traditional CPU-based environments. One of the defining features of yAIT is its integrated web-based dashboard. This interface provides intuitive management of dashboard users, SSH access, and multiple Python 3 versions, giving you the flexibility to adjust environments for specific project needs. The dashboard also includes real-time GPU performance monitoring, detailed usage statistics, and report generation to optimize workloads and identify performance bottlenecks. With this tool, you gain full visibility and control over your AI infrastructure without relying on manual configuration. By combining GPU acceleration, PyTorch, and an integrated management dashboard, yAIT offers both performance and simplicity. Complex AI tasks such as natural language processing, computer vision, and reinforcement learning become more predictable and scalable, enabling teams to iterate quickly and deploy solutions into production with confidence. The integration of CUDA and cuDNN ensures industry-standard compatibility while unlocking the full potential of NVIDIA GPUs for research and enterprise workloads. yAIT is enterprise-ready and adapts seamlessly to different stages of the AI journey, from research and prototyping to production-level deployment. The environment is designed to minimize setup and maintenance, saving valuable time and allowing teams to focus on innovation rather than infrastructure management. With its optimized configuration and intuitive dashboard, yAIT makes scaling AI projects on AWS both efficient and straightforward. To ensure long-term success, yAIT provides flexible support plans including Basic, Standard, Premium, Enterprise, and Custom. These plans allow you to choose the right level of assistance depending on your needs, whether you are experimenting with small projects or managing mission-critical enterprise applications. With yAIT, you gain a complete GPU-accelerated PyTorch environment built on Ubuntu 22.04, enhanced with CUDA, cuDNN, and a powerful management dashboard. It delivers speed, reliability, and simplicity in a single AMI, ready to launch directly from AWS. By combining ease of use with enterprise-grade performance, yAIT reduces time-to-market, scales seamlessly with your business, and empowers you to focus on achieving real results with PyTorch.