yAIT - TensorFlow GPU Optimized with Support by 4PT Inc

This is a repackaged open source software product wherein additional charges apply for AI Tool Dashboard (TensorFlow), enhanced with a modern web-based dashboard (GUI) that makes managing your AI environment simple and efficient. This Amazon Machine Image (AMI) called yAIT, has been designed to accelerate artificial intelligence and deep learning projects by combining GPU performance with a fully preconfigured software stack. From the very first launch, you get access to a production-ready environment that eliminates the need for complex setup 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. Options include Basic, Standard, Premium, Enterprise, and Custom, giving you the freedom to choose the right level of assistance. Whether you are just getting started with TensorFlow or running mission-critical enterprise workloads, you can count on dedicated support that fits your requirements. yAIT runs on Ubuntu 22.04, providing a secure and reliable foundation for cloud-based workloads. The AMI comes with TensorFlow preinstalled and fully optimized for NVIDIA GPUs, supported by CUDA, cuDNN, and all the necessary GPU drivers to guarantee seamless compatibility and maximum performance. By leveraging GPU acceleration, you can significantly reduce training times, improve inference speed, and achieve results faster than with traditional CPU-based environments. A key differentiator of yAIT is its integrated web-based dashboard, which makes administration intuitive and efficient. With this dashboard, you can create and manage dashboard users, configure SSH access without editing system files, and select different Python 3 versions for your projects. The dashboard also provides real-time monitoring of GPU utilization, memory consumption, and system performance. It generates detailed reports that allow you to analyze GPU usage over time, detect bottlenecks, and optimize workloads for maximum efficiency. This combination of GPU acceleration, TensorFlow and a management dashboard makes yAIT an ideal choice for researchers, developers, and enterprises that need both high performance and ease of use. Complex AI tasks such as image recognition, natural language processing, and large-scale training become faster and more predictable, allowing 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 deep learning workloads. yAIT is designed to be flexible and enterprise-ready. It adapts to different stages of your AI journey, from experimentation and prototyping to full-scale deployment in production environments. The preinstalled environment saves time by removing the burden of manual configuration, while the dashboard simplifies ongoing operations. Instead of troubleshooting dependencies or system compatibility, your team can immediately begin innovating, experimenting, and delivering results. With yAIT, you gain a complete GPU-accelerated TensorFlow environment built on Ubuntu 22.04, enhanced with CUDA, cuDNN, and a modern management dashboard. It delivers speed, reliability, and simplicity in a single AMI, ready to launch directly from AWS. By combining performance with usability, yAIT reduces time-to-market, scales easily with your business, and enables you to focus on innovation and results instead of system setup.