yAIT - Keras (TF) GPU Optimized with Support by 4PT Inc

This is a repackaged open source software product wherein additional charges apply for AI Tool Dashboard (TensorFlow), experience the power of Ubuntu 22.04 + GPU + AI Tool Dashboard (Keras-TF), 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 Keras (TensorFlow backend) environment. From the very first launch, you gain access to a production-ready system that eliminates the complexity of manual setup and allows you to focus entirely on innovation and results.

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 cloud workloads. The AMI comes preinstalled with Keras, TensorFlow, CUDA, cuDNN, and NVIDIA GPU drivers, ensuring seamless compatibility and high performance. By leveraging GPU acceleration, developers and researchers can significantly reduce training time, improve inference speed, and run larger models with efficiency and stability.

One of the unique features of yAIT is its integrated web-based dashboard that makes system management easier than ever. Through this dashboard, you can create and manage dashboard users, configure SSH access, and select between Python 3 versions for different projects. The dashboard also provides real-time monitoring of GPU utilization, memory consumption, and performance statistics, along with the ability to generate detailed reports that help optimize workloads and identify bottlenecks.

With the combination of Keras and TensorFlow running on NVIDIA GPUs, yAIT makes deep learning accessible and efficient. Complex tasks such as image classification, natural language processing, and advanced neural networks become faster and more scalable, enabling teams to iterate quickly and deploy production-ready models with confidence. The inclusion of CUDA and cuDNN guarantees industry-standard reliability and unlocks the full potential of GPU acceleration.

yAIT is built for flexibility and enterprise readiness, adapting seamlessly to different stages of your AI journey. From rapid prototyping and experimentation to full-scale deployment, the environment provides the speed, simplicity, and reliability required for modern deep learning projects. Instead of dealing with configuration issues and dependency management, your team can dedicate its time to building models and generating value.

To ensure success, yAIT provides multiple support plans including Basic, Standard, Premium, Enterprise, and Custom. These options give you the freedom to select the right level of assistance for your projects, whether you are just beginning your AI journey or running mission-critical enterprise workloads.

With yAIT, you gain a complete GPU-accelerated Keras (TensorFlow) environment on Ubuntu 22.04, fully integrated with CUDA, cuDNN, and a modern management dashboard. It delivers speed, reliability, and ease of use in a single AMI, ready to launch directly from AWS. By reducing setup time, increasing productivity, and ensuring scalability, yAIT empowers you to focus on innovation and deliver impactful deep learning solutions.