This platform, developed by FPT, will provide an AI programming environment, combined with the computing power of Nvidia GPUs, to meet the specialized needs for research and training in AI development.
Exploiting FPT AI Factory's supercomputer infrastructure and the JupyterLab open source architecture, AI Notebook brings a pre-constructed AI development space with many high-performance GPU options. Users can quickly, intuitively inject, test and fine-tune the model, while only having to pay for GPUs ( Graphics processing).
AI Notebook simplifies infrastructure deployment and management compared to traditional JupyterLab, shortening the testing - AI training cycle at optimal costs. For universities and research institutes, the platform opens up a modern AI training environment, supporting centralized management and flexible resource allocation for each project, thereby promoting the development of new AI models and solutions.
AI Notebook has an intuitive interface, optimized for users to easily write and test code, exploit data, build and refine AI models. The working process is simpler and more convenient, helping to quickly realize ideas into a complete AI model.
With the Nvidia H100 and Nvidia H200 tensor Core GPU configuration options, this platform can meet the needs of all stages of AI model development, ensuring stable performance when expanding scale.
In addition, with powerful infrastructure operations according to NVIDIA standards, the platform ensures the research and development process takes place safely, comply with and is efficient. Users can freely create while data and workload are always comprehensively protected.
According to Mr. Le Hong Viet - representative of the platform developer, with AI Notebook, researchers, engineers, lecturers or students have a necessary tool in testing training and refining AI models.
