Artificial intelligence AI is an application that runs deep learning models, and continuously analyze huge amounts of data. The whole process requires a lot of storage and computing power, The process of deep learning requires a large number of simple and repetitive iterative operations. The GPU computing power of the PELADN high-performance computer cluster can be used for different algorithm models and different deep learning frameworks. Help users through large-scale machine learning and deep learning applications, Realize application requirements such as data preprocessing, model training, and application reasoning.
Unified cluster Management
Centralized management of computing resources of all GPU, network, storage and other hardware systems, and unified allocation and scheduling. In the way of dynamic allocation, allocate resource pools to different computing projects to efficiently realize data processing and data recycling.
Unified Operation Maintenance
Real-time monitoring of hardware resource usage and cluster status, including hardware usage, device health, working status, etc. And analyze the resource occupancy of each category, and provide an early warning mechanism.
Unified Development Environment
Provide a one-stop interactive development operation interface to help users complete core functions such as script online editing, model training, model verification, and model reasoning. Combined with hardware resource visualization. Work scheduler to maximize the utilization of system hardware resources
