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Introduction: Super Computing Cluster (SCC) is used in high-performance computing, artificial intelligence and deep learning, science and engineering computing, data analysis, media processing, high-speed interconnectivity of RDMA (Remote Direct Memory Access), heterogeneous computing resources such as CPU and GPU, and computing cluster services. Applied to: high-performance computing enterprises (automobile manufacturers, manufacturers, and engineering simulation enterprises), artificial intelligence enterprises, public institutions (weather forecast, astronomical research, geographical and geological research), and research and development institutions (molecular dynamics, pharmaceutical research, nanometer material research, and quantum research). New features: 1. SCC is based on Elastic Bare Metal (EBM) Instances. With the help of the high-speed interconnectivity of RDMA technology, SCC greatly enhances network performance and expandability of large-scale clusters. 2. SCCs provide high-speed interconnectivity of RDMA between not only CPUs but also GPUs. This feature greatly reduces the data accessing latency between GPUs in large-scale AI training and large-scale high-performance computing scenarios. 3. SCCs can create high-performance computing clusters using E-HPC. 4. SCCs provide NAS/CPFS as high performance shared storage. 5. SCCs support elastic AI solutions. Billing method: Pay-As-You-Go