HPC Systems Inc. launched Science Cloud with Arm HPC. With this ARM-based Science Cloud, customers including the scientists and engineers in many fields can have an alternative platform choice for their researches and applications that can be more efficient, better performance per watt and per dollar, and reduced TCO. In big data analytics, machine Learning (ML), deep learning, and artificial intelligence (AI), as well as scientific computing, high performance computers with high-density processors are becoming more common, exceeding the power consumption of 2kW in one compute node. Additionally, the demand for cloud computing services in scientific computing across physics, chemistry, drug discovery, and engineering has increased in recent years. In the United States, Europe, China, and Japan, the Exascale Computing Project is underway targeting 2021–2024 for its next generation supercomputer. In Japan, the Post-K next-generation supercomputer, which aims for the world's high level of versatility and is based on the Arm®v8-A architecture, the application execution performance can outperform the K Computer up to 100 times, and a power consumption of 30-40 MW compared with 12.7 MW for the K computer. HPC Systems, in cooperation with Arm, Marvell, and HiSilicon, carefully verified hardware operations, including the InfiniBand interconnect with the Armv8-A architecture, to ensure compatibility for a broad range of HPC applications. With verification and validation efforts including performance bench-marking on various discipline applications, such as simulation applications GAMESS, Gromacs, LAMMPS, OpenFOAM and more, the users can easily execute codes and data onto the Science Cloud platforms without any difficulty.