Machine for machine learning and quantum chemistry calculation simulations

This is the principle of a machine designed for machine learning and quantum chemistry calculation simulations.

We have prepared a configuration that allows the use of four RTX A6000 graphics cards in a 100V environment. The power supply unit is rated at 1600W, but in a 100V environment, its effective power delivery capability is approximately 1300W. The two power supplies included in this configuration are not intended for redundancy (meaning if one fails, the system will stop), so if either power supply fails, the system will cease operation. Please be aware that this configuration does not prioritize server-level stability and is designed for use in a 100V environment, assuming that system downtime is acceptable for the intended applications. 【Points to Note for This Configuration】 - This is a dual power supply configuration to ensure adequate power delivery. If one power supply fails, the system will not function. Please avoid using it for critical applications. - To accommodate 100V operation, the power consumption exceeds 15A. The two power supplies must be powered from separate outlets. (Using a multi-outlet from a single outlet or operating under a 15A electrical contract is not permitted.) - This configuration does not support additional HDD installations. (The maximum number of internal drives that can be installed is two M.2 type storage devices.)

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