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specifications Flavor Name/ID CPU Memory Local Disk Extended Configuration physical.h6.xlarge 2 x 22 Core Intel Cascade Lake 6266 V6 (3.00 GHz) DDR4 RAM (192 GB) None 100G Mellanox IB (RDMA) + SDI 3.0 (40 GE) GPU-accelerated This BMS type uses NVIDIA T4 GPU and meets the requirements of AI
NPU: request for restart AI process RestartAIProcess Warning The AI process needs to be restarted. Collect the required information and restart the AI process. The current AI task will be interrupted.
Quick Integration into Cloud Solutions Based on the unified VPC model, BMS can be quickly combined with other cloud services and integrated into cloud solutions (such as database, big data, container, HPC, and AI solutions) for faster cloud transformation.
Feature Description Documentation 1 Kunpeng 920+Ascend 910 BMS training cluster launched An AI training cluster with Kunpeng 920+Ascend 910 BMSs features ultra-high compute density, energy efficiency, and bandwidth. Each BMS has 192 CPU cores and eight Ascend 910 AI chips.
For details about other npu-smi commands, see Atlas 800 AI Training Server npu-smi Command Reference (Model 9000). 3. If no error information is displayed, the uninstallation is successful. You can determine whether to restart the OS based on the prompt information.
For details about other npu-smi commands, see Atlas 800 AI Training Server npu-smi Command Reference (Model 9000). Important Notes Logs are recorded based on the system time. NPU synchronizes the system time. To change the system time, run the date command.
HPC/AI In high-performance computing (HPC) such as supercomputing, DNA sequencing, and AI, a large amount of data needs to be processed.
