How to choose rack mounted servers?

Based on the relevant background of the operating principle of rack mounted servers discussed earlier, you can choose from the following core dimensions to avoid common purchasing misconceptions:
1、 First, clarify the basic physical parameters
Priority should be given to confirming the available space of the server room cabinets. The 1U model is suitable for high-density deployment, the 2U model has the strongest universality, and 4U and above support multiple CPU and GPU expansions. At the same time, it is necessary to check whether the cabinet depth and power supply match to avoid hardware installation and operation failure after arrival.
2、 Match business load types
Computational intensive scenarios (such as AI training and scientific computing) focus on multi-core CPUs and large memory configurations; For storage intensive scenarios, priority should be given to models that support multiple disk slots and hot swappable hard drives; Choose an entry-level 1U model for lightweight web services, without blindly stacking configurations.
3、 Refer to the mainstream brand lineup
At present, the top brands in the market reputation include Lenovo (with strong adaptability to government, enterprise, and innovation), Inspur (leading in enterprise level computing power scene technology), and Dell (with complete adaptability to multinational enterprise ecosystems). You can choose the corresponding brand according to your own industry.
4、 Pay attention to implicit details and after-sales service
Pay attention to parameters such as heat dissipation design, expansion slots, and independent management network ports that are easily overlooked. Prioritize selecting suppliers who can provide localized spare parts reserves and 7 × 24-hour technical support to ensure long-term stable operation and maintenance in the future.
If you have a need to rent computing power for scientific research, you can also consider a professional research service platform that can provide CPU, GPU rental, and server customization services, suitable for relevant usage scenarios in universities and research institutes: