Nx computing power
Force analysis in UG advanced simulation needs to learn the finite element analysis of advanced simulation mole under UG, fill in according to your part data, and generate the solution
Quality Analysis
centroid
, the pressure center of irregular blanking line should not be equal to centroid.
The configuration specification of cloud server affects the price, and also directly determines its computing power and characteristics, which should be considered when purchasing
select the cloud server configuration, and see the three dimensions
the configuration specifications of the cloud server mainly depend on the three most important dimensions of type, generation, and instance size
dimension 1: type
the "type" or "series" of cloud servers refer to the category of cloud servers with the same design purpose or performance characteristics
generally speaking, cloud factories will provide common types of cloud servers, such as general balanced, computing intensive, memory optimized, and graphics computing. These types correspond to a reasonable allocation or targeted enhancement of hardware resources, which is convenient for you to choose the most appropriate model for different scenarios
the proportion of the number of vcpu and the size of memory (calculated by GB) is one of the important basis for determining and distinguishing the types of cloud servers
the proportion of general balanced type is usually 1:4, such as 2-core 8g. This is a classic collocation, which can be used for various common loads such as site building and application services, such as back-end server for official website and enterprise applications
if the ratio of vcpu to memory is 1:2, or even 1:1, it is the category of computing intensive, which can be used for scientific computing, video coding, code compilation and other computing intensive loads
when the ratio is 1:8 or above, it is classified as memory optimization type, such as the collocation of 8-core 64g, which is more common in database, cache service, big data analysis and other application scenarios
Graphic computing is a virtual machine with GPU capability, which is generally used for training and reasoning of machine learning and deep learning models. With the popularity of AI, more and more such machines appear in various R & D and proction environments
on mainstream cloud computing platforms, acronyms are often used to express the series of cloud servers. For example, the general model of AWS is M series, the memory optimized model of Alibaba cloud is R series, and the computing optimized model of azure is F series< br />
https://www.wy.cn/computing/wcloud/all?utm_ source=wemedia