In fact, nowadays many people have heard of or come into contact with servers. As is known to all, servers are important devices in the network, and they need to be accessed by as few as dozens or as many as tens of thousands of people. Therefore, servers have strict requirements such as the rapid throughput of large amounts of data, extremely strong stability, and long-term operation. But today we are going to learn about GPU servers. Obviously, literally speaking, a GPU server is a type of server. Is there any difference between a GPU server and other servers? Are GPU servers better than other servers? Perhaps everyone may have such confusion. Now, I will take you to understand GPU servers.

A GPU server, simply put, is a fast, stable and elastic computing service based on GPU, applied in various scenarios such as video codec, deep learning and scientific computing. We offer a management approach consistent with that of standard cloud servers. Outstanding graphics processing capabilities and high-performance computing power provide ultimate computing performance, effectively relieve computing pressure, and enhance the computing processing efficiency and competitiveness of products.

In the following scenarios, we can use a CPU server. If the office scenario requires it, it is recommended that you configure a GPU server. If the scenario is irrelevant, using a regular server is also fine. Shanghai Guojing Network will also provide you with the corresponding server type and configuration based on your usage scenarios!

1. Simple deep learning models: GPU servers are used to provide training or prediction for machine learning. GPU cloud servers have powerful computing capabilities and can serve as a platform for deep learning training, directly connecting and communicating with the outside world. A GPU server can be used as a simple deep learning training system to assist in completing basic deep learning models.

Second, for complex deep learning models, GPU servers have powerful computing capabilities and can be used as a platform for deep learning training. Combine the computing services and object storage provided by the cloud server CVM

The cloud storage service provided by COS, the online database service provided by the cloud database MySQL, the cloud monitoring service and the security monitoring service provided by Dayu, as well as the image and video encoding and decoding, can be rendered by GPU servers. By using GPU accelerator instructions, thousands of cores can be utilized to accelerate the encoding and rendering speed of graphics and images.

These are some scenarios where GPU servers can be used. Therefore, if your usage requires a more advanced level, it is recommended to use a GPU server.

What are the differences between a server CPU and a regular CPU?

Now we have found some professional materials and literature. Come and expand your knowledge! Overall, there are mainly six differences between the CPU of a server and that of a regular computer. Let's take a look together.

First, the instruction sets are different

The ordinary CPU equipped in home or work computers is usually a CISC complex instruction set, aiming for a large and comprehensive instruction set and integrating various commonly used functions as much as possible. However, its invocation speed and hit rate are relatively lower compared to server cpus.

The instructions of the server CPU are generally RISC (Reduced Instruction Set). The advantage of this design is that it is more targeted, can be specifically optimized according to different needs, and has higher energy efficiency.

Second, the caches are different

Cache also determines the performance of the CPU. As server cpus have high requirements for computing performance, they often apply the most advanced processes and technologies and are equipped with first, second and third-level caches, thus having stronger running capabilities. The server CPU has been using level 3 cache for a long time. Ordinary cpus have only adopted cache technology in recent years.

Three, different interfaces

The interfaces of server cpus and ordinary cpus are often different. Currently, most of the server CPU interfaces are Socket 771, Socket 775, LGA 2011, and LGA 1150. Although they are quite similar to the interfaces of ordinary cpus, in fact, the motherboards they are paired with are not the same. The motherboard equipped with a server cpu usually does not have a graphics card slot because the integrated graphics card built into the CPU can meet the requirements, and its CPU bus bandwidth is higher than that of a home CPU.

Fourth, the stability requirements are different

Server cpus exist for long-term stable operation and are basically designed to work continuously throughout the year. Server cpus are worlds apart from home cpus in terms of stability and reliability. Generally, servers are turned on and run 365 days a year, with only occasional maintenance downtime, which places extremely high demands on stability. Ordinary cpus are designed to work continuously for 72 hours. When home computers are not in use, we still tend to keep them turned off, usually every day.

Five, multi-channel interconnection support is different

Multi-channel interconnection is a technology on servers. For instance, a server motherboard can have multiple CPU slots simultaneously and install multiple cpus at the same time. This is the CPU multi-channel interconnection technology. Currently, this technology is only supported by server cpus. For ordinary home computers, only one CPU can be installed on one motherboard and multi-channel interconnection is not supported.

Six. Different prices

As server cpus are designed for high stability, they are generally made of high-quality materials and support multi-channel interconnection and long-term operation. Compared with ordinary cpus of the same performance, their prices are naturally higher. In addition, high-end server cpus employ a large number of the latest advanced technologies and are more expensive. Therefore, the price of general server cpus is over a thousand yuan, while that of high-end server cpus is over ten thousand yuan, or even several hundred thousand yuan. The price of a regular CPU usually ranges from several hundred to several thousand yuan, while the prices of mainstream products are generally around a thousand yuan.

The above is the difference between a server cpu and a regular cpu. Many friends may ask, can a server CPU be used as the CPU of a home computer? The answer is no. Every foot has its shortness and every inch its length. The positioning and design of the two are different.