AMD pushes the first X86 architecture 16 core processor to force cloud computing market

AMD yesterday in Beijing released a new generation of Hao Long (Opteron) processor-Hao long 6200/4200 series of processors. Among them, the most eye-catching is the world's first 16 nuclear x86 processor-Hao Dragon 6200.

The previously code-named "Interlago" 16 processor performance is very strong, memory bandwidth up 73%, the price reduced by 34%, power consumption reduced by 20%, performance beyond the competitors up to 84%. (the competitor here refers to the http://www.aliyun.com/zixun/aggregation/18652.html "> Intel Corporation's Xeon processor, the contrast test project is floating-point counting per second), based on the data provided by AMD, The newly released Hao Long 6200/4200 series processor single core power consumption can be reduced to 4.3 watts, according to this calculation, data center construction process can save 2/3 room occupancy space, the cost of platform construction is only the original 1/3~2/3.

It is easy to see from the location of the conference that AMD is working to develop the cloud computing, High-performance Computing (HPC) market in China. AMD at the conference said that Acer, Cray, Dell, Hewlett-Packard and other companies to apply the Hao long 6200/4200 series of processors and solutions will also be available in the near future. This also shows the AMD to launch the 16 core processor's important intention, to the major server manufacturers to promote AMD launched the early "bulldozer" (bulldozer) architecture, thus driving the entire product line development.

From the tone of the entire conference, AMD hopes to use the chip and other hardware products to further expand the cloud computing market. There is no doubt that the advent of new processors provides a strong "core" for the deployment of cloud computing solutions. But the light has a strong "core" is not enough, how to let "cloud" drift into more companies, including AMD, many hardware manufacturers need to think about a problem.

(Responsible editor: Lu Guang)