If Ryzen is relatively easy to open up in the consumer market, AMD wants to rely on EPYC to stand firm in Intel's absolute monopoly of servers, data centers, and high-performance situations. Although the whole industry welcomes AMD back, it is not easy to get rid of Intel. In the supercomputer field, AMD EPYC generation has not broken the ice.

However, with AMD's announcement of the second-generation 7nm process, the Zero EP architecture of the Zen 2 architecture, the situation has finally opened.

In fact, before the AMD official announcement, the US Department of Energy (DOE) could not wait to disclose that the next generation of supercomputer "Perlmutter" will adopt a new generation of AMD EPYC, and then the German high-performance computing center (HLRS) in Stuttgart announced a new generation of super-calculation "Hawk" It will be equipped with up to 10,000 AMD Rome EPYCs for a total of 640,000 cores.
 


Now, the third Rome EPYC is over.

The Finnish IT Science Center (CSC) has signed a cooperation agreement with Atos to purchase the latter's BullSequana XH2000 supercomputer platform and deploy its own supercomputer system in two phases over the next year and a half.

The first phase is scheduled to be completed in the summer of 2019, equipped with Intel's next-generation Cascade Lake Xeon processor, with a maximum theoretical performance of 2 PFlops (2 teraflops per second), 96GB-1.5TB of memory per node, and 4.9PB of storage.

It also has a branch dedicated to AI research, including 320 NVIDIA Tesla V100 GPUs with a peak performance of 2.5 PFlops.
 


The second phase will be completed in the spring of 2020, using AMD Rome EPYC processors, totaling approximately 200,000 cores, 256GB of memory per node, and a total storage of 8PB.

The specific use of the Rome EPYC model will of course not be disclosed. There is no mention of how many cores each is. If it is the top 64 core, it is about 3125.

For AMD, this is undoubtedly extremely exciting news. Rome EPYC has not been officially released, it has been favored by many super-computing systems, which proves that not only its performance, power consumption and other indicators are very attractive, but the software and application ecology are more mature. After all, super-calculation needs to be used efficiently, soft power. More critical than hard power.

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