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Data value unlocked: 的 AMD EPYC 7002 and 微米’s fast 3200 MT/s DDR4

埃里克·卡沃德| 2019年8月

我们生活在一个数据的世界里. More data will be created in 2019 than the total sum of all data previously created in human history. 的 exciting thing is that this will also be true for 2020, and the year after that. 然而, with this exponential growth in data comes challenges because we don’t want raw data, 我们需要的是信息. 信息是有组织的、有价值的数据. Businesses must find a way to transform data into information efficiently while wrestling with huge data sets that are growing exponentially.

AMD has released a next-generation processor product that is meant to drive vastly improved performance and scalability. 的 AMD EPYC™ 7002 Generation Processors provide up to 64 cores. +, 微米® is releasing our first 64GB 3200 MT/s RDIMMs (MTA36ASF8G72PZ-3G2B2) for the data center in anticipation of the improved workload and application potential in the new EPYC™ 7002 Generation. 新的注册内存不仅更快, but they also double the density of our previous generation of RDIMMs due to being built with 16Gb die. What can we expect as this super-accelerated infrastructure rolls out into the marketplace? Let’s look at two trends driving transformation of data into information and their effect on 内存 and storage technology innovation.

3200年RDIMM

深度神经网络(人工智能):由于计算硬件的进步, 新的算法优化, 以及所分析数据的庞大规模, 深度神经网络正在进入数据中心. While the data is being processed it must reside in fast 内存 for efficient compute. 的 美光64GB 3200 MT/s RDIMM 这就是快速记忆吗. It is also twice the density for the same configuration, which is very valuable in training neural networks due to their iterative nature. Unstructured data to be analyzed is much more efficiently accessed if it is stored as data lakes on solid state drives like the 微米 5210 QLC 固态硬盘, which delivers the speed needed at the right price for 50TB read-intensive workloads. While rotational media only has a few hundred IOPs, our QLC 5210 固态硬盘 has tens of thousands of IOPs.

Hybrid 云: To maximize the economies of scale found in 云计算在美国,许多企业部署混合云模式. Hybrid is defined as on-premises and off-premises and are used together to optimize a business’s data center while adhering to regulatory restrictions that preclude using the public cloud for 100% of their data. 与任何云部署一样, elastic compute is the vehicle that enables efficient use of server hardware, while elastic compute is reliant on fast 内存 and fast storage. 的 微米 9300 High-Performance 固态硬盘 with NVMe delivers our fastest data center and cloud storage – sequential read and write at 3.5 GB /秒.

的 微米 9300 固态硬盘 is the flash storage AMD chose for the EPYC 7002 media testing kits and client sample kits, so we anticipate many people investigating the drive’s efficient and fast storage utilization.

一个拿着笔记本电脑的人看着一排数据服务器.

的 big picture: Processing and managing ever-increasing data sets is driving the explosion of processor core counts more than ever before. You see the industry’s answer with AMD’s EPYC 7002 Generation, which has up to twice the number of cores (64) and threads (128) of AMD’s previous EPYC™ 7001 Series Processors. Doubling core counts enables accelerated consolidation thorough virtualization and containerization to drive the data center to new heights of efficiency. 你在研究下一代处理器吗? To fully harness the compute power of the EPYC™ 7002 Generation you’ll want to support it with fast 内存 like our newly released 64GB 3200 MT/s MTA36ASF8G72PZ-3G2B2 RDIMMs and fast storage like the 微米 9300 NVMe 固态硬盘.

微米’s 3200 MT/s MTA36ASF8G72PZ-3G2B2 RDIMMs and 微米 9300 固态硬盘s with NVMe, 以及AMD的EPYC™7002代, 是否启用了明天的数据中心, 今天!

More information: We’ll have more to say about the exciting AMD EPYC 7002 generation. Stay up to date with 微米 by following us on the social media sites linked below.

Sr. 沙巴体育结算平台营销经理

Eric Caward

Eric Caward is Business Development Manager for 微米’s Compute and Networking Business Unit.  Eric leverages 19 years of 内存 system expertise to lead strategy development in the Data Center segment with a focus on enabling solutions for hyperscale customers. 在转到现在的职位之前, Eric spent 15 years in the Systems Compatibility Group where he was a Systems Engineer working on 内存 qualifications, 失效分析, 以及系统性能分析.

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