美光和AMD提供卓越的性能

美光和AMD提供卓越的性能 for cloud-native workloads with 96GB DDR5 and 4th Gen AMD EPYC™ processors

微米 recently announced the availability of high-performance RDIMM solutions to help address computationally intensive artificial intelligence (AI), 数据分析和以内存为中心的工作负载. 与AMD合作, our joint goal was to elevate high-performance computing (HPC) workloads by harnessing the capabilities of 微米 DDR5 and the advanced features of 4th Gen AMD EPYC™ processors. 从那时起, 两家公司都取得了显著的进步, 包括成功验证24GB这样的新容量, 2023年1月推出48GB和96GB DDR5 dimm. This blog post focuses on showcasing the impressive performance of the new 96GB DDR5 in conjunction with 4th Gen AMD EPYC processors.

利用优势获得改进

通过与AMD合作, 微米 capitalized on these latest AMD EPYC processors' cloud-native computing strengths, 提供卓越的电源效率. 这些改进针对可持续性目标和, 伴随着高性能每瓦, aligns perfectly with the key metrics widely used in the data center industry.

以下是这种组合的主要优势:

• Leading-edge performance: AMD EPYC 9754 processors are designed to meet the demands of cloud-native workloads. With up to 128 physical cores per processor and generous L3 cache sizes (up to 384MB per processor), 它们提供了高水平的并行处理能力. This power enables efficient execution of concurrent tasks and supports the scalability required by cloud-native applications. 
• Impressive DDR5 speeds: 微米 DDR5 memory modules are designed for remarkable speeds of up to 51.2gb /s，保证系统内数据的快速存取和传输. This high bandwidth allows for seamless handling of large datasets and supports the rapid data processing required by cloud-native workloads.
• Cutting-edge processing: 微米's advanced 1β (1-beta) node processing technology brings several benefits to the table. 它提供了15%的电力效率提高, 支持更多的计算能力，同时最大限度地降低能耗. 另外, there is a 35% increase in bit density with a 16Gb per die capacity than in the previous-generation 1α (1-alpha), allowing for higher memory capacities and improved overall system performance.
• Enhanced data integrity and reliability: The integrated error correction code (ECC) parity in 微米 DDR5 memory ensures data integrity by detecting and correcting memory errors. This feature is crucial for cloud-native workloads that handle large amounts of critical data, 提供额外的保护层，防止潜在的数据损坏. The presence of ECC parity enhances the overall reliability and stability of the system.
• Energy efficiency and performance: The latest 128-core processor from AMD focuses on energy efficiency, offering exceptional power efficiencies while supporting cloud-native workloads. 处理器拥有可靠的RAS(可靠性), 可用性, and Serviceability) capabilities and broad x86 hardware and software compatibility. 我们的测试显示，性能/瓦特提高了2.是上一代的68倍.

利用AMD EPYC 9754处理器的强大功能, 高速高效的美光DDR5内存, 以及稳健的ECC奇偶校验功能, 我们看到了云原生工作负载的最佳解决方案. 这种组合可以实现高性能计算, 高效的数据处理, 宽存储容量, 运行可靠, all of which are essential for cloud-native applications in modern data center environments. 

配置和基准测试内存中的云数据存储

To simulate a workload that closely resembles 微米’s own IT cloud-native environment, 我们选择了Redis YCSB Proofpoint Workload D. 此工作负载包含2.5亿行, 每个记录大小为2KB, 导致数据库的总大小为925GB. 

Testing setup involved running 64 instances with one Redis server and four clients, 专注于性能和可伸缩性. 性能是用每秒操作数(ops/s)衡量的。, and we scaled the workloads while ensuring that the latency remained the same or lower than in the previous generation.