美光芯片技术驱动数据中心革新:7600 NVMe SSD以卓越性能与低延迟赋能AI和云应用

Core Insights - Micron's 7600 SSD is designed for data centers, specifically to meet the high-performance storage demands of AI and cloud environments, representing a significant upgrade from previous models [1] - The SSD features advanced PCIe 5.0 interface and Micron G9 TLC NAND technology, resulting in substantial performance improvements [1] Performance Metrics - The Micron 7600 SSD achieves a sequential read speed of up to approximately 12 GB/s and sequential write speeds ranging from 6.5 GB/s to 7 GB/s, outperforming competitors by about 27% in sequential write performance [3] - It also boasts a random read performance of up to 2.1 million IOPS (4K), ensuring rapid responses for data centers handling numerous random read requests [3] Latency and Stability - The design of the Micron 7600 emphasizes low and stable latency, achieving read/write latencies below 1 millisecond under demanding conditions, significantly lower than competing PCIe 5.0 SSDs by 55% to 67% [4] - This performance is particularly beneficial for online transaction processing (OLTP) databases and AI inference queries, enhancing application response times and supporting higher service level agreements (SLAs) [4] Enterprise Features - The Micron 7600 SSD supports the latest OCP 2.6 and NVMe 2.0b standards, ensuring compatibility with current enterprise ecosystems [5] - It also adheres to major security standards such as SPDM 1.2 and TCG Opal 2.02, providing robust data protection capabilities for enterprise applications [5] Energy Efficiency - While the Micron 7600 has a power consumption of approximately 20–25W under high load, it achieves superior performance per watt, with about 400,000 4K random write IOPS at 25W, potentially doubling the performance of some competitors [6] - The SSD's high throughput allows it to replace multiple older drives, significantly reducing energy consumption and lowering total operational costs for data centers [6] Application Versatility - The Micron 7600 is suitable for a wide range of applications, including virtualization workloads, cloud instances, web services, AI inference, and edge computing, providing a balance of high speed and low latency [7] - This versatility allows customers to optimize their data center and cloud application efficiency without compromising on performance [7]