Disk-intensive ECSs

Overview

Disk-intensive ECSs are delivered with local disks for high storage bandwidth and IOPS. In addition, local disks are more cost-effective in massive data storage scenarios. Disk-intensive ECSs have the following features:

• They use local disks to provide high sequential read/write performance and low latency, improving file read/write performance.
• They provide powerful and stable computing capabilities, ensuring efficient data processing.
• They provide high intranet performance, including high intranet bandwidth and packets per second (PPS), meeting requirements for data exchange between ECSs during peak hours.

D7 ECSs use third-generation Intel® Xeon® Scalable processors to provide enhanced computing, security, and stability. The RAM frequency is up to 3,200 MHz. Equipped with 25GE high-speed intelligent NICs and local SATA disks, D7 ECSs offer ultra-high network bandwidth, PPS, and local storage. The capacity of a single SATA disk is up to 3,600 GiB, and an ECS can be attached with up to 32 such disks.

D6 ECSs, with a vCPU/memory ratio of 1:4, use 2nd Generation Intel® Xeon® Scalable processors to offer powerful and stable computing performance. Equipped with 25GE high-speed intelligent NICs and local SATA disks, D6 ECSs offer ultra-high network bandwidth, PPS, and local storage. The capacity of a single SATA disk is up to 3,600 GiB, and an ECS can be attached with up to 36 such disks.

D3 ECSs use Intel® Xeon® Scalable processors to offer powerful and stable computing performance. Equipped with proprietary 25GE high-speed intelligent NICs and local SAS disks, D3 ECSs offer ultra-high network bandwidth, PPS, and local storage.

Scenario

• Applications: Massively parallel processing (MPP) database, MapReduce and Hadoop distributed computing, and big data computing
• Features: Suitable for applications that require large volumes of data to process, high I/O performance, and rapid data switching and processing.
• Application scenarios: Distributed file systems, network file systems, and logs and data processing applications

Specifications