Updated on 2024-04-15 GMT+08:00

Memory-optimized ECSs

Overview

Memory-optimized ECSs have a large memory size and provide high memory performance. They are designed for memory-intensive applications that process a large amount of data, such as precision marketing, e-commerce, and IoV big data analysis.

M7n ECSs use third-generation Intel® Xeon® Scalable processors to provide enhanced computing, security, and stability. They can have a maximum number of 96 vCPUs and a memory speed of 3200 MHz, and provide a secure and trusted cloud environment for memory-intensive computing applications.

M6 and M6nl ECSs use second-generation Intel® Xeon® Scalable processors with technologies optimized to offer powerful and stable computing performance. Using 25GE high-speed intelligent NICs, M6 ECSs provide a maximum memory size of 512 GiB based on DDR4 for large-memory applications with high requirements on network bandwidth and packets per second (PPS).

Table 1 Memory-optimized ECS features

Type

Compute

Disk Type

Network

M7n

  • vCPU to memory ratio: 1:8
  • Number of vCPUs: 2 to 96
  • 3rd Generation Intel® Xeon® Scalable Processor
  • Basic/Turbo frequency: 2.6 GHz/3.4 GHz
  • Ultra-high I/O
  • General Purpose SSD
  • High I/O
  • Extreme SSD
  • Support for IPv6
  • Ultra-high PPS throughput
  • An ECS with higher specifications has better network performance.
  • Maximum PPS: 8,500,000
  • Maximum intranet bandwidth: 40 Gbit/s

M6

  • vCPU to memory ratio: 1:8
  • Number of vCPUs: 2 to 64
  • 2nd Generation Intel® Xeon® Scalable Processor
  • Basic/Turbo frequency: 3.0 GHz/3.4 GHz
  • Ultra-high PPS throughput
  • An ECS with higher specifications has better network performance.
  • Maximum PPS: 10,000,000
  • Maximum intranet bandwidth: 40 Gbit/s

M6nl

  • vCPU to memory ratio: 1:8
  • Number of vCPUs: 2 to 64
  • 2nd Generation Intel® Xeon® Scalable Processor
  • Basic/Turbo frequency: 3.0 GHz/3.5 GHz
  • Ultra-high PPS throughput
  • An ECS with higher specifications has better network performance.
  • Maximum PPS: 8,000,000
  • Maximum intranet bandwidth: 40 Gbit/s

Specifications

Table 2 M6 ECS specifications

Flavor

vCPUs

Memory

(GiB)

Max./Assured Bandwidth

(Gbit/s)

Max. PPS

(10,000)

Max. NIC Queues

Virtualization

m6.large.8

2

16

4/1.2

40

2

KVM

m6.xlarge.8

4

32

8/2.4

80

2

KVM

m6.2xlarge.8

8

64

15/4.5

150

4

KVM

m6.3xlarge.8

12

96

17/7

200

4

KVM

m6.4xlarge.8

16

128

20/9

280

8

KVM

m6.6xlarge.8

24

192

25/14

400

8

KVM

m6.8xlarge.8

32

256

30/18

550

16

KVM

m6.16xlarge.8

64

512

40/36

1000

32

KVM

Table 3 M6nl ECS specifications

Flavor

vCPUs

Memory

(GiB)

Max./Assured Bandwidth

(Gbit/s)

Max. PPS

(10,000)

Max. NIC Queues

Virtualization

m6nl.large.8

2

16

4/1

32

2

KVM

m6nl.xlarge.8

4

32

8/2

64

2

KVM

m6nl.2xlarge.8

8

64

15/4

120

4

KVM

m6nl.3xlarge.8

12

96

17/6

160

4

KVM

m6nl.4xlarge.8

16

128

20/8

224

8

KVM

m6nl.6xlarge.8

24

192

25/12

320

8

KVM

m6nl.8xlarge.8

32

256

30/16

440

16

KVM

m6nl.16xlarge.8

64

512

40/32

800

32

KVM

Table 4 M7n ECS specifications

Flavor

vCPUs

Memory

(GiB)

Max./Assured Bandwidth

(Gbit/s)

Max. PPS

(10,000)

Max. NIC Queues

Max. NICs

Max. Supplementary NICs

Virtualization

m7n.large.8

2

16

4/0.8

40

2

2

16

KVM

m7n.xlarge.8

4

32

8/1.6

80

2

3

32

KVM

m7n.2xlarge.8

8

64

15/3

150

4

4

64

KVM

m7n.3xlarge.8

12

96

17/5

200

4

6

96

KVM

m7n.4xlarge.8

16

128

20/6

280

8

8

128

KVM

m7n.6xlarge.8

24

192

25/9

400

8

8

192

KVM

m7n.8xlarge.8

32

256

30/12

550

16

8

256

KVM

m7n.12xlarge.8

48

384

35/18

750

16

8

256

KVM

m7n.16xlarge.8

64

512

36/24

800

28

8

256

KVM

m7n.24xlarge.8

96

768

40/36

850

32

8

256

KVM

Scenarios

  • Applications

    Memory-optimized ECSs are suitable for applications that process large volumes of data and require a large amount of memory, rapid data switching and processing, and low-latency storage resources.

  • Application scenarios

    Big data analysis for precision marketing, e-commerce, and IoV, relational databases, NoSQL databases, and memory data analysis