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Elastic Network Interface

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ドキュメントElastic Network InterfaceProduct IntroductionUsage Limits

Usage Limits

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最終更新日: 2024-10-23 10:24:14
The maximum number of ENIs that can be bound to a CVM and the maximum number of private IPs allowed for a single ENI vary according to the CPU specification. See the table below for details. For information on the quota limits for other VPC products, see Quota Limit.
Note:
The number of private IPs bound to a single ENI indicates the maximum number allowed. The EIP quota is not provided based on this upper limit but based on EIP quota.
The number of ENIs indicates the number of ENIs that can be bound to a CVM instance, while each VPC supports up to 1,000 ENIs.
Number of ENIs bound to a CVM instance
Number of private IPs bound to a single ENI on CVM instances
Model
Instance Type
Number of ENIs
CPU: 1 core
CPU: 2 cores
CPU: 4 cores
CPU: 6 cores
CPU: 8 cores
CPU: 10 cores
CPU: 12 cores
CPU: 14 cores
CPU: 16 cores
CPU: >16 cores
Standard
Standard S5
2
4
4
-
6
-
-
-
8
8
Standard Storage Optimized S5se
-
-
4
-
6
-
-
-
8
8
Standard SA3
2
4
4
-
6
-
-
-
8
8
Standard SA2
2
4
4
-
6
-
-
-
8
8
Standard S4
2
4
4
-
6
-
-
-
8
8
Standard Network-optimized SN3ne
2
4
4
-
6
-
8
-
8
8
Standard S3
2
4
4
-
6
-
8
-
8
8
Standard SA1
2
2
4
-
6
-
-
-
8
8
Standard S2
2
4
4
-
6
-
8
-
8
8
Standard S1
2
4
4
-
6
-
8
-
8
8
High IO
High IO IT5
-
-
-
-
-
-
-
-
8
8
High IO IT3
-
-
-
-
-
-
-
-
8
8
Memory Optimized
Memory Optimized M5
2
4
4
-
6
-
8
-
8
8
Memory Optimized M4
2
4
4
-
6
-
8
-
8
8
Memory Optimized M3
2
4
4
-
6
-
8
-
8
8
Memory Optimized M2
2
4
4
-
6
-
8
-
8
8
Memory Optimized M1
2
4
4
-
6
-
8
-
8
8
Compute
Compute Optimized C4
-
-
4
-
6
-
-
-
8
8
Compute Network-optimized CN3
-
-
4
-
6
-
-
-
8
8
Compute C3
-
-
4
-
6
-
-
-
8
8
Compute C2
-
-
4
-
6
-
-
-
8
8
GPU-based
GPU Compute GN6
-
-
-
-
-
-
-
-
-
8
GPU Compute GN6S
-
-
4
-
6
-
-
-
-
-
GPU Compute GN7
-
-
4
-
6
-
-
-
-
8
GPU Compute GN8
-
-
-
4
-
-
-
8
-
8
GPU Compute GN10X
-
-
-
-
6
-
-
-
-
8
GPU Compute GN10Xp
-
-
-
-
-
6
-
-
-
8
FPGA-based
FPGA Accelerated FX4
-
-
-
-
-
6
-
-
-
8
Big Data
Big Data D3
-
-
-
-
6
-
-
-
8
8
Big Data D2
-
-
-
-
6
-
-
-
8
8
Big Data D1
-
-
-
-
6
-
-
-
-
8


Model
Instance Type
Number of private IPs bound to a single ENI
CPU: 1 core
CPU: 2 cores
CPU: 4 cores
CPU: 6 cores
CPU: 8 cores
CPU: 10 cores
CPU: 12 cores
CPU: 14 cores
CPU: 16 cores
CPU: >16 cores
Standard
Standard S5
6
10
10
-
20
-
-
-
30
30
Standard Storage Optimized S5se
-
-
20
-
20
-
-
-
30
30
Standard SA3
6
10
10
-
20
-
-
-
30
30
Standard SA2
6
10
10
-
20
-
-
-
30
30
Standard S4
6
10
10
-
20
-
-
-
30
30
Standard Network-optimized SN3ne
6
10
10
-
20
-
30
-
30
30
Standard S3
6
10
10
-
20
-
30
-
30
30
Standard SA1
1 GB memory: 2 >1 GB memory: 6
10
8 GB memory: 10 16 GB memory: 20
-
20
-
-
-
30
30
Standard S2
6
10
10
-
20
-
30
-
30
30
Standard S1
6
10
10
-
20
-
30
-
30
30

High IO
High IO IT5
-
-
-
-
-
-
-
-
30
30
High IO IT3
-
-
-
-
-
-
-
-
30
30
MEM Optimized
Memory Optimized M5
6
10
10
-
20
-
30
-
30
30
Memory Optimized M4
6
10
10
-
20
-
30
-
30
30
Memory Optimized M3
6
10
10
-
20
-
30
-
30
30
Memory Optimized M2
6
10
10
-
20
-
30
-
30
30
Memory Optimized M1
6
10
10
-
20
-
30
-
30
30
Compute
Compute Optimized C4
-
-
10
-
20
-
-
-
30
30
Compute Network-optimized CN3
-
-
10
-
20
-
-
-
30
30
Compute C3
-
-
10
-
20
-
-
-
30
30
Compute C2
-
-
10
-
20
-
-
-
30
30
GPU-based
GPU Compute GN6
-
-
-
-
-
-
-
-
-
30
GPU Compute GN6S
-
-
10
-
20
-
-
-
-
-
GPU Compute GN7
-
-
10
-
20
-
-
-
-
30
GPU Compute GN8
-
-
-
10
-
-
-
30
-
30
GPU Compute GN10X
-
-
-
-
20
-
-
-
-
30
GPU Compute GN10Xp
-
-
-
-
-
20
-
-
-
30
FPGA-based
FPGA Accelerated FX4
-
-
-
-
-
20
-
-
-
30
Big Data
Big Data D3
-
-
-
-
20
-
-
-
30
30
Big Data D2
-
-
-
-
20
-
-
-
30
30
Big Data D1
-
-
-
-
20
-
-
-
-
30


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