When you create a large number of elastic container instances, the resources that you can use may be insufficient. In this case, we recommend that you specify multiple specifications. The system tries to create the instances based on the sequence of the specified specifications. This improves the creation success rate.
Background Information
If you specify multiple specifications when you create an elastic container instance, the system tries to use the specifications in sequence. This improves the creation success rate.
Note During the retry, the instance remains in the Pending state.
The multi-specification mode is effective at the instance level and only affects the creation policy of a single instance.
You can also specify multiple zones when you use the multi-specification mode. This further improves the creation success rate.
Supported specifications
vCPU and memory specifications supported by Elastic Container Instance
Specifications supported in all regions where Elastic Container Instance is available
Nubmer of vCPUs | Memory (GiB) | Bandwidth (bidirectional, Gbit/s, theoretical upper limit) |
0.25 | 0.5 and 1 | 0.08 |
0.5 | 1 and 2 | 0.08 |
1 | 2, 4, and 8 | 0.1 |
2 | 1, 2, 4, 8, and 16 | 1 |
4 | 2, 4, 8, 16, and 32 | 1.5 |
8 | 4, 8, 16, 32, and 64 | 2 |
12 | 12, 24, 48, and 96 | 2.5 |
16 | 16, 32, 64, and 128 | 3 |
24 | 24, 48, 96, and 192 | 4.5 |
32 | 32, 64, 128, and 256 | 6 |
52 | 96, 192, and 384 | 12.5 |
56 | 224 | 10 |
64 | 128, 256, and 512 | 20 |
Specifications supported in only some regions
Important The specifications contained in the following table are supported only in some regions. When you create an elastic container instance that has one of the following specifications, make sure that the corresponding specifications are supported in the specified region and zone. Otherwise, the instance cannot be created because no resources exist in the region and zone.
The regions that support the specifications contained in the following table include: China (Hangzhou), China (Shanghai), China (Qingdao), China (Beijing), China (Zhangjiakou), China (Hohhot), China (Ulanqab), China (Shenzhen), China (Heyuan), China (Guangzhou), China (Chengdu), and Singapore.
You cannot specify the specifications in the following table to create preemptible instances.
Number of vCPUs | Memory (GiB) | Bandwidth (bidirectional, Gbit/s, theoretical upper limit) |
2 | 6, 10, 12, and 14 | 1 |
4 | 6, 10, 12, 14, 18, 20, 22, 24, 26, 28, and 30 | 1.5 |
6 | 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, and 48 | 1.5 |
8 | 10, 12, 14, 18, 20, 22, 24, 26, 28, 30, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, and 62 | 2.5 |
ECS instance families supported by Elastic Container Instance
x86-based enterprise-level computing instance families
x86-based ECS instance types are based on the x86 architecture. Each vCPU corresponds to a hyper-thread of a processor core. They deliver stable performance and are suitable for scenarios such as enterprise-level applications, database systems, video encoding and decoding, and data analysis.
Category | x86-based enterprise-level instance family |
General-purpose instance families | g8i, g7a, g7, g6e, g6a, g6, g5, sn2, and sn2ne |
Compute-optimized instance families | c8a, c8i, c7a, c7, c6e, c6a, c6, c5, sn1, and sn1ne |
Memory optimized instance families | r7a, r7, r6e, r6a, r6, r5, se1ne, and se1 |
Unified-computing instance families | u1 |
Compute-intensive instance families | ic5 |
Instance families with high clock speeds | hfg7, hfg6, and hfg5 hfc7, hfc6, and hfc5 hfr7
|
Big data instance families | d1 and d1ne |
Instance families with local SSDs | i2 and i2g |
Enterprise-level heterogeneous computing instance families
GPU-accelerated ECS instance types contain GPUs and are suitable for scenarios such as deep learning and image processing. GPU-related Docker images can be directly run on a GPU-accelerated elastic container instance. A NVIDIA GPU driver is pre-installed in the instance. The supported driver and CUDA versions vary with GPU types.
Category | GPU-accelerated instance family | Driver and CUDA versions |
vGPU-accelerated instance families | sgn7i-vws | NVIDIA 470.141.03 and CUDA 11.4 |
vgn7i-vws |
vgn6i-vws |
GPU-accelerated compute-optimized instance families | gn7e | NVIDIA 470.82.01 and CUDA 11.4 |
gn7i |
gn7s |
gn7 |
gn6v |
gn6e |
gn6i |
gn5i |
gn5 |
ARM-based enterprise-level computing instance families
ARM-based ECS instance types are based on the ARM architecture. Each vCPU corresponds to a physical core of a processor. They deliver stable performance and provide exclusive resources. They are suitable for scenarios such as containers, microservices, website and application servers, high-performance computing, and CPU-based machine learning.
Category | ARM-based instance family |
General-purpose instance families | g8y |
Compute-optimized instance families | c8y |
Memory optimized instance families | r8y |
x86-based shared computing instance families
Shared ECS instance types are suitable for small and medium-sized websites and individuals. Compared with enterprise-level ECS instance types, shared ECS instance types emphasize the sharing of resource performance to maximize resource utilization. In this case, the stability of computing performance cannot be ensured, but the cost is reduced.
Category | x86-based shared instance family |
Burstable instance families | t6 and t5 |
Economy instance families | e |
Important If you use burstable instance families, take note of the following items:
Burstable instances use CPU credits to maintain computing performance and are suitable for scenarios in which CPU utilization is typically low but experiences occasional bursts. For more information about burstable instances, see Overview.
You can view the CPU credits of burstable instances in CloudMonitor. For more information, see Use CloudMonitor to monitor elastic container instances.
You cannot enable the unlimited mode for burstable instances.
For more information about ECS instance types, see the following topics:
Configuration description
Note You can specify multiple specifications only in the API mode.
When you call the CreateContainerGroup API operation to create an elastic container instance, you can use the InstanceType parameter to specify multiple specifications.
When you specify multiple specifications, you can specify vCPU and memory specifications or ECS instance types. You can also specify both of them.
You must specify specifications in a priority order. Up to five specifications can be specified.
If you want to create GPU-accelerated elastic container instances, elastic container instances that use local disks, or Arm-based elastic container instances, you can only specify corresponding specifications. The specifications that do not support the preceding features cannot be specified. For more information, see Specify ECS instance types to create an elastic container instance.
The following table describes the InstanceType parameter. For more information, see CreateContainerGroup.
Parameter | Type | Example | Description |
InstanceType | String | 2-4Gi,ecs.c6.xlarge,ecs.g6.xlarge | The specifications for the instance. You can specify up to five specifications at a time. Separate multiple specifications with commas (,). |