Computing resources - Cloud Box - Alibaba Cloud Documentation Center

Computing resources are the core components of CloudBox, such as vCPUs and memory resources. When you purchase a cloud box, you must purchase computing resources. This topic describes the billing of computing resources of CloudBox. This topic also describes the types of compute stock keeping units (SKUs) that you can purchase.

Billing

CloudBox provides computing resources in compute SKUs. Each SKU has different vCPU and memory specifications. A cloud box contains at least one compute SKU. You can purchase multiple compute SKUs of different types and quantities based on your business requirements. For more information, see Compute SKU specifications.

You are charged based on the unit price, quantity, and subscription duration of the purchased compute SKUs. Formula: Fees for compute SKUs = Unit price of SKUs × Number of SKUs × Subscription duration.

Unit price: The unit price of each compute SKU varies with the number of vCPUs and the memory size in the compute SKU.
Note Log on to the CloudBox console to view the specifications and prices of compute SKUs.
Number: You can purchase multiple compute SKUs for each compute SKU type.
Years: Compute SKUs are purchased on a yearly basis. If you purchase a cloud box for the first time, the initial subscription duration must be three or five years.

Payment

The fees for computing resources and other resources purchased in the same cloud box order are paid together. The subscription billing method is supported. You can select All Upfront or Half Upfront as the payment option.

All Upfront: You must make a one-time full payment at the time of purchase.
Half Upfront: You can pay 50% of the fees first, and then equally pay the rest by month.
After you accept the purchased cloud box, Alibaba Cloud generates bills on the first day of each month based on the remaining unpaid fees and subscription duration. The amount of each monthly bill is the same. Make sure that you have sufficient balance within your account to pay the bills at the earliest opportunity. If you do not pay the bills within seven calendar days after you receive the bills, your cloud box cannot provide services normally.

Compute SKU specifications

Compute SKUs are the core compute units of CloudBox. A compute SKU specifies the number of vCPUs and the memory size. Each compute SKU provides the instance type of the highest specifications among its family and determines the instance family and number of ECS instances in a cloud box. The following table describes the instance types of the highest specifications provided by compute SKUs.


Instance type of the highest specifications	Type	Description	Other instance types of the same instance family
ecs.g6.26xlarge	General-purpose	Offers a vCPU-to-memory ratio of 1:4. Uses 2.5 GHz Intel ® Xeon ® Platinum 8269CY (Cascade Lake) processors that deliver a turbo frequency of 3.2 GHz.	Examples: ecs.g6.large and ecs.g6.xlarge
ecs.c6.26xlarge	Compute-optimized	Offers a vCPU-to-memory ratio of 1:2. Uses 2.5 GHz Intel Xeon Platinum 8269CY (Cascade Lake) processors that deliver a turbo frequency of 3.2 GHz.	Examples: ecs.c6.large and ecs.c6.xlarge
ecs.r6.26xlarge	Memory-optimized	Offers a vCPU-to-memory ratio of 1:8. Uses 2.5 GHz Intel ® Xeon ® Platinum 8269CY (Cascade Lake) processors that deliver a turbo frequency of 3.2 GHz.	Examples: ecs.r6.large and ecs.r6.xlarge
ecs.gn6i-c24g1.24xlarge	GPU-accelerated compute-optimized	Offers a vCPU-to-memory ratio of 1:4. Uses 2.5 GHz Intel ® Xeon ® Platinum 8163 (Skylake) processors. GPU accelerator: NVIDIA T4	Example: ecs.gn6i-c4g1.xlarge
ecs.g6se.26xlarge	Storage-enhanced	Offers a vCPU-to-memory ratio of 1:4. Uses 2.5 GHz Intel ® Xeon ® Platinum 8269CY (Cascade Lake) processors that deliver a turbo frequency of 3.2 GHz. Provides enhanced storage and delivers a sequential read/write throughput of up to 32 Gbit/s per instance.	Examples: ecs.g6se.large and ecs.g6se.xlarge

When you create an ECS instance, you can select other instance types that belong to the same instance family as the instance type of the highest specifications. The vCPU-to-memory ratio of instance types in the same instance family is the same. For example, if the instance type of the highest specifications supported by the purchased compute SKU is ecs.g6.26xlarge and the vCPU-to-memory ratio of this instance type is 1:4, you can choose ecs.g6.large of 2 vCPUs and 8 GiB of memory or ecs.g6.xlarge of 4 vCPUs and 16 GiB of memory when you create an ECS instance.

Compute SKUs are classified into general-purpose compute units, compute-optimized units, memory-optimized units, and GPU-accelerated compute units based on scenarios. You can purchase multiple types of compute SKUs to combine multiple instance types.

Note If the specifications of existing compute SKUs do not meet your business requirements, you can contact your account manager to customize the specifications of compute SKUs.

Table 1. General-purpose compute units
SKU ID	vCPU	Memory (GiB)	Instance type of the highest specifications	Instance quantity	Description
OR-3EAB470501	208	768	ecs.g6.26xlarge	2	A small general-purpose unit that is suitable for running applications in industries such as retail or enterprise.
OR-E651CE3606	416	1536	ecs.g6.26xlarge	4	A small and medium-sized general-purpose unit that is suitable for running applications in industries such as retail or enterprise.
OR-68B18B81EE	624	2688	ecs.g6.26xlarge	2	A medium-sized hybrid capacity unit that is suitable for running applications of multiple teams on a single cloud box.
			ecs.c6.26xlarge	2
			ecs.r6.26xlarge	2
OR-218DCFD832	936	3648	ecs.g6.26xlarge	4	A large hybrid capacity unit that is suitable for running different applications on a single cloud box and sharing capacity.
			ecs.c6.26xlarge	3
			ecs.r6.26xlarge	2
OR-724E59CD09	624	2304	ecs.g6.26xlarge	6	A medium-sized general-purpose unit that is suitable for running applications in industries such as sales systems or enterprise workspaces.
OR-A8B62E9514	936	3456	ecs.g6.26xlarge	9	A large general-purpose unit that is suitable for running IoT applications that can store and manage sensor data.
OR-B900CF0F79	624	1728	ecs.g6.26xlarge	3	A medium-sized general-purpose compute unit that is suitable for running applications that require high-performance computing.
OR-B900CF0F79	624	1728	ecs.c6.26xlarge	3
OR-2603EC27DF	936	2880	ecs.g6.26xlarge	6	A large general-purpose compute unit that is suitable for running compute-intensive applications.
OR-2603EC27DF	936	2880	ecs.c6.26xlarge	3
OR-6BF6AC9C02	416	1536	ecs.g6se.26xlarge	4	A small and medium-sized general-purpose compute unit that is suitable for running I/O-intensive applications such as large and medium-sized online transaction processing (OLTP) core databases.
OR-715AEEC381	936	3456	ecs.g6se.26xlarge	9	A large and medium-sized general-purpose compute unit that is suitable for running I/O-intensive applications such as large and medium-sized OLTP core databases.

Table 2. Compute-optimized units
SKU ID	vCPU	Memory (GiB)	Instance type of the highest specifications	Instance quantity	Description
OR-BC72F47D81	208	384	ecs.c6.26xlarge	2	A small compute-optimized unit that is suitable for running compute-intensive applications.
OR-8E676BE2D7	416	768	ecs.c6.26xlarge	4	A small and medium-sized compute-optimized unit that is suitable for running compute-intensive applications.
OR-D4ADF7B9A7	936	1728	ecs.c6.26xlarge	9	A medium-sized compute-optimized unit that is suitable for running compute-intensive applications.
OR-E05A0A94CB	624	1536	ecs.c6.26xlarge	4	A medium-sized general-purpose compute unit that is suitable for running applications that require high-performance computing.
OR-E05A0A94CB	624	1536	ecs.g6.26xlarge	2
OR-EFC36249B2	936	2304	ecs.c6.26xlarge	6	A large general-purpose compute unit that is suitable for running applications that require high-performance computing.
OR-EFC36249B2	936	2304	ecs.g6.26xlarge	3

Table 3. Memory-optimized units
SKU ID	vCPU	Memory (GiB)	Instance type of the highest specifications	Instance quantity	Description
OR-A6A14CF18D	624	3840	ecs.r6.26xlarge	4	A small memory-optimized unit that is suitable for running on-premises databases that provide the memory analysis feature.
OR-A6A14CF18D	624	3840	ecs.g6.26xlarge	2
OR-31D9EEAC15	624	4608	ecs.r6.26xlarge	6	A medium-sized memory-optimized unit that is suitable for running on-premises databases that provide the memory analysis feature.
OR-D598F0C820	832	6144	ecs.r6.26xlarge	8	A large memory-optimized unit that is suitable for running large on-premises databases.

Table 4. GPU-accelerated compute-optimized units
SKU ID	vCPU	Memory (GiB)	GPU	Instance type of the highest specifications	Instance quantity	Description
OR-FD8C1EA2E4	592	2256	NVIDIA T4 * 16	ecs.gn6i-c24g1.24xlarge	4	Suitable for processing AI-based deep learning computing tasks such as image classification, object recognition, video moderation, character recognition, and speech recognition. Suitable for processing professional graphics tasks such as image rendering, industrial 3D design, and non-linear video editing.
OR-FD8C1EA2E4	592	2256	NVIDIA T4 * 16	ecs.g6.26xlarge	2
OR-48E9DF43BC	304	1140	NVIDIA T4 * 4	ecs.gn6i-c24g1.24xlarge	1	Suitable for processing AI-based deep learning computing tasks such as image classification, object recognition, video moderation, character recognition, and speech recognition. Suitable for processing professional graphics tasks such as image rendering, industrial 3D design, and non-linear video editing.
OR-48E9DF43BC	304	1140	NVIDIA T4 * 4	ecs.g6.26xlarge	2