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Platform For AI:Billing for DLC

Last Updated:Mar 23, 2026

Learn how DLC charges for computing resources, including billing methods, pricing, and examples.

Billing overview

DLC charges for computing resources, which fall into two categories: Public Resources and AI Computing Resources.

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Billable items

DLC charges for computing resources based on resource type and billing method.

Resource type

Billing method

Billable item

Billing rule

Stop condition

Public Resources

Pay-as-you-go

Training job duration

Cost = Number of nodes × (Unit price / 60) × Usage duration (in minutes)

  • Training job completes

  • Training job status is Stopped

AI Computing Resources (including general-purpose computing resources and Lingjun Resources)

Subscription

For more information, see Billing for AI computing resources.

For more information, see Billing for AI computing resources.

N/A

Billing examples

Important

These examples are for reference only. Actual fees are shown on the purchase page and Console.

Pay-as-you-go example

  • Scenario:

    A training job runs in China (Shanghai) using one ecs.g6.2xlarge instance from Public Resources for 1 minute and 15 seconds.

  • Cost calculation:

    Cost = 1 × 0.6 / 60 × 1.25 = 0.0125 USD

Subscription example for AI resources

For billing examples of AI Computing Resources, see Billing for AI computing resources.

Available public resources

The following table lists general-purpose instance types available as Public Resources in DLC. For a complete list, check the Resource Information section on the Create Job page in the DLC Console. See Create a Training Job by using the console. Available instance types vary by region; the Console takes precedence.

Instance type

Specification

GPU

ecs.g6.xlarge

4 vCPU + 16 GB memory

None

ecs.c6.large

2 vCPU + 4 GB memory

None

ecs.g6.large

2 vCPU + 8 GB memory

None

ecs.g6.2xlarge

8 vCPU + 32 GB memory

None

ecs.g6.4xlarge

16 vCPU + 64 GB memory

None

ecs.g6.8xlarge

32 vCPU + 128 GB memory

None

ecs.r7.large

2 vCPU + 16 GB memory

None

ecs.r7.xlarge

4 vCPU + 32 GB memory

None

ecs.r7.2xlarge

8 vCPU + 64 GB memory

None

ecs.r7.4xlarge

16 vCPU + 128 GB memory

None

ecs.r7.6xlarge

24 vCPU + 192 GB memory

None

ecs.r7.8xlarge

32 vCPU + 256 GB memory

None

ecs.r7.16xlarge

64 vCPU + 512 GB memory

None

ecs.g5.xlarge

4 vCPU + 16 GB memory

None

ecs.g7.xlarge

4 vCPU + 16 GB memory

None

ecs.g7.2xlarge

8 vCPU + 32 GB memory

None

ecs.g5.2xlarge

8 vCPU + 32 GB memory

None

ecs.g6.3xlarge

12 vCPU + 48 GB memory

None

ecs.g7.3xlarge

12 vCPU + 48 GB memory

None

ecs.g7.4xlarge

16 vCPU + 64 GB memory

None

ecs.r7.3xlarge

12 vCPU + 96 GB memory

None

ecs.c6e.8xlarge

32 vCPU + 64 GB memory

None

ecs.g6.6xlarge

24 vCPU + 96 GB memory

None

ecs.g7.6xlarge

24 vCPU + 96 GB memory

None

ecs.g5.4xlarge

16 vCPU + 64 GB memory

None

ecs.hfc6.8xlarge

32 vCPU + 64 GB memory

None

ecs.g7.8xlarge

32 vCPU + 128 GB memory

None

ecs.hfc6.10xlarge

40 vCPU + 96 GB memory

None

ecs.g6.13xlarge

52 vCPU + 192 GB memory

None

ecs.g5.8xlarge

32 vCPU + 128 GB memory

None

ecs.hfc6.16xlarge

64 vCPU + 128 GB memory

None

ecs.g7.16xlarge

64 vCPU + 256 GB memory

None

ecs.hfc6.20xlarge

80 vCPU + 192 GB memory

None

ecs.g6.26xlarge

104 vCPU + 384 GB memory

None

ecs.g5.16xlarge

64 vCPU + 256 GB memory

None

ecs.r5.8xlarge

32 vCPU + 256 GB memory

None

ecs.re6.13xlarge

52 vCPU + 768 GB memory

None

ecs.re6.26xlarge

104 vCPU + 1,536 GB memory

None

ecs.re6.52xlarge

208 vCPU + 3,072 GB memory

None

ecs.g7.32xlarge

128 vCPU + 512 GB memory

None

ecs.gn7i-c8g1.2xlarge

8 vCPU + 30 GB memory

1 × NVIDIA A10

ecs.gn6v-c8g1.2xlarge

8 vCPU + 32 GB memory

1 × NVIDIA V100

ecs.gn6e-c12g1.24xlarge

96 vCPU + 736 GB memory

8 × NVIDIA V100

ecs.gn6v-c8g1.16xlarge

64 vCPU + 256 GB memory

8 × NVIDIA V100

ecs.gn6v-c10g1.20xlarge

82 vCPU + 336 GB memory

8 × NVIDIA V100

ecs.gn6e-c12g1.12xlarge

48 vCPU + 338 GB memory

4 × NVIDIA V100

ecs.gn6v-c8g1.8xlarge

32 vCPU + 128 GB memory

4 × NVIDIA V100

ecs.gn6i-c24g1.24xlarge

96 vCPU + 372 GB memory

4 × NVIDIA T4

ecs.gn5-c8g1.4xlarge

16 vCPU + 120 GB memory

2 × NVIDIA P100

ecs.gn7i-c32g1.16xlarge

64 vCPU + 376 GB memory

2 × NVIDIA A10

ecs.gn6i-c24g1.12xlarge

48 vCPU + 186 GB memory

2 × NVIDIA T4

ecs.gn6e-c12g1.3xlarge

12 vCPU + 92 GB memory

1 × NVIDIA V100

ecs.gn5-c4g1.xlarge

4 vCPU + 30 GB memory

1 × NVIDIA P100

ecs.gn5-c8g1.2xlarge

8 vCPU + 60 GB memory

1 × NVIDIA P100

ecs.gn5-c28g1.7xlarge

28 vCPU + 112 GB memory

1 × NVIDIA P100

ecs.gn6i-c4g1.xlarge

4 vCPU + 15 GB memory

1 × NVIDIA T4

ecs.gn6i-c8g1.2xlarge

8 vCPU + 31 GB memory

1 × NVIDIA T4

ecs.gn6i-c16g1.4xlarge

16 vCPU + 62 GB memory

1 × NVIDIA T4

ecs.gn6i-c24g1.6xlarge

24 vCPU + 93 GB memory

1 × NVIDIA T4

ecs.gn7i-c32g1.8xlarge

32 vCPU + 188 GB memory

1 × NVIDIA A10

ecs.gn7e-c16g1.4xlarge

16 vCPU + 125 GB memory

1 × GU50

ecs.gn7-c12g1.3xlarge

12 vCPU + 95 GB memory

1 × GU50

ecs.gn7i-c16g1.4xlarge

16 vCPU + 60 GB memory

1 × NVIDIA A10

ecs.gn7-c13g1.26xlarge

104 vCPU + 760 GB memory

8 × GU50

ecs.ebmgn7e.32xlarge

128 vCPU + 1,024 GB memory

8 × GU50

ecs.gn7i-c32g1.32xlarge

128 vCPU + 752 GB memory

4 × NVIDIA A10

ecs.gn7-c13g1.13xlarge

52 vCPU + 380 GB memory

4 × GU50

ecs.gn7s-c32g1.32xlarge

128 vCPU + 1,000 GB memory

4 × NVIDIA A30

ecs.gn7s-c56g1.14xlarge

56 vCPU + 440 GB memory

1 × NVIDIA A30

ecs.gn7s-c48g1.12xlarge

48 vCPU + 380 GB memory

1 × NVIDIA A30

ecs.gn7s-c16g1.4xlarge

16 vCPU + 120 GB memory

1 × NVIDIA A30

ecs.gn7s-c8g1.2xlarge

8 vCPU + 60 GB memory

1 × NVIDIA A30

ecs.gn7s-c32g1.8xlarge

32 vCPU + 250 GB memory

1 × NVIDIA A30