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Container Service for Kubernetes:Lingjun node management fees

Last Updated:Jul 31, 2025

This topic describes the billing rules for Lingjun node management in ACK managed Pro clusters.

Billing overview

When you manage Lingjun nodes through Lingjun node pools in an ACK Pro managed cluster, the fees consist of three parts: Cluster management fees, Lingjun node management fees, and Cloud product resource fees. Lingjun node management fees are charged only when a Lingjun node pool contains Lingjun nodes.

Note

The free invitational preview for the Lingjun node management feature ends on August 05, 2025, and commercial billing will begin. For more information, see [Billing Announcement] Lingjun Node Management Billing Announcement. During the invitational preview period, the Lingjun node pool feature is free to use. However, other fees for ACK managed Pro clusters, such as cluster management fees and cloud product resource fees, are charged as usual. For more information, see Billing overview.

Lingjun node management fees

Lingjun node pools simplify node operations and maintenance (O&M) by allowing you to manage Lingjun compute nodes in batches and by providing automated O&M capabilities. Lingjun node pools also provide heterogeneous resource scheduling capabilities, such as GPU sharing and topology-aware scheduling, to improve application performance and overall cluster resource utilization. For tasks such as AI and High-Performance Computing (HPC), Lingjun node pools provide rich scheduling policies and task priority queues. These features optimize the scheduling efficiency of AI training and inference jobs and unify the management and delivery of AI resources and payloads.

GPU usage is billed using a tiered, cumulative method. The billing tiers and unit prices are as follows.

Tier

Number of GPU cards

Unit price

Tier 1

(0,100]

USD 1.5625/GPU card/day

Tier 2

(100,500]

USD 1.25/GPU card/day

Tier 3

(500,1000]

USD 0.9375/GPU card/day

Tier 4

(1000,+∞)

USD 0.625/GPU card/day

Billing method

Pay-as-you-go. The system periodically collects statistics and reports the number of GPUs in the cluster nodes.

Billing cycle

Bills are generated daily. The daily fee is calculated based on the maximum number of GPUs reported on that day.