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Yandex Managed Service for Kubernetes
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    • Recommended master configurations
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  • Pricing policy
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In this article:

  • Prerequisites
  • Pricing
  • Use cases
  1. Concepts
  2. Node group
  3. Node groups with GPUs

Node groups with GPUs

Written by
Yandex Cloud
Updated at July 20, 2026
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  • Prerequisites
  • Pricing
  • Use cases

In a Managed Service for Kubernetes cluster, you can create node groups with graphics accelerators (GPUs). A node is created from an image of a GPU-compatible VM with NVIDIA drivers and CUDA libraries installed for GPU acceleration.

Note

The cgroup v2 resource management mechanism is not supported for nodes on the Gen2 (gpu-standard-v3i) platform.

PrerequisitesPrerequisites

  • A cloud must have a non-zero GPU quota.

    By default, a cloud has a zero quota for creating VMs with GPUs. You can request a quota increase in the management console. To do this, you need the quota-manager.requestOperator role or higher.

  • You can create VMs based on Intel Broadwell with NVIDIA® Tesla® V100, Intel Cascade Lake with NVIDIA® Tesla® V100, and AMD EPYC™ with NVIDIA® Ampere® A100 in the ru-central1-a and ru-central1-b availability zones.

    When selecting these platforms, the node group must reside in one or both of the specified availability zones.

PricingPricing

To run node groups with GPUs, you need a Managed Service for Kubernetes cluster, a VM with a GPU, and traffic. Therefore, billing includes the following:

  • Managed Service for Kubernetes master usage is charged according to the Managed Service for Kubernetes pricing policy.
  • VM with a GPU, according to the Yandex Compute Cloud pricing policy.
  • Outgoing traffic, according to the Yandex Virtual Private Cloud pricing policy.

Use casesUse cases

  • Using node groups with GPUs without pre-installed drivers

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Reserved instance pools for node groups
© 2026 Direct Cursus Technology L.L.C.