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Yandex Managed Service for Kubernetes
  • Comparison with other Yandex Cloud services
  • Getting started
    • Resource relationships
    • Release channels and updates
    • Encryption
      • Cluster autoscaler
      • Evicting pods from nodes
      • Dynamic resource allocation for a node
      • Node groups with GPUs
    • Networking in Managed Service for Kubernetes
    • Network settings and cluster policies
    • Automatic scaling
    • Audit policy
    • External cluster nodes
    • Quotas and limits
    • Managed Service for Kubernetes usage recommendations
  • Access management
  • Pricing policy
  • Terraform reference
  • Monitoring metrics
  • Audit Trails events
  • Release notes

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 April 18, 2025
  • Prerequisites
  • Pricing
  • Use cases

You can create Managed Service for Kubernetes cluster 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.

Prerequisites

  • 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.

  • A node group must reside in the ru-central1-a or ru-central1-b availability zone, or in both. VMs with GPUs are only available in these zones.

    When requesting a GPU quota, keep in mind which zones you are going to run your Kubernetes clusters in.

Pricing

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

  • Using a Managed Service for Kubernetes master 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 cases

  • Using node groups with GPUs and no pre-installed drivers

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Dynamic resource allocation for a node
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Networking in Managed Service for Kubernetes
© 2025 Direct Cursus Technology L.L.C.