Yandex Cloud
Search
Discuss with expertTry it for free
  • Customer Stories
  • Documentation
  • Blog
  • All Services
    • Cloud Interconnect
    • Cloud Backup
    • Cloud Registry
    • Yandex AI Studio
    • Compute Cloud
    • Object Storage
    • Managed Service for Kubernetes®
    • Yandex BareMetal
    • Smart Web Security
    • Security Deck
    • Managed Service for PostgreSQL
    • Managed Service for ClickHouse®
    • Monium
    • Cloud CDN
    • Network Load Balancer
    • Virtual Private Cloud
    • Cloud DNS
    • Application Load Balancer
    • Yandex Cloud Video
    • Stackland
    • Yandex Cloud Router
    • Yandex Managed Service for Trino
    • Managed Service for MySQL®
    • Managed Service for Valkey™
    • Managed Service for Apache Spark™
    • Yandex StoreDoc
    • Managed Service for OpenSearch
    • Managed Service for Apache Kafka®
    • Data Transfer
    • Yandex MPP Analytics Engine for PostgreSQL
    • Yandex Managed Service for Apache Airflow®
    • Data Processing
    • Yandex MetaData Hub
    • Managed Service for YDB
    • Managed Service for Sharded PostgreSQL
    • Managed Service for YTsaurus
    • Yandex WebSQL
    • DataLens
    • Yandex Search API
    • SpeechSense
    • SpeechKit
    • DataSphere
    • Vision OCR
    • Translate
    • Yandex Identity Hub
    • Key Management Service
    • Certificate Manager
    • Yandex Lockbox
    • Audit Trails
    • SmartCaptcha
    • Cloud Desktop
    • SourceCraft Code Assistant
    • Container Registry
    • Managed Service for GitLab
    • Managed Service for Prometheus®
    • Cloud Functions
    • API Gateway
    • Yandex Cloud Postbox
    • Message Queue
    • Serverless Integrations
    • IoT Core
    • Data Streams
    • Serverless Containers
    • Cloud Notification Service
    • Yandex Query
    • Identity and Access Management
    • Yandex Cloud Console
    • Resource Manager
    • Yandex Cloud Billing
    • Yandex Cloud Quota Manager
    • Cloud Apps
  • System Status
  • Marketplace
    • Featured
    • Infrastructure & Network
    • Data Platform
    • AI for business
    • Security
    • DevOps tools
    • Serverless
    • Monitoring & Resources
  • All Solutions
    • By industry
    • By use case
    • Economics and Pricing
    • Security
    • Technical Support
    • Start testing with double trial credits
    • Cloud credits to scale your IT product
    • Gateway to Russia
    • Cloud for Startups
    • Center for Technologies and Society
    • Yandex Cloud Partner program
    • Price calculator
    • Pricing plans
  • Customer Stories
  • Documentation
  • Blog
© 2026 Direct Cursus Technology L.L.C.
Yandex Compute Cloud
  • Yandex Container Solution
  • Access management
  • Pricing policy
  • Terraform reference
  • Metrics Monitoring
  • Audit Trails events
  • Release notes
    • General questions
    • Virtual machines
    • _Not enough resources_ error
    • Connection
    • Disks, snapshots, and images
    • Instance groups
    • Graphics processing units (GPUs)
    • Monitoring
    • Licensing
    • Troubleshooting
    • All questions on one page
  1. FAQ
  2. Graphics processing units (GPUs)

FAQ on graphics processing units (GPUs) in Compute Cloud

Written by
Yandex Cloud
Updated at July 31, 2026
View in Markdown
  • What should I do if there is a GPU failure on the VM?

  • "Not Supported" GPU reset error

  • "In use by another client" GPU reset error

  • "Unknown Error" when running nvidia-smi commands

  • "Warning: persistence mode is disabled on device" error when enabling MIG mode

  • How do I test a GPU cluster physical state?

  • How do I run parallel tasks in a GPU cluster?

  • How do I test InfiniBand throughput?

What should I do if there is a GPU failure on the VM?What should I do if there is a GPU failure on the VM?

Try stopping and restarting the VM. This is usually more effective than a reboot, since when you reboot a VM, it remains on the same host where the GPU issue occurred.

"Not Supported" GPU reset error"Not Supported" GPU reset error

You may get the following error when running sudo nvidia-smi -r:

The following GPUs could not be reset:
  GPU 00000000:8B:00.0: Not Supported
  GPU 00000000:8C:00.0: Not Supported

This error indicates an active NVLink on your GPUs. Disable it and try resetting them again.

"In use by another client" GPU reset error"In use by another client" GPU reset error

You may get the following error when running sudo nvidia-smi -r:

The following GPUs could not be reset:
  GPU 00000000:8B:00.0: In use by another client
  GPU 00000000:8C:00.0: In use by another client

2 devices are currently being used by one or more other processes (e.g., Fabric Manager, CUDA application, graphics application such as an X server, or a monitoring application such as another instance of nvidia-smi). Please first kill all processes using these devices and all compute applications running in the system.

This means your GPUs are currently in use by another process, e.g., the nvidia_drm module with enabled modeset=1, or a user process holding a lock on the device.

To fix the issue:

  1. Check if nvidia_drm is running with modeset=1:

    cat /sys/module/nvidia_drm/parameters/modeset
    

    If the output returns Y, disable modeset. Do to this, create a file named /etc/modprobe.d/nomodeset.conf with the following contents:

    options nvidia-drm modeset=0
    
  2. Update initramfs (Initial RAM File System):

    sudo update-initramfs -u
    
  3. Identify the processes holding a lock on the device:

    sudo ls -l /proc/*/fd/* | grep /dev/nvidia
    
    Example of the command output
    lrwx------ 1 root             root             64 Jun 17 12:01 /proc/1574/fd/3 -> /dev/nvidiactl
    lrwx------ 1 root             root             64 Jun 17 12:01 /proc/1574/fd/4 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 12:01 /proc/1574/fd/5 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 12:01 /proc/1574/fd/6 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 12:01 /proc/1574/fd/7 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/13 -> /dev/nvidiactl
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/17 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/18 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/19 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/20 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/24 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/25 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/27 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/28 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/29 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/3 -> /dev/nvidiactl
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/39 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/43 -> /dev/nvidia0
    lrwx------ 1 root             root             64 Jun 17 11:59 /proc/904/fd/8 -> /dev/nvidia-modeset
    
  4. Terminate these processes by running sudo kill -9 <process_PID>.

  5. Try resetting your GPUs again:

    sudo nvidia-smi -r
    

Tip

If the modeset value reverts to 1 after a VM reboot, check that your file system has no other configurations that override this setting:

sudo grep -R "modeset=1" /etc

"Unknown Error" when running nvidia-smi commands"Unknown Error" when running nvidia-smi commands

If nvidia-smi commands, such as nvidia-smi --gpu-reset, return an Unknown Error, restart nvidia-persistenced:

sudo systemctl restart nvidia-persistenced

"Warning: persistence mode is disabled on device" error when enabling MIG mode"Warning: persistence mode is disabled on device" error when enabling MIG mode

If the nvidia-smi -mig 1 command output alerts you with Warning: persistence mode is disabled on device ..., start nvidia-persistenced:

sudo systemctl start nvidia-persistenced

How do I test a GPU cluster physical state?How do I test a GPU cluster physical state?

  • Test the InfiniBand ports.
  • Test the network.

For more information, see Testing a GPU cluster physical state.

How do I run parallel tasks in a GPU cluster?How do I run parallel tasks in a GPU cluster?

To run parallel tasks in a GPU cluster:

  1. Connect to each VM over SSH and install Open MPI and NCCL.
  2. On the main VM, build NVIDIA tests and set up passwordless SSH keys.
  3. Add a public key to authorized_keys on each VM.
  4. On the main VM, run the mpirun command specifying the VM IP addresses and number of GPUs.

For more information, see Running parallel tasks in a GPU cluster.

How do I test InfiniBand throughput?How do I test InfiniBand throughput?

To check InfiniBand throughput, create and run a script for starting perftest tests with numactl.

For more information, see Testing InfiniBand throughput.

Was the article helpful?

Previous
Instance groups
Next
Monitoring
© 2026 Direct Cursus Technology L.L.C.