이 문서에서는 NVIDIA Blackwell GPU를 사용하는 머신 유형에 대한 NVIDIA 버그 신고를 만드는 방법을 설명합니다.
NVIDIA Blackwell GPU를 사용하는 머신 유형을 확인하려면 GPU 모델을 참고하세요.
머신 유형이 NVIDIA Blackwell GPU 아키텍처를 사용하는 경우 nvidia-bug-report.sh 스크립트를 실행할 때 생성된 NVIDIA 버그 신고에 중요한 하위 수준 하드웨어 데이터가 포함되지 않습니다. 이 데이터에는 NVLink 연결의 물리적 계층 상태, 내부 GPU 레지스터 값, 펌웨어의 원시 진단 세그먼트와 같은 정보가 포함됩니다. 이 정보는 문제를 진단하는 데 특히 NVLink와 관련된 문제를 진단하는 데 필수적이며, NVLink와 관련된 문제는 GPU Xid 오류 또는 해결되지 않은 성능 저하로 이어질 수 있습니다.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-09-03(UTC)"],[],[],null,["# Generate NVIDIA bug report for Blackwell GPUs\n\n*** ** * ** ***\n\nThis document explains how to create an NVIDIA bug report for your machine types\nthat use [NVIDIA Blackwell GPUs](https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/).\nIf you want to identify which of your machine types are using the NVIDIA Blackwell GPU, see\n[GPU models](/compute/docs/gpus#gpu-models).\n\nIf your machine type uses the NVIDIA Blackwell GPU architecture, the generated\nNVIDIA bug report doesn't include critical low-level hardware data when you run\nthe [nvidia-bug-report.sh](https://docs.nvidia.com/deploy/rma-process/index.html#topic_3_1)\nscript. This data contains information such as the physical layer status of NVLink\nconnections, internal GPU register values, and raw diagnostic segments from the\nfirmware. This information is essential for diagnosing issues, especially those\nrelated to NVLink, which could lead to\n[GPU Xid errors](https://docs.nvidia.com/deploy/xid-errors/index.html#xid-error-listing)\nor unresolved performance degradation.\n\nGenerate an NVIDIA bug report\n-----------------------------\n\nTo generate a bug report, complete the following steps:\n\n1. Connect to your GPU instance. Choose one of the following options:\n\n - [Connect to Linux instances](/compute/docs/connect/standard-ssh)\n - [Connect to Windows instances](/compute/docs/instances/connecting-to-windows)\n2. Download and install the MFT package by selecting one of the following options:\n\n### Container-Optimized OS\n\n\nIf your instance uses a Container-Optimized OS (COS) as the\nguest operating system, use the open source [GCE COS NVIDIA Bug Report Collector](https://github.com/GoogleCloudPlatform/cluster-toolkit/tree/main/community/gce-cos-nvidia-bug-report)\ntool to generate the bug report with MFT. This tool automatically\ninjects supported MST kernel modules that match the COS kernel,\ninstalls the userspace tool, generates the bug report, and\noptionally uploads the result to a Cloud Storage bucket.\n\n### Other OS\n\nFor other Linux OSes, complete the following steps:\n\n1. Download and install NVIDIA Firmware Tools (MFT) software version 4.32.0 or higher from the [NVIDIA website](https://network.nvidia.com/products/adapter-software/firmware-tools/).\n2. Install the tool. For more information, see [Compilation and installation](https://docs.nvidia.com/networking/display/mftv4320/compilation+and+installation) in the NVIDIA Firmware Tools (MFT) Documentation. After you install MFT, the [nvidia-bug-report.sh](https://docs.nvidia.com/deploy/rma-process/index.html#topic_3_1) script automatically uses the MFT tools to generate the report. You don't need to interact with MFT tools directly.\n3. Run the `nvidia-bug-report.sh` script to generate a bug report. This process takes about two minutes.\n4. Extract the report.\n5. Verify that the report includes MFT data by running the following command on your extracted bug report file: \n\n ```\n grep -m 1 -A 30 \"Starting GPU MST dump..\" PATH_TO_UNZIPPED_BUG_REPORT\n ```\n\n The output is similar to the following example: \n\n ```text\n Starting GPU MST dump..\n ... (additional MFT data) ...\n \n ```"]]
