For 深層学習エンジニアおよび機械学習プラットフォーム担当者
GPUSOROBANにおける多重GPU P2P通信ストールとPCIeトポロジ競合の解決
物理NUMAソケット配置に対するCUDA_VISIBLE_DEVICESの不整合やコンテナランタイムの共有メモリ/dev/shm容量不足を即時に検出します。
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GPUSOROBANマルチGPU障害ログを再生
Upload your log file. Review the selected evidence and masking, then run diagnosis. Keep the original log for any follow-up questions.
Before uploading, review cloud data handling and local options.
Upload your log file. Large files are processed in your browser. Only selected evidence is submitted when you run diagnosis.
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Up to 50 diagnoses a day for 30 days. Verify your work email to activate an eligible company evaluation, then replay a resolved incident and compare the evidence and next steps with your team's confirmed cause.
What a useful evaluation should establish
ハードウェアの初期不良とコンテナ/環境変数の設定不備を明確に分離し、無駄なインスタンス交換を防止します。
Use Denpex alongside your existing telemetry tools to investigate submitted incident evidence. With monitoring configured on a supported plan, detected failures can trigger alerts and an automatic diagnosis from the captured evidence.
Inside Denpex
See the evidence, not just the claim
Follow the causal chain, inspect the quoted evidence and prepare the next handoff. These actual product captures use founder-account examples and the VS Code extension, with the source identified under each image. Open a capture to inspect it at full size.
Follow the failure through the cascade

Prepare the hardware escalation

Ask for the evidence that is missing

Keep the investigation in the editor

GPUSOROBAN (Highreso) - Observed Runtime Evidence
Incident pattern summary
GPUSOROBANの専用GPUサーバー上でPyTorch DDPプロセスがピアアクセス不整合により起動直後にクラッシュ。NCCL_P2P_DISABLE設定またはNUMAアフィニティの最適化手順を提示します。
RuntimeError: CUDA error: peer access is not supported between these two devices
terminate called after throwing an instance of 'c10::Error'
[E 2026-10-28 02:41:10.512901 19284 orted] [node01:19284] mca_oob_tcp_peer_try_connect: connect to 192.168.10.5:41920 failed, retrying...Recommended verification flags
Set these environment flags in your training container or launch script to capture high-resolution collective logs:
NCCL_P2P_DISABLE=1NCCL_DEBUG=INFOCUDA_DEVICE_ORDER=PCI_BUS_IDTORCH_CPP_LOG_LEVEL=INFODiagnostic Scope Boundary
DenpexはホストのBIOS IOMMU設定を直接変更することはできません。ログ分析に基づき、環境変数による回避策と適切な構成手順を明示します。
Other GPU Cloud Failure Workflows
Compare evidence patterns across multi-node fabrics, Kubernetes pods, and bare-metal environments.