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gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture

GDRCopy could not pin the GPU virtual address into the CPU-visible BAR1 aperture. The allocation is not eligible for peer-direct mapping, BAR1 space is exhausted, or the kernel module and driver disagree. This entry explains how to confirm the cause, apply the fix, and separate it from adjacent gdr-fabric failures.

Quick answer

gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture means GDRCopy could not pin the GPU virtual address into the CPU-visible BAR1 aperture. The allocation is not eligible for peer-direct mapping, BAR1 space is exhausted, or the kernel module and driver disagree. Preserve the first preceding error, then run the targeted control below.

Communication#gdr-fabric#gdrcopy#pin#buffer#bar1#aperture

What this failure is

The literal signature is "gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture". It is a communication failure associated with GPUDirect RDMA, RoCE, GDRCopy, and NUMA topology. The line identifies the failing operation or subsystem, while the surrounding evidence decides whether it is the initiating fault or a downstream symptom.

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Why it happens (the mechanism)

GDRCopy could not pin the GPU virtual address into the CPU-visible BAR1 aperture. The allocation is not eligible for peer-direct mapping, BAR1 space is exhausted, or the kernel module and driver disagree. The failure becomes visible at this call site because the operation first requires the missing resource, valid state, healthy peer, or correct result. Earlier log lines and a known-good control carry more causal value than the final wrapper exception.

What you'll observe

  • The workload stops or loses forward progress after emitting "gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture".
  • A retry on the same configuration reproduces the failure because the causal state has not changed.
  • The outer framework exception can hide the rank, node, allocation, or dependency that failed first.
  • Increasing timeouts or reducing workload size can suppress the symptom without correcting the cause.

Common symptoms and what they mean

SymptomWhy it happens
gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 apertureGDRCopy could not pin the GPU virtual address into the CPU-visible BAR1 aperture. The allocation is not eligible for peer-direct mapping, BAR1 space is exhausted, or the kernel module and driver disagree.
The same operation fails at a consistent stage of GPUDirect RDMA, RoCE, GDRCopy, and NUMA topology.The decisive evidence is the first log line that precedes "gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture" and differs from a healthy run.
The first related warning appears before the final exception and names the causal subsystem.A nearby failure remains a competing hypothesis until a control separates configuration, capacity, transport, and hardware causes.
A known-good control changes one variable and either reproduces or clears the failure.GDRCopy could not pin the GPU virtual address into the CPU-visible BAR1 aperture. The allocation is not eligible for peer-direct mapping, BAR1 space is exhausted, or the kernel module and driver disagree.

Which systems are affected

  • GPUDirect RDMA, RoCE, GDRCopy, and NUMA topology
  • production-shaped multi-accelerator workloads
  • containerized and bare-metal deployments of the same stack

How to confirm this is the problem

Apply the following checklist to a small reproduction: each box below is a positive signal that you are looking at this exact failure rather than a sibling in the same taxonomy.

  • Find the first occurrence of "gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture" and preserve at least 100 lines before it.
  • Identify which rank, node, device, or process emitted the first related warning.
  • inspect nvidia-smi -q BAR1 usage and confirm the pointer came from a supported CUDA device allocation on the same GPU. Free stale mappings and retry from a clean process.
  • Repeat the same input after the targeted change and require the signature to disappear.
  • Resume from job start after BAR1 mapping passes the control test only after the control passes.

Example training logs (fingerprint)

training.log (synthetic fingerprint)
gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture

Timestamps and exact values vary across runs, but the pattern. An info-level start, an early WARN, an ERROR carrying the symptom. Is the actual fingerprint you should alert on. The Denpex platform flags this combination automatically.

The fix and the prevention pattern

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Why the recommended fix works

confirm the gdrdrv module is loaded and run the GDRCopy copybw test on the same GPU before retrying the application. This changes the condition in the causal diagnosis instead of hiding the outer exception. The repeated control proves ownership before recovery from job start after BAR1 mapping passes the control test.

Code examples

snippet
# Preserve evidence before restarting
NCCL_DEBUG=INFO NCCL_DEBUG_SUBSYS=INIT,NET,COLL torchrun train.py
ibstat
ethtool -S <interface>

# Find the exact signature in the complete log
rg -n -F -- "gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture" <log-file>

Adapt the snippet to your framework. The same pattern holds for PyTorch Lightning, Hugging Face Trainer, DeepSpeed, Megatron-LM, and vLLM training wrappers. Where the wrapper exposes a config flag (for examplelr_scheduler_type in Trainer), prefer the flag over the imperative API to keep the schedule declarative and reproducible.

Best practices by model family

Model / StackRecommendationNotes
First responsePreserve the first failureKeep the context before "gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture" so aggregation does not erase causality.
ConfirmationChange one variableUse a known-good node, rank, input, or configuration as the control.
RecoveryResume from job start after BAR1 mapping passes the control testResume only after the literal signature no longer appears in the same control.

With the fix vs without the fix

DimensionWith the fixWithout the fix
EvidenceFirst preceding error and one controlled comparisonOnly the final aggregated exception
Fixconfirm the gdrdrv module is loaded and run the GDRCopy copybw test on the same GPU before retrying the application.Retrying the unchanged workload
Exit criterion"gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture" is absent in the repeated controlThe job happened to run once

Real engineering notes

Treat "gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture" as a search key and an investigation checkpoint, not as proof of every cause associated with the phrase. The high-value evidence is what changed immediately before it and whether the failure follows the workload, node, or configuration.

Visual fingerprint

Decision path for gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture
literal error captured
        |
        v
find first preceding failure
        |
        v
run one known-good control
        |
        +-- follows workload --> inspect input or configuration
        +-- follows node ------> inspect hardware or platform
        +-- disappears --------> validate the targeted fix
The control separates workload, configuration, and node ownership before recovery from job start after BAR1 mapping passes the control test.

Diagnose this failure in VS Code

Select the traceback or open the failed terminal, then run Denpex locally to see the initiating rank, collateral failures, exact fix, and verification command without uploading the log.

Install the free VS Code extension

Root cause

  • GDRCopy could not pin the GPU virtual address into the CPU-visible BAR1 aperture. The allocation is not eligible for peer-direct mapping, BAR1 space is exhausted, or the kernel module and driver disagree.
  • The decisive evidence is the first log line that precedes "gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture" and differs from a healthy run.
  • A nearby failure remains a competing hypothesis until a control separates configuration, capacity, transport, and hardware causes.

The fix and how to prevent it

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Frequently asked questions

Twelve targeted questions that engineers and on-call staff most commonly ask about this failure.

What does "gdrcopy gdr_pin_buffer failed GPU virtual address is not mapped to BAR1 aperture" mean?
GDRCopy could not pin the GPU virtual address into the CPU-visible BAR1 aperture. The allocation is not eligible for peer-direct mapping, BAR1 space is exhausted, or the kernel module and driver disagree.
Is this line always the root cause?
No. It can be the direct failure or the point where an earlier failure becomes visible. The first preceding error and a controlled comparison decide which.
What should I collect before restarting?
Collect complete log context, the emitting rank or node, component versions, resolved configuration, and the diagnostic output shown above.
What is the fastest confirmation?
inspect nvidia-smi -q BAR1 usage and confirm the pointer came from a supported CUDA device allocation on the same GPU. Free stale mappings and retry from a clean process.
How do I prevent it from recurring?
qualify the NVIDIA driver, CUDA toolkit, and GDRCopy module as one versioned stack, and run copybw during node admission.

Don't just read the fix, diagnose your run

The encyclopedia tells you what went wrong. Denpex tells you what went wrong in YOUR training run. With your logs, your config, and your stack.