NV_ERR_NO_MEMORY (0x51) at first CUDA context on 580.178.04 (RTX PRO 6000 Blackwell): LEVEL_ERROR on a successful 4K fallback?
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Avaliação
- Dificuldade
- 4/5
- Tempo estimado
- 3-5 dias
- Facilidade para iniciantes
- 38/100
- Tipo de issue
- Bug
- Clareza
- Razoavelmente clara
- Status de atividade
- Ativa
- Stack de tecnologia
- c, linux
- Domínio
- operating-systems
Direção de pesquisa
Start by checking the tagged 580.178.04 source paths named in the report: uvm_rm_mem.c, kern_gmmu.c, mem_desc.c, and system_mem.c. Trace the 2 MiB allocation request and fallback to 4 KiB, then compare the logged failure with the successful context creation described here. Done means confirming whether the error-level log is expected and whether fallback failure reaches a visible context creation error; the report does not identify a test.
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Descrição
Follow-up to #848 (closed with "open a new issue"). On 580.178.04 we see NV_ERR_NO_MEMORY at the first CUDA context of a process, apparently followed by a successful fallback. Our question is whether the LEVEL_ERROR print on a successful fallback can be demoted, and whether UVM could avoid asking for 2 MiB contiguous sysmem at GPU registration.
Environment
- GPU: NVIDIA RTX PRO 6000 Blackwell (97887 MiB), one GPU per host, no MIG
- Driver: 580.178.04, open kernel module
- Kernel: 7.0.0-38-generic, x86_64
- Persistence mode enabled (
nvidia-persistencedactive),memlockunlimited - THP:
enabled=madvise,defrag=madvise - CUDA workloads run in containers with no cgroup memory limit
What we see
About 13-17 times per 24 h, at the first CUDA context creation of a container:
NVRM: Out of memory [NV_ERR_NO_MEMORY] (0x51)from_memdescAllocInternal(mem_desc.c)- the same status from
sysmemConstruct(system_mem.c:356) - the same status from
nvGpuOpsAllocPhysical - on some events also
Allocation failed with big page size, retrying with default page sizefrom_kgmmuClientShadowFaultBufferPagesAllocate
No Xid is logged and the GPU is not reset. In the cases we can join to the job outcome the job finishes normally with exit code 0.
Host memory is not exhausted at those moments (MemAvailable 79-90 GiB). It does look fragmented: /proc/vmstat shows compact_fail about 15.7 M vs compact_success about 1.7 M, and order-9/10 free blocks in /proc/buddyinfo drop to 0 at times. In our data the events cluster when a large memory-heavy process has just run (3 of 51 container starts during such runs, 0 of 59 outside them).
What we read in the source (tag 580.178.04)
This is our reading, please correct it if wrong.
uvm_rm_mem_alloc(uvm_rm_mem.c) asks for a 2M page size when size >= 2 MiB, else 64K, and retries with the default page size onNV_ERR_NO_MEMORY. That retry message goes throughUVM_ERR_PRINT, so it is silent in release builds.- The request reaches
nvGpuOpsAllocPhysicaland thensysmemConstruct, which fails at LEVEL_ERROR for an explicit page size. This is the line that shows up in dmesg. _kgmmuClientShadowFaultBufferPagesAllocate(kern_gmmu.c) tries RM_PAGE_SIZE_HUGE and retries at 4K, with aBug 5042223TODO.- uvm_rm_mem.c and kern_gmmu.c are identical between 580.178.04 and 580.196.07.
In #848 (2025-12-16) a collaborator wrote that a similar issue "was fixed in 580.xx ... where in cases of fragmented system memory, it would retry with smaller page sizes". If that retry is the intended fix, then the message looks like a normal fallback to us, but it is logged at error level, and health tooling that watches kernel logs cannot tell it apart from a real failure.
Questions
- Is the LEVEL_ERROR print on a successful fallback expected, and could it be demoted (or the fallback be made quiet) in a 580 branch release?
- Can UVM avoid requesting 2 MiB physically contiguous sysmem when a GPU is registered, since the 4 KiB path works?
- Is the
Bug 5042223TODO the tracker for this, and is there a driver version that changes the behaviour? - If the 4 KiB fallback also fails, does context creation fail with a visible error? We have not been able to provoke that.
We can provide /proc/buddyinfo, /proc/vmstat and nvidia-bug-report.sh output if useful.
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