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…erf cases Online EPLB stages a host copy of every MoE layer's expert weights in /dev/shm on each node. For Kimi-K2.5 NVFP4 that is about 532 GiB, while the container's default /dev/shm is half of host RAM (480 GiB on GB200/GB300), so the GEN workers die with SIGBUS during weight loading. When any worker config in a perf-sanity YAML enables online EPLB, both the L0 and the local perf submit scripts now append tmpfs:/dev/shm:size=640G to --container-mounts, unless /dev/shm is already mounted. Signed-off-by: xxi <xxi@nvidia.com>
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WalkthroughThe performance submit utilities detect online EPLB settings in worker and server configurations. When enabled, the local and CI submit paths add a 640G ChangesOnline EPLB mount handling
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~20 minutes Change: Bug fix Sequence Diagram(s)sequenceDiagram
participant SubmitPath
participant add_eplb_shm_mount
participant uses_online_eplb
participant YAMLConfig
participant srun
SubmitPath->>add_eplb_shm_mount: Pass mounts, config, and llm_src
add_eplb_shm_mount->>uses_online_eplb: Check config for online EPLB
uses_online_eplb->>YAMLConfig: Load referenced settings
uses_online_eplb-->>add_eplb_shm_mount: Return EPLB status
add_eplb_shm_mount-->>SubmitPath: Return updated or unchanged mounts
SubmitPath->>srun: Pass container mounts in launch arguments
Merge Risk: ⚪ Minimal · up to
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| Check name | Status | Explanation | Resolution |
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| Docstring Coverage |  |
Docstring coverage is 32.14% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 28 functions across 4 files. | Write docstrings for the functions missing them to satisfy the coverage threshold. |
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Check name Status Explanation Description check The description explains the root cause, implementation, verification results, test coverage, and checklist items. It follows the required template and provides sufficient context for review. Title check The title follows the required ticket and type format and clearly states the primary change: mounting a 640G /dev/shm for online-EPLB performance cases. Linked Issues check Check skipped because no linked issues were found for this pull request. Out of Scope Changes check Check skipped because no linked issues were found for this pull request.
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Inline comments:
Review comments at @jenkins/scripts/perf/benchmark_utils.py:
- Line 175: Update the existing-mount test in the function containing this
`entries` check to recognize a source-only `/dev/shm` entry as targeting
`/dev/shm`, so it does not append a duplicate mount; preserve the existing
destination-based check.
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jenkins/scripts/perf/benchmark_utils.pyjenkins/scripts/perf/local/submit.pyjenkins/scripts/perf/submit.pytests/unittest/scripts/test_perf_submit.py
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…fig_path and source-only /dev/shm mounts uses_online_eplb now checks the config each worker is launched with: the extra_llm_api_config_path file is the base and the inline fields replace its top-level keys, matching ServerConfig.merged_llm_api_config_data(). A file that is not a YAML mapping raises ValueError at submit time. add_eplb_shm_mount resolves the container target of each --container-mounts entry the way pyxis does, so a source-only /dev/shm entry counts as an existing /dev/shm mount instead of getting a second tmpfs mount on the same target. Annotate the touched helpers and add tests for both cases. Signed-off-by: xxi <xxi@nvidia.com>
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….3: Mount a 640G /dev/shm for online-EPLB perf cases Forward-port of release/1.3 PR NVIDIA#20531 (release/1.3 commit 2401956) to main. Adapted to main: the new tests reuse the submit-module fixtures and the _fake_sinfo helper that main already defines in test_perf_submit.py. Signed-off-by: xxi <xxi@nvidia.com> Signed-off-by: Simeng Liu <simengl@nvidia.com>
Dev Engineer Review
extra_llm_api_config_pathas a base and applies inline top-level overrides.tmpfs:/dev/shm:size=640Gwhen online EPLB is enabled and no mount targets/dev/shm. Source-only/dev/shmmounts count as existing mounts.ValueError.QA Engineer Review
tests/unittest/scripts/test_perf_submit.py. Tests cover EPLB detection, config-file loading and overrides, invalid YAML mappings, existing mount handling, and generated CI launch arguments.test-db/or manual-QA list membership.Per-File QA Perspective
jenkins/scripts/perf/benchmark_utils.py: Verify inline and file-based configuration detection, top-level override behavior, and handling of existing/dev/shmmounts. Missing or malformed YAML files can cause errors.jenkins/scripts/perf/submit.py: Verify CI launch arguments add the 640G mount only when online EPLB is enabled and no/dev/shmmount exists.jenkins/scripts/perf/local/submit.py: Verifygenerate_srun_argsreceives the loaded configuration and applies the mount logic for online EPLB.tests/unittest/scripts/test_perf_submit.py: Tests detection, error handling, mount behavior, and CI launch output. It is a unit-test file, not an integration test-list entry.Description
Fixes https://nvbugs/6384589: in the Kimi-K2.5 NVFP4
eplb416disaggregated perf cases (qa/llm_perf_multinode.txt, GB200 and GB300), every GEN worker dies withSIGBUS(BUS_ADRERR, "Non-existent physical address") at ~90% of weight loading. It had been triaged as a node hardware fault. The real cause is the size of/dev/shmin the test container.Root cause. Online EPLB (
moe_config.load_balancer.layer_updates_per_iter > 0) keeps a host copy of every MoE layer's expert weights in POSIX shared memory, once per node. For Kimi-K2.5 NVFP4 that is 24,772,864 B x 384 experts x 60 MoE layers = 531.6 GiB per node. The nodes have enough RAM (Slurm RealMemory 942,080 MB on GB200 and GB300), but/dev/shminside the perf container is the default tmpfs, half of RAM = 480 GiB. Only 54 of the 60 layers fit; the expert copy into the next segment touches a page the tmpfs cannot allocate, and the kernel raisesSIGBUS. Other online-EPLB models in the perf lists fit under 480 GiB (GLM-5 NVFP4 379.7 GiB, DeepSeek-V3.2 / R1 FP4 304.5 GiB), so only the K2.5 cases fail.How it was introduced. The retired QA harness (
tests/integration/defs/perf/disagg/) mountedtmpfs:/dev/shm:size=640Gfor Kimi-K2 cases (ededeec, #9686). The K2.5eplb416cases were created with online EPLB in the current harness by #14960 (835fd61). The current harness (test_perf_sanity.py+jenkins/scripts/perf/{submit.py,local/submit.py}) has never sized/dev/shm, and #15290 removed the old harness the next day.Change. When any worker config in a perf-sanity YAML enables online EPLB (inline
load_balanceror aload_balancerYAML file withlayer_updates_per_iter > 0), the L0 (jenkins/scripts/perf/submit.py) and local/QA (jenkins/scripts/perf/local/submit.py) launchers appendtmpfs:/dev/shm:size=640Gto--container-mounts, unless the pipeline already mounts/dev/shm. The detection and mount logic lives injenkins/scripts/perf/benchmark_utils.py, which both launchers already import. No product code changes.This replaces #20526, which also changed
moe_load_balancer.py; that part is not needed and has been dropped.Verification (1.3.0rc29 image, unchanged product code, CI Kimi-K2.5-NVFP4 checkpoint, the failing GEN config with TP/EP 32 -> 4 on one node, which keeps the per-node shared-memory demand unchanged):
/dev/shmSIGBUSat 88% of weight load on all 4 ranks (bug signature)tmpfs:/dev/shm:size=640G, the value this change'slocal/submit.pyemits fordisagg-gen_only-gb300_kimi-k25-..._eplb416_...moe_load_balancer finalize model doneon all ranks,/health200, noSIGBUSSIGBUSafter layer 54/60; 640G: all 60 layers writtenA full model start on GB200 is still queued.
Test Coverage
tests/unittest/scripts/test_perf_submit.py(CPU, collected byl0_cpu.ymlunittest/scripts):server_configs) configs, plus the checked-in K2.5eplb416YAML (online) and a DeepSeek-V4 static-EPLB YAML (not online);/dev/shmis already mounted;submit.pyfor the K2.5 case containtmpfs:/dev/shm:size=640G.Local run: 31 passed.
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Please review the following before submitting your PR:
PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.
PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
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