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Summary by CodeRabbit

  • New Features

    • Added comprehensive test configurations for disaggregated performance sanity testing across multiple model variants and hardware platforms.
    • Introduced new performance tuning options and configuration parameters.
  • Tests

    • Expanded integration test coverage with multiple disaggregated performance scenarios.
    • Updated test infrastructure to support additional model and hardware combinations.

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Signed-off-by: Chenfei Zhang <chenfeiz@nvidia.com>
@chenfeiz0326 chenfeiz0326 requested review from a team as code owners January 22, 2026 06:17
@chenfeiz0326 chenfeiz0326 requested a review from niukuo January 22, 2026 06:17
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/bot run --disable-fail-fast --stage-list "GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-1,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-2,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-3,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-4"

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PR_Github #33100 [ run ] triggered by Bot. Commit: ea394fa

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📝 Walkthrough

Walkthrough

Introduces a programmatic helper function buildStageConfigs() to generate test stage configurations, appends multiple PerfSanity post-merge disaggregated test configurations for various GPU/model combinations, adds 30+ new disaggregated benchmark YAML configurations, updates test framework with new model mappings and configuration fields, and adds/removes multi-node test list entries.

Changes

Cohort / File(s) Summary
Groovy Test Stage Generation
jenkins/L0_Test.groovy
Introduces buildStageConfigs() helper function to programmatically generate multiple test stage configurations; uses it to append new PerfSanity post-merge disaggregated test configurations to existing test config maps (x86SlurmTestConfigs, multiNodesSBSAConfigs)
B200 Disaggregated Benchmark Configs
tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/b200-deepseek-r1-fp4*.yaml (6 files)
Adds new YAML benchmark configurations for B200 GPU setups with DeepSeek R1 FP4 model across various context/generation/batching parameter combinations; each defines metadata, slurm scheduling, benchmark mode, hardware specs, environment, profiling, accuracy, and detailed worker configurations
GB200 DeepSeek Disaggregated Benchmark Configs
tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/gb200-deepseek-r1-fp4*.yaml (7 files)
Adds YAML benchmark configurations for GB200 GPUs with DeepSeek R1 FP4 model; includes 128k8k and 8k1k variants with different tensor/pipeline parallelism and batch size configurations
GB200 DeepSeek v32 Disaggregated Benchmark Configs
tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/gb200-deepseek-v32-fp4*.yaml (7 files)
Adds YAML configurations for GB200 with DeepSeek v32 FP4 model; covers varying sequence lengths (1k1k, 8k1k, 32k4k) and different expert/tensor parallelism settings
GB200 Kimi Disaggregated Benchmark Configs
tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/gb200-kimi-k2-thinking-fp4*.yaml (5 files)
Adds YAML configurations for GB200 with Kimi K2 Thinking FP4 model; specifies various deployment scenarios with different tensor parallelism and batch configurations
GB200 Qwen Disaggregated Benchmark Configs
tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/gb200-qwen3-235b-fp4*.yaml (2 files)
Adds YAML configurations for GB200 with Qwen 235B FP4 model; includes endpoint and tensor parallelism variants
Test Framework Updates
tests/integration/defs/perf/test_perf_sanity.py
Adds model path mapping for qwen3_235b_a22b_fp4; introduces print_iter_log and eagle3_one_model configuration fields; updates disagg config directory path from perf to perf-sanity; propagates new fields through to_db_data() and generate_extra_llm_api_config() methods
Multi-node Test List Configurations
tests/integration/test_lists/test-db/l0_dgx_b200_multi_nodes_disagg_perf_sanity_*.yml
tests/integration/test_lists/test-db/l0_gb200_multi_nodes_disagg_perf_sanity_*.yml
Adds 9 new test list entries defining GPU resource conditions (system_gpu_count, GPU wildcard filters) and performance sanity test invocations for multi-node disaggregated scenarios; deletes 3 obsolete test list entries (3_nodes, 6_nodes, 8_nodes variants)

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~30 minutes

Possibly related PRs

Suggested reviewers

  • chzblych
  • reasonsolo
  • pcastonguay
  • qiaoxj07
🚥 Pre-merge checks | ✅ 1 | ❌ 2
❌ Failed checks (2 warnings)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 66.67% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
Description check ⚠️ Warning The PR description is almost entirely the template boilerplate with no actual content filled in—all key sections (Description, Test Coverage) are empty. Fill in the Description section explaining what disagg perf tests are being added and why. Provide specific test coverage details in the Test Coverage section.
✅ Passed checks (1 passed)
Check name Status Explanation
Title check ✅ Passed The PR title clearly and concisely indicates the main change: adding disaggregated performance tests. It is specific and directly related to the changeset.

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

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Actionable comments posted: 9

🤖 Fix all issues with AI agents
In `@jenkins/L0_Test.groovy`:
- Around line 3150-3161: The values tuple constructed in buildStageConfigs does
not match the function parameter order: it currently builds values as [platform,
testlist, k, testCount, gpuCount, nodeCount] while the signature is (stageName,
platform, testlist, testCount, nodeCount, gpuCount, ...); fix by reordering the
values array to [platform, testlist, k, testCount, nodeCount, gpuCount] so
positional unpacking later matches the signature (alter values in the loop where
configs["${stageName}-${k}"] is assigned), or alternatively add a clear comment
next to buildStageConfigs and the values assignment documenting an intentional
reversal if you must keep the current order.

In
`@tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/b200-deepseek-r1-fp4_8k1k_ctx1_dep4_bs2_gen1_dep8_bs192_eplb0_mtp1_ccb-UCX.yaml`:
- Around line 11-37: This config contains raw placeholder tokens (<partition>,
<account>, <dataset_file>, <container_mount>, <container_image>, <model_path>,
<full_path_to_work_dir>) which must be substituted before CI; locate the
template rendering path that processes perf configs (search the
harness/template/render functions or scripts that load this YAML) and either (a)
ensure those placeholders are passed into the renderer and replaced at submit
time or (b) replace them in this YAML with concrete values or supported template
variables used by the harness; validate by running the provided grep checks (rg
for the placeholder strings and for render/template/substitute keywords in
.py/.sh) and update the renderer or this file accordingly so no raw <...> tokens
remain at job submission.

In
`@tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/b200-deepseek-r1-fp4_8k1k_ctx1_dep4_bs2_gen1_dep8_bs32_eplb0_mtp1_ccb-UCX.yaml`:
- Around line 38-39: The multiline value for the YAML key worker_env_var is
invalid because the second line (TRTLLM_ENABLE_PDL=1 ENROOT_ALLOW_DEV=yes) is
indented as a continuation without a block scalar; fix by converting
worker_env_var to a proper YAML multiline scalar (e.g., use a pipe '|' after
worker_env_var) or join the env vars on a single line separated by spaces so the
sequence "TLLM_LOG_LEVEL=INFO TRTLLM_SERVER_DISABLE_GC=1
TRTLLM_WORKER_DISABLE_GC=1 TRTLLM_ENABLE_PDL=1 ENROOT_ALLOW_DEV=yes" is a valid
scalar value for worker_env_var.

In
`@tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/b200-deepseek-r1-fp4_8k1k_ctx1_dep4_bs2_gen1_tep8_bs1_eplb0_mtp3_ccb-UCX.yaml`:
- Around line 7-10: The YAML defines script_file twice (in the metadata block
and inside the slurm mapping); remove the redundant key to avoid
divergence—prefer keeping script_file under the slurm mapping (the canonical job
config), so delete the metadata-level script_file entry and leave
slurm.script_file intact; ensure any code that reads metadata for script_file is
updated to read slurm.script_file if needed and run a quick lint to confirm no
duplicate keys remain.

In
`@tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/gb200-deepseek-v32-fp4_8k1k_ctx1_dep4_bs2_gen1_tep8_bs1_eplb0_mtp3_ccb-UCX.yaml`:
- Around line 7-10: Remove the duplicate YAML key by keeping a single source of
truth for script_file: delete either the top-level metadata/script_file or the
slurm/script_file entry so only one script_file remains; update any consumers to
reference the retained location (keys: script_file, metadata, slurm) to avoid
ambiguity and maintenance drift.

In
`@tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/gb200-kimi-k2-thinking-fp4_8k1k_ctx1_dep4_bs2_gen1_tep8_bs4_eplb0_mtp3_ccb-UCX.yaml`:
- Around line 71-76: The YAML sets eagle3_one_model under speculative_config as
the quoted string 'true' which YAML treats as a string; change it to an unquoted
boolean true so code reading eagle3_one_model receives a boolean. Locate the
speculative_config block (identifier &id001) and replace the value for
eagle3_one_model from the quoted 'true' to the literal boolean true, keeping the
rest of the keys (decoding_type, max_draft_len, speculative_model_dir,
trust_remote_code) unchanged.

In
`@tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/gb200-qwen3-235b-fp4_8k1k_ctx1_tp1_bs4_gen1_dep8_bs128_eplb0_mtp0_ccb-UCX.yaml`:
- Around line 15-55: The gen parallelism (worker_config.gen.tensor_parallel_size
and worker_config.gen.moe_expert_parallel_size) exceeds the allocated GPUs
(extra_args --gres=gpu:4 and hardware.gpus_per_node: 4); update either to
request 8 GPUs by changing extra_args and hardware.gpus_per_node to 8, or reduce
tensor_parallel_size and moe_expert_parallel_size to values that fit within 4
GPUs (e.g., 4 or less) so the gen server's parallelism matches the allocated
hardware.

In
`@tests/integration/test_lists/test-db/l0_gb200_multi_nodes_disagg_perf_sanity_2ctx_2gen.yml`:
- Around line 1-16: The YAML filename
l0_gb200_multi_nodes_disagg_perf_sanity_2ctx_2gen.yml contradicts the embedded
test id which uses _ctx1_..._gen1_...
(perf/test_perf_sanity.py::test_e2e[disagg_upload-gb200-deepseek-r1-fp4_128k8k_ctx1_pp8_bs1_gen1_...]);
either rename the file to l0_gb200_multi_nodes_disagg_perf_sanity_1ctx_1gen.yml
to match the existing test, or update the test entry to reference a
2-context/2-generator configuration (replace _ctx1_ with _ctx2_ and _gen1_ with
_gen2_ in the test id) so filename and test config are consistent.

In
`@tests/integration/test_lists/test-db/l0_gb200_multi_nodes_disagg_perf_sanity_2ctx_8gen.yml`:
- Around line 1-16: The YAML filename
l0_gb200_multi_nodes_disagg_perf_sanity_2ctx_8gen.yml does not match the test
content (the only test uses _ctx1_..._gen1_), so either rename the file to
reflect the actual parameters (e.g.,
l0_gb200_multi_nodes_disagg_perf_sanity_1ctx_1gen.yml) or update the test list
to include the missing 2ctx/8gen variants; locate the test entry with the
identifier
perf/test_perf_sanity.py::test_e2e[disagg_upload-gb200-deepseek-r1-fp4_128k8k_ctx1_pp8_bs1_gen1_dep32_bs2_eplb0_mtp3_ccb-UCX]
and either duplicate/modify it to create the ctx2/gen8 cases or rename the file
accordingly so filename and contained test parameters match.
🧹 Nitpick comments (3)
tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/b200-deepseek-r1-fp4_8k1k_ctx1_dep4_bs2_gen1_tep8_bs1_eplb0_mtp3_ccb-UCX.yaml (1)

71-72: Consider using a descriptive YAML anchor name.

The anchor &id001 is functional but auto-generated in style. A more descriptive name improves readability and maintainability.

Suggested improvement
-    speculative_config: &id001
+    speculative_config: &speculative_mtp_config
       decoding_type: MTP
       num_nextn_predict_layers: 3

And update the reference:

-    speculative_config: *id001
+    speculative_config: *speculative_mtp_config

Also applies to: 97-97

tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/gb200-deepseek-v32-fp4_8k1k_ctx1_dep4_bs2_gen1_tep8_bs1_eplb0_mtp3_ccb-UCX.yaml (1)

71-74: Consider using a descriptive YAML anchor name.

The anchor &id001 is generic. Using a semantic name like &speculative_config_mtp3 would improve readability and make the reference at line 104 self-documenting.

-    speculative_config: &id001
+    speculative_config: &speculative_config_mtp3
       decoding_type: MTP
       num_nextn_predict_layers: 3

And at line 104:

-    speculative_config: *id001
+    speculative_config: *speculative_config_mtp3
tests/integration/defs/perf/disagg/test_configs/disagg/perf-sanity/gb200-deepseek-r1-fp4_1k1k_ctx1_dep4_bs16_gen1_dep32_bs32_eplb0_mtp3_ccb-UCX.yaml (1)

7-10: Redundant script_file declaration.

script_file is defined in both metadata (line 7) and slurm (line 10) sections with the same value. Consider removing the duplicate to maintain a single source of truth.

♻️ Suggested fix
 metadata:
   model_name: deepseek_r1_0528_fp4_v2
   precision: fp4
   model_dir_name: DeepSeek-R1-0528-FP4-v2
   supported_gpus:
   - GB200
-  script_file: disaggr_torch.slurm
   benchmark_type: 1k1k
 slurm:
   script_file: disaggr_torch.slurm

Signed-off-by: Chenfei Zhang <chenfeiz@nvidia.com>
@chenfeiz0326 chenfeiz0326 changed the title [TRTLLM-8263][feat] Add Disagg Perf Tests [TRTLLM-8263][feat] Add Disagg Perf Tests Jan 22, 2026
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PR_Github #33100 [ run ] completed with state FAILURE. Commit: ea394fa
/LLM/main/L0_MergeRequest_PR pipeline #25585 (Partly Tested) completed with status: 'FAILURE'

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  • Please check the failed tests and fix your PR
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  • Once fixed, request an NVIDIA team member to trigger CI again

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/bot run --disable-fail-fast --stage-list "GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-1,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-2,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-3,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-4"

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PR_Github #33113 [ run ] triggered by Bot. Commit: 9003311

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PR_Github #33113 [ run ] completed with state FAILURE. Commit: 9003311
/LLM/main/L0_MergeRequest_PR pipeline #25594 (Partly Tested) completed with status: 'FAILURE'

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Signed-off-by: Chenfei Zhang <chenfeiz@nvidia.com>
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/bot run --disable-fail-fast --stage-list "GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-1,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-2,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-3,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-1,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-2,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-3,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-4,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-5,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-6,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-7,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-8"

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PR_Github #33140 [ run ] triggered by Bot. Commit: dbfa6f6

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PR_Github #33140 [ run ] completed with state FAILURE. Commit: dbfa6f6
/LLM/main/L0_MergeRequest_PR pipeline #25612 (Partly Tested) completed with status: 'FAILURE'

⚠️ Action Required:

  • Please check the failed tests and fix your PR
  • If you cannot view the failures, ask the CI triggerer to share details
  • Once fixed, request an NVIDIA team member to trigger CI again

Signed-off-by: Chenfei Zhang <chenfeiz@nvidia.com>
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/bot run --disable-fail-fast --stage-list "GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-1,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-2,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-3,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-1,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-2,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-3,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-4,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-5,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-6,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-7,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-8"

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PR_Github #33185 [ run ] triggered by Bot. Commit: 4b1f62c

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PR_Github #33185 [ run ] completed with state FAILURE. Commit: 4b1f62c
/LLM/main/L0_MergeRequest_PR pipeline #25644 (Partly Tested) completed with status: 'FAILURE'

⚠️ Action Required:

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  • If you cannot view the failures, ask the CI triggerer to share details
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Signed-off-by: Chenfei Zhang <chenfeiz@nvidia.com>
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/bot run --disable-fail-fast --stage-list "GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-1,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-2,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-3,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-1,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-2,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-3,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-4,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-5,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-6,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-7,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-8"

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PR_Github #33255 [ run ] triggered by Bot. Commit: bd18f30

@tensorrt-cicd
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PR_Github #33255 [ run ] completed with state ABORTED. Commit: bd18f30
LLM/main/L0_MergeRequest_PR #25689 (Blue Ocean) completed with status: ABORTED

@ZhanruiSunCh
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/bot run --disable-fail-fast --stage-list "GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-1,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-2,GB200-8_GPUs-2_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-1_GEN-Post-Merge-3,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-1,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-2,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-3,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-4,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-5,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-6,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-7,GB200-12_GPUs-3_Nodes-PyTorch-PerfSanity-Disagg-1_CTX-2_GEN-Post-Merge-8"

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PR_Github #33286 [ run ] triggered by Bot. Commit: bd18f30

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3 participants