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chore: data integration for GLM-5.3-Flash Ops (GB300, GB200, B300, H200, H100) - #538
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Package the GLM-5.3-Flash operator tables (gemm, moe, kda, mhc, custom-allreduce comm, glm53_attention, plus quantize on GB300) for gb300, gb200, b300_sxm, h200_sxm and h100_sxm under systems/data/<system>/<family>/<backend>/<version>/ with their collection_meta.yaml. System YAMLs and comm/nccl tables are unchanged. As the newest data-backed versions, vLLM 0.31.0 and SGLang 0.5.20 become the derived fleet next slot (query_versions.yaml comments refreshed). vLLM 0.27.1 and SGLang 0.5.17 are no longer queryable versions, so tests that pin those data coordinates opt into the existing unlisted-version fixture escape, and the replay round-trip test moves to the next alias. The GLM contract doc now describes the packaged tables; an external systems root remains optional. Signed-off-by: Harry Lee <harrli@nvidia.com>
The fleet SGLang next slot is now 0.5.20, so the Kimi-K3 B300 next cases read the B300 0.5.20 gemm_perf and custom_allreduce_perf tables. Refresh only the failing static and disaggregated records with pin_goldens.py and record the deltas in the parity README. Signed-off-by: Harry Lee <harrli@nvidia.com>
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| Check name | Status | Explanation | Resolution |
|---|---|---|---|
| Description check |  |
The description is detailed and covers the change, review map, compatibility impact, evidence, provenance, risks, and tracking. It omits the template fields for Fast CI, Full CI, CodeRabbit reviewed c… | Add the missing template fields under Evidence, including Fast CI, Full CI, CodeRabbit reviewed commit, and Codex reviewed commit. Record explicit values or state that a field is not applicable. |
| Cross-Layer Contract | |
The cross-layer contract remains incomplete. The PR documents packaged GLM tables and explicit/next selection for five systems at docs/glm53flash-native-contract.md:138-177, and the resolver now d… |
Add a repository-root integration test for GLM-5.3-Flash that uses packaged data with both vLLM and SGLang, explicit 0.31.0/0.5.20 and next, one Hopper system and one Blackwell system, enable_shared_layer=False, strict SILICON readiness… |
| Review Evidence |  |
The visible PR description is truncated before its validation section. The available text does not show the required command/result list, the local/fake-runner/parity/production distinctions, or wheth… | Provide the complete PR description, including every validation command and result and all CI evidence claims. Then verify that negative or boundary checks are included, evidence types are explicitly distinguished, and no `python/aisimulate… |
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Check name Status Explanation Title check The title accurately identifies the GLM-5.3-Flash Ops data integration and affected systems. It does not state the related fleet nextversion behavior change, but it remains sufficiently specific an…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. Modeling And Data Evidence The PR supplies both provenance and reproducible before/after evidence. crates/core/parity_tests/perfmodel/README.md:100-125explains the table-level attribution, unchanged/error cases, and the refr…Compatibility Boundaries No compatibility-boundary failure is introduced. The PR adds 64 Parquet files and 62 metadata files under the existing systems tree, and the unchanged maturin include rules package `systems/**/*.parqu… Full details: Title check
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Explanation
The title accurately identifies the GLM-5.3-Flash Ops data integration and affected systems. It does not state the related fleet
nextversion behavior change, but it remains sufficiently specific and directly related to the changeset.
Full details: Modeling And Data Evidence
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Explanation
The PR supplies both provenance and reproducible before/after evidence.
crates/core/parity_tests/perfmodel/README.md:100-125explains the table-level attribution, unchanged/error cases, and the refreshed Kimi-K3 metrics. The before/after table matches the changedengine_step.jsonvalues.README.md:135-151gives a family-isolation reproduction procedure and commands. The 62 added collection manifests record runtime identity, collection status, row counts, hashes, and collector or plan references; the GLM attention metadata also records validation ranges, partial results, and failed-set classifications. The backend-facts registry documents its machine check atpython/aisimulate/collector/op_backend_facts.yaml:16-22. This is not an unexplained golden refresh or binary-only validation.
Full details: Compatibility Boundaries
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Explanation
No compatibility-boundary failure is introduced. The PR adds 64 Parquet files and 62 metadata files under the existing systems tree, and the unchanged maturin include rules package
systems/**/*.parquetandsystems/data/**/*.yamlin the single wheel. The release builder still permits exactly oneaisimulatewheel and oneaisimulate-corecrate (scripts/release/build_release_artifacts.py:45-97, 155-161). New data coordinates match their metadata runtime framework/version and cover the five declared systems with vLLM 0.31.0 and SGLang 0.5.20. The query-slot comments match the resolver's fleet-wide derivednextbehavior (query_versions.yaml:9-18; perf_database.py:261-314). Python resolves aliases to literal versions before Rust reloads the engine spec (engine.py:688-736), so the Python/Rust binding remains synchronized. No changed manifest adds Dynamo or a separate AISimulate dependency, and no changed Rust or Python public wire schema is required.
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Full details: Description check
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Explanation
The description is detailed and covers the change, review map, compatibility impact, evidence, provenance, risks, and tracking. It omits the template fields for Fast CI, Full CI, CodeRabbit reviewed commit, and the required Codex reviewed commit for a medium-risk change.
Resolution
Add the missing template fields under Evidence, including Fast CI, Full CI, CodeRabbit reviewed commit, and Codex reviewed commit. Record explicit values or state that a field is not applicable.
Full details: Cross-Layer Contract
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Explanation
The cross-layer contract remains incomplete. The PR documents packaged GLM tables and explicit/
nextselection for five systems atdocs/glm53flash-native-contract.md:138-177, and the resolver now derives vLLMnextas 0.31.0 and SGLangnextas 0.5.20 (python/aisimulate/src/aisimulate_core/systems/query_versions.yaml:25-28,perf_database.py:317-359). However,python/aisimulate/tests/unit/sdk/models/test_glm53flash.pyis unchanged: its SILICON test still expects GB300 GLM construction to fail because no GLM tables ship (:453-458), and its HYBRID test still expects sparse attention to usesolbecause no GLM attention table ships (:461-469). The only GLM table test stages a synthetic external root withsystems_paths(:357-434). Changed tests cover Qwen/Kimi version fixtures or SOL parity, not packaged GLM loading. No changed test covers both packaged backends, explicit andnextversions, Hopper and Blackwell readiness, packaged-table diagnostics, slot rejection, or serialized EngineSpec/Rust reload.Resolution
Add a repository-root integration test for GLM-5.3-Flash that uses packaged data with both vLLM and SGLang, explicit 0.31.0/0.5.20 and
next, one Hopper system and one Blackwell system,enable_shared_layer=False, strict SILICON readiness, and diagnostics showing packaged-table sources. Exercise EngineSpec serialization and the Rust reload path. Add slot assertions thatnextresolves to 0.31.0/0.5.20 and that literal 0.27.1/0.5.17 requests raiseUnlistedQueryVersionErrorwithout opt-in. Update the stale SILICON/HYBRID comments and assertions to reflect that only thecurrentslot lacks GLM tables.
Full details: Review Evidence
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Explanation
The visible PR description is truncated before its validation section. The available text does not show the required command/result list, the local/fake-runner/parity/production distinctions, or whether it cites an inactive nested workflow as hosted CI evidence. The PR range does add a reproducible parity command and negative attribution cases in
crates/core/parity_tests/perfmodel/README.md, but that is repository content, not proof of the omitted PR-body claims. The full PR description is unavailable in the repository checkout.Resolution
Provide the complete PR description, including every validation command and result and all CI evidence claims. Then verify that negative or boundary checks are included, evidence types are explicitly distinguished, and no
python/aisimulate/.github/workflows/or other inactive nested workflow is presented as hosted CI evidence.
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Actionable comments posted: 3
- 🪄 Fix comments: Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @crates/core/parity_tests/perfmodel/goldens/engine_step.json:
- Around line 522-534: Update the Kimi-K3 golden explanation to include isolated
before/after contributions for the KDA and LatentMoE operations, comparing the
base KDA 0.5.16 and MoE 0.5.17 tables with the next SGLang 0.5.20 tables.
Alternatively, provide a complete per-operation breakdown alongside the existing
GEMM and all-reduce explanation.
Review comments at
@crates/core/parity_tests/perfmodel/test_engine_step_parity.py:
- Around line 1167-1168: Update pin_goldens._engine_step_record to call
engine_parity._surface_metrics within
engine_parity._unlisted_version_scope(case), preserving the existing metric
encoding flow so unlisted versions are allowed when refreshing golden records.
Review comments at
@python/aisimulate/src/aisimulate_core/systems/data/gb300/glm53_attention/sglang/0.5.20/collection_meta.yaml:
- Around line 2-6: Update both GB300 GLM53 attention metadata files: add
runtime.image_arch as arm64, set
tables.glm53_attention_module_perf.kv_cache_dtype to fp8, and add each attempt’s
system, runtime_arch, gpus_per_node, and serving_env values from its collection
manifest, preserving an explicitly empty serving_env as {}.
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Scope AIC_ALLOW_UNLISTED_VERSIONS inside _surface_metrics so that pin_goldens.py, which calls it directly, can refresh the Qwen3.8-Max 0.27.1/0.5.17 records. Note in the parity README that the 0.5.20 KDA, MoE, mHC and GLM attention tables leave the Kimi-K3 records unchanged. Signed-off-by: Harry Lee <harrli@nvidia.com>
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Add the op_backend_facts.yaml entries for the new vLLM 0.31.0 and SGLang 0.5.20 tables, drafted with tools/perf_database/backend_facts.py and limited to the added slices. The four GLM attention module labels have no kernel_source_backends.yaml mapping and stay `unverified`. The embedded native/bridge evidence test pinned Qwen3.8-Max to SGLang 0.5.17, which is no longer a queryable version; it now uses the `next` alias. Signed-off-by: Harry Lee <harrli@nvidia.com>
Signed-off-by: Harry Lee <harrli@nvidia.com>
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currentalias rather than retired raw backend versions, so they align with the slot migration. [::ai-dynamo/dynamo::tests/wheels/smoke_install.py:443] [::ai-dynamo/dynamo::tests/router/test_router_e2e_with_mockers.py:97-104] [::ai-dynamo/dynamo::components/src/dynamo/replay/tests/test_simulation.py:977]
ai-dynamo/aiconfigurator
- The compatibility contract accepts
current/previous/next, while rejecting other raw versions unlessallow_unlisted_version=TrueorAIC_ALLOW_UNLISTED_VERSIONS=1is set. [::ai-dynamo/aiconfigurator::aic-core/src/aiconfigurator_core/sdk/perf_database.py:148-161] [::ai-dynamo/aiconfigurator::aic-core/src/aiconfigurator_core/sdk/perf_database.py:305-315] nextis derived only from data-backed versions newer thancurrent; marker-only directories do not qualify. [::ai-dynamo/aiconfigurator::aic-core/src/aiconfigurator_core/sdk/perf_database.py:241-275]- Reference tests explicitly cover alias resolution, raw-version rejection, and opt-in access. [::ai-dynamo/aiconfigurator::tests/unit/sdk/database/test_query_version_slots.py:80-98]
- This frozen reference still declares older defaults (
sglang0.5.14 andvllm0.24.0), so it validates migration semantics but should not be expected to contain this PR’s newer fleet data. [::ai-dynamo/aiconfigurator::aic-core/src/aiconfigurator_core/systems/query_versions.yaml:24-28]
Resolve parity-case conflict with #320 (AFD removal): keep allow_unlisted_version, drop the removed AFD fields. Signed-off-by: Harry Lee <harrli@nvidia.com>
simone-chen
approved these changes
Oct 22, 2026
Signed-off-by: Harry Lee <harrli@nvidia.com>
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Why and what changed
On main, GLM-5.3-Flash op-level prediction fails with
no timing data for vllm 0.31.0 on h200_sxm, because the Ops tables were only available from an external systems root. This PR packages the measured tables:collection_meta.yamlfiles (about 8.9 MB) undersystems/data/<system>/<family>/<backend>/<version>/forgb300,gb200,b300_sxm,h200_sxmandh100_sxm. Each system getsvllm/0.31.0andsglang/0.5.20tables forgemm,moe,kda,mhc,comm(custom all-reduce) andglm53_attention; GB300 also getsquantize. Files are byte-identical to the campaign handoff. No README, MANIFEST or evidence files are included.comm/nccltables are unchanged. The campaign evaluation used its own NCCL 2.30.7 collection withnccl_version: 2.30.7. Here GLM prices the logits vocab gather from each system's packaged NCCL table, which keeps every other model's comm predictions unchanged. As a result, GLM Ops predictions differ from the campaign eval by at most 2.9e-4 relative; TP1 points are identical.docs/glm53flash-native-contract.mdnow describes the packaged tables. An external systems root remains optional.collector/op_backend_facts.yamlgains the entries for the new slices. They were drafted withtools/perf_database/backend_facts.py, limited to the added data, and pass--check. The four GLM attention module labels have nokernel_source_backends.yamlmapping, so they are recorded asunverifiedrather than guessed.Fleet
nextslot moves (behaviour change for other models)nextis derived as the highest data-backed version newer thancurrent(systems/query_versions.yaml,perf_database.get_version_slots). These tables therefore move the fleetnextfor every defaults-governed system:next: 0.27.1 -> 0.31.0next: 0.5.17 -> 0.5.20Consequences:
UnlistedQueryVersionError, because onlycurrent,previousandnextare queryable. The data stays in place and serves backward fill.nextqueries for other models read the new 0.5.20/0.31.0 tables where they exist and backfill the rest. On B300, the Kimi-K3nextcases now read the GLM-collected 0.5.20gemm_perfandcustom_allreduce_perftables (see the golden deltas below).state_space.rs:0.24.0 | 0.27.1). For Qwen3.8-Max on gb300 vLLMnext(TP16, prefill batch 4 x 2048),context_gdn_scantherefore drops from silicon (6.138 ms, served by the 0.27.1 rows) to SOL (0.941 ms). Pinned 0.27.1 predictions are unchanged. This PR does not change that gate; extending it to 0.31.0 is a separate modeling decision.current(0.24.0 / 0.5.14) is unchanged. Thequery_versions.yamlchange is limited to its "next derives to" comments.Test changes
allow_unlisted_version=Truecase field;test_qwen35_attention_lanes.pyusesAIC_ALLOW_UNLISTED_VERSIONS; the database-level tests useget_database(..., allow_unlisted_version=True). These follow the documented fixture convention inperf_database.pyand its use in feat(models): add Qwen3.8-Max SGLang support #101 (test_rust_engine_step.py) and the task_v2 conftest. None of these values is a queryable slot any more, so re-pinning tocurrent/previous/nextwould have changed what the tests cover.test_cli_saved_config_and_replay_preserve_source(a config round-trip on b200 SGLang) moves from0.5.17to thenextalias.crates/core/src/python.rs(Qwen3.8-Max, gb300 SGLang) moves from0.5.17to thenextalias. It still compares native and bridge evidence bit-for-bit.nextgoldens are refreshed for the static and disaggregated surfaces only, withpin_goldens.py --refresh, following the slot-move precedent in feat: enable B60 ops collection in xpu-graph mode and XPU-calibrated vLLM agg backend #329. Values below apply to bothkimi-k3-b300-sglang-next-nospecand-dspark-nextn7. Aggregate records pass unchanged, and the mixed records keep theirPerfDataNotAvailableError.Attribution: with only the B300 0.5.20 GEMM table present, static context and generation change by +1.819 and -0.607 ms; with only the all-reduce table, by -0.913 and -0.213 ms. The other families have no effect.
Known data suspect: NVFP4 MoE EP4 balanced rows (not changed here)
On every Blackwell system and both backends, the NVFP4 MoE rows at TP1/EP4 with 2048 tokens and
balancedrouting are about 5x the TP4/EP1 rows. They are also about 2x the power-law rows, although balanced routing should be the fastest. All rows use the same FlashInfer TRT-LLM NVFP4 kernel source. FP8-block EP4 rows are in line with TP4 (ratio 0.9 to 1.0), as are the Hopper rows.As a result, modeled GB300 NVFP4 prefill with EP4 is about 38% slower than TP4, while a GPU smoke test shows about 0%. The suspected cause is the collector or kernel path for balanced NVFP4 expert-parallel routing; no clear cause has been found. The rows ship unchanged. The evaluated deployments in this PR are all EP1, so the evaluation does not exercise them. NVFP4 EP predictions on Blackwell should be treated as suspect until the rows are recollected.
The GB300
glm53_attention_module_perf.evidence.json.gzsidecars from the handoff are not packaged (no platform ships them), so nocollection_meta.yamlneeds to list them.Review map
nextslot shift)crates/core/parity_tests/perfmodel/README.md(golden section),goldens/engine_step.json,test_engine_step_parity.py,docs/glm53flash-native-contract.mdnext= vLLM 0.31.0 / SGLang 0.5.20, and 0.27.1 / 0.5.17 are no longer accepted.nextor setAIC_ALLOW_UNLISTED_VERSIONS. Reverting the data restores the previous slots.Evidence
All runs use the packaged tree with no
systems_pathsoverride.best_available,op_level,fallback_policy=deny,enable_shared_layer=False; fp8 KV on Blackwell, bfloat16 KV on Hopper): all 30 deployments areready.solsources and 0 fallback entries. Embedding, final norm and TP1 no-op collectives use the genericempiricalmemory-op path, as before.aisimulate predict --stack engine, H200 GLM-5.3-Flash FP8 TP4, BF16 KV, strict SILICON op-level, 64 requests at 4096/256: completes on vLLM 0.31.0 and SGLang 0.5.20 with 0 fallbacks.pytest crates/core/parity_tests/perfmodel: 390 passed. Only the 8 Kimi records listed above changed.cargo test --workspace: 2184 passed, 0 failed.cargo test --workspace --features embed-python,replay-benchwithAIC_REQUIRE_EMBEDDED_ROUND_TRIP=1: 2263 passed, 0 failed.pytest -m unit. Ten tests failed because of the version shift and are fixed above. The remaining local failures match the base revision (environment: collector imports,sklearn, onboard/support CLI subprocesses).backend_facts.py --checkOK (2,436 fact slices), ruff check/format (CI scope),check_copyright.py,check_packaged_legal_files.py,check_documentation_links.pyand the CODEOWNERS build/emit all pass.Modeling or data provenance
vllm/vllm-openai:v0.31.0andlmsysorg/sglang:v0.5.20images (per-architecture children, no overlay). Everycollection_meta.yamlrecords the image digest, collector ref and hash, case-plan hash, row count, data SHA-256 and Slurm jobs.collection_meta.yaml.MANIFEST.sha256(verified before integration; the sha256 of each manifest file):5415554937336310…5e45e04318393760…ab3b80b012901744…3703cd6bffebfa8b…b3e3bc65839bbf3d…Tracking