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fix: enable GLM-5.3-Flash Hopper FP8 KV on supported runtimes - #574
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Review comments at
@python/aisimulate/tools/support_matrix/fpe_support_matrix.py:
- Line 510: Update the diagnostic matcher so each backend is paired only with
its documented minimum version, rather than allowing either version with either
backend. Add negative tests for the vLLM/sglang cross-pairs to ensure those
diagnostics are not classified as the documented incompatibility.
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THIRD_PARTY_NOTICES.mdcrates/core/src/perfmodel/engine/readiness.rscrates/core/src/perfmodel/operators/glm53flash.rsdocs/glm53flash-native-contract.mddocs/perf-model/support-matrix.mdpython/aisimulate/THIRD_PARTY_NOTICES.mdpython/aisimulate/tests/unit/sdk/models/test_glm53flash.pypython/aisimulate/tests/unit/support_matrix/test_fpe_support_matrix.pypython/aisimulate/tools/support_matrix/fpe_support_matrix.py
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- GitHub Check: Simulation Performance (advisory)
- GitHub Check: FPE matrix (rtx_pro_6000_server, sglang)
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- GitHub Check: FPE matrix (b300_sxm, sglang)
- GitHub Check: FPE matrix (b200_sxm, sglang)
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📚 Code guidelines: 4
python/aisimulate/.claude/rules/rust-core/parity.md — configured
python/aisimulate/.claude/rules/perfmodel-api.md — auto-discovered
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Enforce the single-oracle and golden-diff rules in python/aisimulate/.claude/rules/rust-core/parity.md.
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Read REVIEW.md before commenting.
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THIRD_PARTY_NOTICES.mdpython/aisimulate/tools/support_matrix/fpe_support_matrix.pypython/aisimulate/tests/unit/support_matrix/test_fpe_support_matrix.pydocs/perf-model/support-matrix.mdcrates/core/src/perfmodel/operators/glm53flash.rscrates/core/src/perfmodel/engine/readiness.rsdocs/glm53flash-native-contract.mdpython/aisimulate/THIRD_PARTY_NOTICES.mdpython/aisimulate/tests/unit/sdk/models/test_glm53flash.py
Source excerpt: Any PR that changes what the compiled engine computes (operators, loaders, interpolation, selection rules, engine composition) MUST in the same PR: Keep `test_engine_step_parity.py` / `test_compile_engine_parity.py` green —...
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crates/core/src/perfmodel/operators/glm53flash.rscrates/core/src/perfmodel/engine/readiness.rs
Applicability reference: AGENTS.md: # AGENTS Before changing a performance model, its configuration, or a caller in Rust, Python, CLI, Sweeper, Replay, or Planner, MUST read and follow [`perfmodel-api.md`](python/aisimulat...
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Source excerpt: Keep run logs, investigation notes, and benchmark results out of `docs/`; measured evidence belongs under `benchmarks/evidence/`.
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THIRD_PARTY_NOTICES.mdpython/aisimulate/tools/support_matrix/fpe_support_matrix.pypython/aisimulate/tests/unit/support_matrix/test_fpe_support_matrix.pydocs/perf-model/support-matrix.mdcrates/core/src/perfmodel/operators/glm53flash.rscrates/core/src/perfmodel/engine/readiness.rsdocs/glm53flash-native-contract.mdpython/aisimulate/THIRD_PARTY_NOTICES.mdpython/aisimulate/tests/unit/sdk/models/test_glm53flash.py
Source excerpt: Binary parquet changes require a machine-readable summary of keys, shapes, units, row counts, coverage, and anomalies plus proof that a real consumer reaches the new data.
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THIRD_PARTY_NOTICES.mdpython/aisimulate/tools/support_matrix/fpe_support_matrix.pypython/aisimulate/tests/unit/support_matrix/test_fpe_support_matrix.pydocs/perf-model/support-matrix.mdcrates/core/src/perfmodel/operators/glm53flash.rscrates/core/src/perfmodel/engine/readiness.rsdocs/glm53flash-native-contract.mdpython/aisimulate/THIRD_PARTY_NOTICES.mdpython/aisimulate/tests/unit/sdk/models/test_glm53flash.py
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📓 Common learnings
Learnt from: CR
Repo: ai-dynamo/aisimulate PR: 0
File: python/aisimulate/.claude/rules/repo-guide.md:0-0
Timestamp: 2026-10-20T16:51:36.054Z
Learning: Source excerpt:
# Repo Guide (always loaded — everything else loads by path)
## Governed areas
- Performance models and their Rust/Python/CLI/Sweeper/Replay/Planner consumers
→ read [perfmodel-api.md](perfmodel-api.md) before extending or migrating an API.
Learnt from: CR
Repo: ai-dynamo/aisimulate PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-10-20T16:50:41.000Z
Learning: Source excerpt:
# AGENTS
## Performance Model Changes
Before changing a performance model, its configuration, or a caller in Rust,
Python, CLI, Sweeper, Replay, or Planner, MUST read and follow
[`perfmodel-api.md`](python/aisimulate/.claude/rules/perfmodel-api.md).
This includes new features and configuration migrations.
📚 Learning: 2026-10-20T16:50:41.000Z
Learnt from: CR
Repo: ai-dynamo/aisimulate PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-10-20T16:50:41.000Z
Learning: Applies to python/aisimulate/THIRD_PARTY_NOTICES.md : Source excerpt:
# AGENTS
## Required Third-Party Attribution
Before adding code or other content copied, adapted, translated, or
substantially derived from an external project, MUST:
- Add an entry to the root `THIRD_PARTY_NOTICES.md` identifying the derived
files, upstream source and immutable revision, copyright owner, applicable
license, and whether the files were modified. The root notice is canonical;
keep `python/aisimulate/THIRD_PARTY_NOTICES.md` byte-identical so the notice
is included in Python distributions. Run
`python3 scripts/ci/check_packaged_legal_files.py` after either copy changes.
Applied to files:
python/aisimulate/THIRD_PARTY_NOTICES.md
📚 Learning: 2026-10-20T16:50:41.000Z
Learnt from: CR
Repo: ai-dynamo/aisimulate PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-10-20T16:50:41.000Z
Learning: Applies to {THIRD_PARTY_NOTICES.md,python/aisimulate/THIRD_PARTY_NOTICES.md} : Source excerpt:
# AGENTS
## Required Third-Party Attribution
Before adding code or other content copied, adapted, translated, or
substantially derived from an external project, MUST:
- Add an entry to the root `THIRD_PARTY_NOTICES.md` identifying the derived
files, upstream source and immutable revision, copyright owner, applicable
license, and whether the files were modified. The root notice is canonical;
keep `python/aisimulate/THIRD_PARTY_NOTICES.md` byte-identical so the notice
is included in Python distributions. Run
`python3 scripts/ci/check_packaged_legal_files.py` after either copy changes.
Applied to files:
python/aisimulate/THIRD_PARTY_NOTICES.md
🪛 ast-grep (0.45.3)
python/aisimulate/tools/support_matrix/fpe_support_matrix.py
[warning] 515-515: Regex pattern passed to re is built from a non-literal (variable, call, concatenation, or f-string) value. If that value is attacker-controlled it can introduce a malicious pattern with catastrophic backtracking (ReDoS). Use a hardcoded literal pattern, or validate/escape untrusted input with re.escape() and bound the regex complexity before compiling.
Context: re.fullmatch(hopper_kv_rejection, str(item).strip())
Note: [CWE-1333] Inefficient Regular Expression Complexity.
(redos-non-literal-regex-python)
🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfigurator
Linked repositories findings
ai-dynamo/dynamo
- GLM-5.3 recipes use SGLang 0.5.18. [::ai-dynamo/dynamo::recipes/glm-5.3/README.md:27]
- H200 aggregate deployment enables FP8 KV and DSA attention on that image. [::ai-dynamo/dynamo::recipes/glm-5.3/sglang/agg-h200-agentic/deploy.yaml:13-30] [::ai-dynamo/dynamo::recipes/glm-5.3/sglang/agg-h200-agentic/deploy.yaml:67-68]
- H200 disaggregated prefill and decode configurations likewise enable FP8 KV and DSA. [::ai-dynamo/dynamo::recipes/glm-5.3/sglang/disagg-h200-agentic/deploy.yaml:12-28] [::ai-dynamo/dynamo::recipes/glm-5.3/sglang/disagg-h200-agentic/deploy.yaml:48-60] [::ai-dynamo/dynamo::recipes/glm-5.3/sglang/disagg-h200-agentic/deploy.yaml:83-90]
These downstream recipes request the capability admitted by this PR but remain pinned below the new SGLang 0.5.22 minimum.
ai-dynamo/aiconfigurator
- The frozen compatibility model aliases GLM-5.3 to GLM-5.2 and separates BF16,
fp8_block, and NVFP4 model quantization modes. [::ai-dynamo/aiconfigurator::collector/cases/models/GlmMoeDsaForCausalLM_cases.yaml:134-176] - Its sparse GLM collector and tests are explicitly tied to the SGLang 0.5.14 DSA API. [::ai-dynamo/aiconfigurator::tests/unit/collector/test_sglang_glm5_sparse_0514.py:61-66]
This reference contains no corresponding 0.5.22 runtime-gate update or exact-runtime FP8-KV coverage.
🔇 Additional comments: 1
python/aisimulate/tests/unit/sdk/models/test_glm53flash.py: 1
351-351: 🎯 Functional CorrectnessKeep the assertion unchanged.
The provenance config retains
Nonefor an omitted KV request. The native engine may apply FP8 internally, but that does not rewrite the diagnostic request value. The proposed assertion change is not needed.
tedzhouhk
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Reviewed 3539fee6 with independent checks of upstream release boundaries, FP8 QK/PV arithmetic, and native diagnostic classification. No blocking findings. Locally ran 613 model, support-matrix and numerical-parity tests against this head's CI-built wheel; all passed. Exact-head Hopper FPE artifacts also show the original 96 plans / 328 blocking rows correctly classified as incompatible, without fabricating PASS results.
The non-blocking backend/minimum pairing hardening remains noted in the existing thread. No GPU latency-accuracy or completed nightly-publication claim is implied by this approval.
…amo#574) * fix: enable GLM Hopper FP8 KV on supported runtimes * fix: bind Hopper KV diagnostics to backend minimums
Why and what changed
GLM-5.3-Flash FP8 KV on H100/H200 was rejected for every runtime version. SGLang v0.5.22 contains the CUDA TileLang implementation and vLLM v0.32.0 fixes the SM90 FlashInfer plan dtype, so this restriction also rejected working deployments.
Admit Hopper FP8 KV at those release boundaries, retain the older-runtime rejection, and classify that exact build diagnostic as
FRAMEWORK_INCOMPATIBLE. Price SGLang's newly admitted QK/PV arithmetic using FP8 tensor-core throughput. Document the required TileLang serving flags and the existingAIC_ALLOW_UNLISTED_VERSIONS=1opt-in for analytical evaluation of versions outside the packaged query slots.Review map
crates/core/src/perfmodel/engine/readiness.rs, thenoperators/glm53flash.rsand the support-matrix classifier.Evidence
cargo test -p aisimulate-core glm53 --lib— 37 passed.python/aisimulate/.venv/bin/pytest -c python/aisimulate/pytest.ini python/aisimulate/tests/unit/sdk/models/test_glm53flash.py -q— 144 passed.python/aisimulate/.venv/bin/pytest -c python/aisimulate/pytest.ini python/aisimulate/tests/unit/support_matrix/test_fpe_support_matrix.py python/aisimulate/tests/unit/support_matrix/test_fpe_qualification.py -q— 82 passed.python/aisimulate/.venv/bin/pytest -c python/aisimulate/pytest.ini crates/core/parity_tests/perfmodel/test_engine_step_parity.py crates/core/parity_tests/perfmodel/test_compile_engine_parity.py -q— 389 passed.cargo fmt --all --check,git diff --check, andpython3 scripts/ci/check_packaged_legal_files.pypassed.5d94f69d0d7543950dc133d9926ac6a0eb33452e; Full CI completed with 54 successful jobs and 2 conditional skips.5d94f69d0d7543950dc133d9926ac6a0eb33452e(31 successful jobs). The four H100/H200 SGLang/vLLM reports contain zeroBUILD_FAILED/QUERY_FAILED; all 328 original GLM Hopper old-runtime rejections areFRAMEWORK_INCOMPATIBLE. This verifies FPE qualification, not the complete nightly publication pipeline.3539fee6ab73cd557d882a0cb843e7e46faf8f4f; the backend/minimum pairing finding is addressed in5d94f69d0d7543950dc133d9926ac6a0eb33452ewith two negative regression cases.5d94f69d0d7543950dc133d9926ac6a0eb33452e(independent review of the initial change and follow-up).BUILD_FAILED.Modeling or data provenance
Upstream support: SGLang #42957, merge
9336681310c7a7153c4fbd7c2b9ae62011899014; vLLM #55222, mergec37f86e5721f089a27c8e4358c30e435805fcaab. Immutable source attribution is recorded in both synchronized notices.This adds analytical capability, not new measured performance or accuracy acceptance. Strict SILICON still requires exact-runtime and exact-KV data. SGLang serving requires FP8 E4M3 plus TileLang for both DSA prefill and decode; DCP > 1 and HiSparse remain outside the modeled path. No new native GPU run was performed in this PR.
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