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[https://nvbugs/6633931][fix] Size the SM90 fp8 block-scale MoE workspace for the buffers it actually uses - #18323

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NVIDIA:mainfrom
pranav-nvidia:bug6633931-moe-fp8-workspace
Sep 1, 2026
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[https://nvbugs/6633931][fix] Size the SM90 fp8 block-scale MoE workspace for the buffers it actually uses#18323
pranav-nvidia merged 3 commits into
NVIDIA:mainfrom
pranav-nvidia:bug6633931-moe-fp8-workspace

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@pranav-nvidia pranav-nvidia commented Aug 27, 2026

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Dev Engineer Review

  • Updated SM90 FP8 block-scale MoE workspace sizing.
  • Sized pre-quantized activation buffers for packed FP8 activations and padded 1x128 scale regions.
  • Reserved FC2 GEMM output only in the buffer selected by the forward-pass routing predicate.
  • Restored unfused-path sizing outputs to fc1_output.
  • No public API, kernel, or launch-parameter changes were made.
  • Workspace usage decreased from 14.068 GiB to 10.679 GiB for the stated H100 workload.
  • Output fingerprints remain bit-identical.
  • Reported validation passed 10 FP8 block-scale CUTLASS unit tests and full-size tests through 65,536 MoE rows.

QA Engineer Review

No test changes.

Description

On SM90, getWorkspaceDeviceBufferSizes over-sizes the two overlapped MoE buffers for the fp8 block-scale path, and #16849 made it worse.

Under fp8 activation fusion (useFp8BlockScaleActFusion(), SM90 only) the overlapped inputs buffer holds pre-quantized fp8 activations plus their padded 1x128 scales — never the bf16 activations that permuted_data_size and fc1_result_size are sized for. #16849 already computes the correct size with fp8BlockScaleRegionBytes(...), but takes a max() with the stale bf16 sizes instead of replacing them. Since sizeof(T) == sizeof(UnfusedGemmOutputType) == 2, permuted_data_size alone pins the buffer at permuted_elems * 2, roughly twice what the fused path needs. This replaces rather than maxes.

The FC2 GEMM output is now reserved in exactly one of the two buffers, selected by the same predicate the forward pass uses to route it (isActivationPrequantized() / use_fused_block_scale_quant): the fused path writes it into the outputs buffer (glu_inter_result_, because its input fc1_result_ is aliased onto fc2_result_), the unfused path writes fc2_result_ in the inputs buffer. It was previously counted in both. This also restores outputs = fc1_output on the unfused path — #16849 widened it to max(fc1, fc2) unconditionally, so non-SM90 architectures were reserving an FC2-output-sized buffer they never write to.

Measured on H100 (SM90) at DeepSeek-V3.2 dimensions (hidden 7168, inter 2048, 256 experts, top_k 8), sweeping MoE rows, reading the workspace size the op logs at DEBUG:

MoE rows before after
8192 1.759 GiB 1.336 GiB
16384 3.517 GiB 2.671 GiB
32768 7.034 GiB 5.340 GiB
65536 14.068 GiB 10.679 GiB

At 65536 rows that is 15,105,925,632 -> 11,467,047,424 bytes, a 24.1% reduction. This is sizing only; no kernel or launch parameter changes.

Context: the 14.02 GiB allocation is what OOMs in NVBug 6633931 on 8xH200. That test also runs MoE unchunked, which is fixed separately in #18322; the two changes are independent and both are needed to give the test real margin.

Test Coverage

tests/unittest/_torch/modules/moe/test_moe_backend.py -k "FP8_BLOCK_SCALES and CUTLASS" — 10 passed on H100, run on the unpatched build as a control.

Because that suite only covers small shapes (seq 1-8, hidden 256-2048) where the workspace is negligible, an under-sized buffer that only overflows at large num_moe_inputs would corrupt FC2's input silently rather than crash. So the change was additionally checked at full DeepSeek-V3.2 dimensions up to 65536 MoE rows (524288 expanded rows) with identical seeds: output fingerprints are bit-identical before and after at every row count (out_sum 194420032929792.0, out_absmax 14483456.0, out_mean 413869.1875, 0 NaN, 0 Inf), and getWorkspaceSize no longer needs the removed capacity.

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…the buffers it uses

Under fp8 activation fusion the inputs buffer holds pre-quantized fp8 activations plus
their padded 1x128 scales, not the bf16 activations permuted_data_size is sized for, so
max()-ing with the bf16 sizes keeps it at twice what is needed. Only the fused path writes
FC2 output into the outputs buffer, so the unfused path no longer sizes for it either.
DeepSeek-V3.2 at 65536 MoE rows: 14.068 -> 10.679 GiB, outputs bit-identical.

Signed-off-by: Pranav Shrestha <254760092+pranav-nvidia@users.noreply.github.com>
…rkspace

Signed-off-by: Pranav Shrestha <254760092+pranav-nvidia@users.noreply.github.com>
…zing comments

Signed-off-by: Pranav Shrestha <254760092+pranav-nvidia@users.noreply.github.com>
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pranav-nvidia marked this pull request as ready for review August 31, 2026 17:03
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pranav-nvidia requested a review from a team as a code owner August 31, 2026 17:03
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Review Change Stack

Walkthrough

DeepSeek FP8 block-scale workspace sizing now separates prequantized and unfused allocation paths. Prequantized paths include packed activation scale regions and larger FC1/FC2 output storage. Unfused paths reserve additional FC2 output capacity.

Changes

DeepSeek FP8 workspace allocation

Layer / File(s) Summary
Separate prequantized and unfused workspace sizing
cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu
Prequantized inputs use hidden-size and intermediate-size FP8 scale regions. Outputs use the larger FC1 or FC2 requirement. Unfused inputs include FC2 output storage.

Estimated code review effort: 2 (Simple) | ~10 minutes

Merge Risk: ⚪ Minimal · up to 83888

The PR reduces SM90 FP8 MoE workspace allocation without changing kernels or launch parameters. No actionable merge-blocking risk remains; the outstanding const-qualification cleanup is routine.

Suggested reviewers: bowenfu

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 2 functions across 1 files. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title follows the required NVBugs and fix format and clearly states the main change: correcting SM90 FP8 block-scale MoE workspace sizing.
Description check ✅ Passed The description explains the sizing problem, the solution, affected fused and unfused paths, measured impact, and test coverage. The required sections are present and the checklist is completed.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
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Actionable comments posted: 1

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Inline comments:
In `@cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu`:
- Line 3338: In the DeepSeek MoE GEMM setup, declare blockscale_gemm_runner and
the deepseek_fc1_workspace_size and deepseek_fc2_workspace_size locals as const
using east-const style, without changing their initialization or subsequent
read-only use.
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pranav-nvidia merged commit e9376f8 into NVIDIA:main Sep 1, 2026
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