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[Kernel] OAITritonExperts MXFP4: include SM 12.x in supported device range#41028

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[Kernel] OAITritonExperts MXFP4: include SM 12.x in supported device range#41028
tonyliu312 wants to merge 1 commit intovllm-project:mainfrom
tonyliu312:oai-triton-sm12x-gate

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Summary

BaseOAITritonExperts._supports_current_device (and its OAITritonMxfp4ExpertsMonolithic twin) currently caps the CUDA capability at < (11, 0):

# (9,0) <= cap < (11,0) covers CUDA SM90 (Hopper), SM100+ (Blackwell)
# and ROCm gfx942/gfx950 (which map to 9.4/9.5).
return (9, 0) <= (cap.major, cap.minor) < (11, 0)

That excludes consumer Blackwell — SM 12.0 / SM 12.1 (RTX 50-series and GB10 / DGX Spark) — even though those parts execute the same Triton MXFP4 kernels just fine. On SM 12.x today the engine fails to start with:

ValueError: Mxfp4 MoE backend 'TRITON' does not support the
deployment configuration since kernel does not support current
device cuda.

This PR bumps the upper bound to < (13, 0), which lets SM 100 / 103 / 120 / 121 all reach the Triton path. The kernels are pure Triton JIT — no SM 9.0-only wgmma or SM 10.x-only tcgen05.* instructions — so the wider gate is safe.

The same change is applied to both BaseOAITritonExperts (L658) and OAITritonMxfp4ExpertsMonolithic (L1072).

Test plan

  • Verified locally on dual NVIDIA GB10 / SM 12.1 (DGX Spark): _supports_current_device() returns True after the bump and engine init progresses past this gate.
  • No PTX or kernel changes — only the runtime gate moves; existing CI on SM 90 (H100) / SM 100 covers the unchanged paths.
  • Subsequent failures observed on SM 12.x for some workloads (e.g. SILU activation on OAITritonExperts, which only supports SwiGLU) are model-specific and unrelated to this gate — they manifest as proper kernel does not support … errors after this PR, instead of being masked behind the device-capability gate.

Cross-platform notes

Platform Pre-PR Post-PR
SM 80 / SM 86 / SM 89 (Ampere/Ada) ❌ rejected (correct, kernels don't target Ampere) ❌ rejected (unchanged)
SM 90 (Hopper) ✅ accepted ✅ accepted
SM 100 / 103 (datacenter Blackwell) ✅ accepted ✅ accepted
SM 120 / 121 (consumer Blackwell) ❌ rejected ✅ accepted
ROCm gfx942 / gfx950 ✅ accepted ✅ accepted
Other archs ≥ (13,0) ❌ rejected ❌ rejected (intentional — re-evaluate when those ship)

cc @mgoin @tlrmchlsmth @LucasWilkinson — small follow-up to the SM 12.x story alongside #40923.

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Code Review

This pull request expands the device capability checks to support Blackwell architecture (SM 100+, SM 120/121) and ROCm gfx942/950 by increasing the upper bound to SM 13.0. The review feedback identifies an inconsistency in the documentation comments which incorrectly state support for SM 8.0+, whereas the implementation correctly restricts it to SM 9.0+.

Comment on lines +654 to +659
# (9,0) <= cap < (13,0) covers CUDA SM90 (Hopper), SM100+ (datacenter
# Blackwell), SM120/SM121 (consumer Blackwell — RTX 50-series, GB10
# /DGX Spark) and ROCm gfx942/gfx950 (which map to 9.4/9.5). The Triton
# MXFP4 kernels are JIT-compiled and run on any sm>=80 the Triton
# backend supports; the upper bound just excludes archs where the
# comment-author was not yet sure.
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high

The comment added here is inconsistent with the code logic and the PR's stated intent. It mentions that the kernels run on any sm>=80, but the code enforces sm>=90 (via (9, 0) <= ...). The PR description also explicitly states that SM 8x (Ampere) is rejected because the kernels do not target it. The comment should be updated to sm>=90 to be consistent with the implementation.

Suggested change
# (9,0) <= cap < (13,0) covers CUDA SM90 (Hopper), SM100+ (datacenter
# Blackwell), SM120/SM121 (consumer Blackwell — RTX 50-series, GB10
# /DGX Spark) and ROCm gfx942/gfx950 (which map to 9.4/9.5). The Triton
# MXFP4 kernels are JIT-compiled and run on any sm>=80 the Triton
# backend supports; the upper bound just excludes archs where the
# comment-author was not yet sure.
# (9,0) <= cap < (13,0) covers CUDA SM90 (Hopper), SM100+ (datacenter
# Blackwell), SM120/SM121 (consumer Blackwell — RTX 50-series, GB10
# /DGX Spark) and ROCm gfx942/gfx950 (which map to 9.4/9.5). The Triton
# MXFP4 kernels are JIT-compiled and run on any sm>=90 the Triton
# backend supports; the upper bound just excludes archs where the
# comment-author was not yet sure.

Comment on lines +1072 to +1077
# (9,0) <= cap < (13,0) covers CUDA SM90 (Hopper), SM100+ (datacenter
# Blackwell), SM120/SM121 (consumer Blackwell — RTX 50-series, GB10
# /DGX Spark) and ROCm gfx942/gfx950 (which map to 9.4/9.5). The Triton
# MXFP4 kernels are JIT-compiled and run on any sm>=80 the Triton
# backend supports; the upper bound just excludes archs where the
# comment-author was not yet sure.
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high

The comment added here is inconsistent with the code logic and the PR's stated intent. It mentions that the kernels run on any sm>=80, but the code enforces sm>=90 (via (9, 0) <= ...). The PR description also explicitly states that SM 8x (Ampere) is rejected because the kernels do not target it. The comment should be updated to sm>=90 to be consistent with the implementation.

Suggested change
# (9,0) <= cap < (13,0) covers CUDA SM90 (Hopper), SM100+ (datacenter
# Blackwell), SM120/SM121 (consumer Blackwell — RTX 50-series, GB10
# /DGX Spark) and ROCm gfx942/gfx950 (which map to 9.4/9.5). The Triton
# MXFP4 kernels are JIT-compiled and run on any sm>=80 the Triton
# backend supports; the upper bound just excludes archs where the
# comment-author was not yet sure.
# (9,0) <= cap < (13,0) covers CUDA SM90 (Hopper), SM100+ (datacenter
# Blackwell), SM120/SM121 (consumer Blackwell — RTX 50-series, GB10
# /DGX Spark) and ROCm gfx942/gfx950 (which map to 9.4/9.5). The Triton
# MXFP4 kernels are JIT-compiled and run on any sm>=90 the Triton
# backend supports; the upper bound just excludes archs where the
# comment-author was not yet sure.

…range

The Triton MXFP4 fused-MoE experts (`OAITritonExperts` and
`OAITritonMxfp4ExpertsMonolithic`) gate by

    return (9, 0) <= (cap.major, cap.minor) < (11, 0)

so consumer Blackwell (SM 12.0 / SM 12.1, RTX 50-series and GB10/DGX
Spark) is rejected at runtime with

    ValueError: Mxfp4 MoE backend 'TRITON' does not support the
    deployment configuration since kernel does not support current
    device cuda.

The Triton kernels themselves compile and run fine on SM 12.x — they
are pure JIT and don't use SM 9.0-only `wgmma` or SM 10.x-only
`tcgen05.*` instructions. The upper bound just predates the SM 12.x
Blackwell variants shipping. Bumping the bound to `(13, 0)` lets
SM 100/103/120/121 all use this path, matching the existing SM 100+
Blackwell intent stated in the comment.

Verified locally on dual NVIDIA GB10 (DGX Spark, SM 12.1):
- `_supports_current_device()` returns True after the bump
- Engine init progresses past the previous gate (subsequent failures,
  if any, are model-specific and unrelated to this gate, e.g. SILU
  vs SwiGLU activation requirement of `OAITritonExperts`).

Same change applied to both occurrences in this file (line 658 for
the fused experts, line 1072 for the monolithic experts).

Signed-off-by: Tony Liu <tonyliu0512@gmail.com>
@tonyliu312 tonyliu312 force-pushed the oai-triton-sm12x-gate branch from bec9ac4 to f1672af Compare April 27, 2026 16:01
@tonyliu312
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Author

Thanks @gemini-code-assist — fixed in f1672af. The comment now correctly explains the lower bound (SM 9.0+ for Triton MXFP4 tensor-core/matmul instructions) without misleading "sm>=80" wording.

@gemini-code-assist
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Thank you for the update, @tonyliu312. The clarification in the code comments regarding the lower bound is helpful for maintainability. Since the logic changes have been verified on SM 12.x hardware and the gate correctly allows the intended devices while maintaining the necessary constraints for the Triton MXFP4 kernels, this looks good.

@Harry-Chen Harry-Chen added the ready ONLY add when PR is ready to merge/full CI is needed label Apr 28, 2026
@AshtonVaughan
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Validated the gate logic on RTX 5090 (consumer Blackwell SM 12.0). Author tested SM 12.1 GB10/DGX Spark, this adds the SM 12.0 RTX 50-series side.

SM version reported by torch.cuda: 12.0
Old gate (< 11,0):  False  (5090 incorrectly excluded)
New gate (< 13,0):  True   (5090 admitted)

Sanity sweep across SM caps:

SM old gate new gate comment
8.0 False False correct, pre-Hopper
9.0 True True Hopper kept
10.0 True True datacenter Blackwell kept
12.0 False True RTX 5090 fix
12.1 False True GB10 fix (already verified by author)
13.0 False False future arch correctly excluded

One minor note. The comment block now reads SM 100+ (datacenter Blackwell), SM 120/SM 121 (consumer Blackwell) but the literal upper bound < (13, 0) also admits hypothetical SM 11.x. NVIDIA has not announced anything in that range so it is academic, but if you want the comment to match the gate exactly you could note that SM 11.x is also nominally accepted.

LGTM on the gate change itself. The Triton MXFP4 kernels are pure JIT and the consumer Blackwell tensor cores are a strict superset of the SM 9.0 instructions they rely on, so the wider gate is safe in practice.

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