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[Bugfix] flashinfer: fail fast when --kv-cache-dtype nvfp4 used on unsupported arch - #43669

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Kartavyasonar:fix-nvfp4-unsupported-arch-fail-fast
Jun 2, 2026
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[Bugfix] flashinfer: fail fast when --kv-cache-dtype nvfp4 used on unsupported arch#43669
vllm-bot merged 1 commit into
vllm-project:mainfrom
Kartavyasonar:fix-nvfp4-unsupported-arch-fail-fast

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@Kartavyasonar

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Problem

--kv-cache-dtype nvfp4 is silently accepted on architectures without
a trtllm-gen FP4 FMHA kernel. The engine starts cleanly, captures
graphs, then dies on the first request with either:

  • AttributeError: module 'torch' has no attribute 'nvfp4' (flashinfer
    dtype resolution), or
  • RuntimeError: Unsupported architecture deep in trtllm-gen FMHA

The server appears healthy until the first token, making this harder to
diagnose than a startup crash.

Reported in #43562 (sm_120 / RTX PRO 6000 Blackwell).

Root cause: trtllm-gen FP4 FMHA kernels only exist for sm_100/sm_103
(GB200/GB202). vLLM forces backend = "trtllm-gen" when
is_kvcache_nvfp4 is True (flashinfer.py:773) but never checks whether
the current device can actually run those kernels.

Fix

Add a capability check immediately after is_kvcache_nvfp4 is set to
True. If the detected compute capability is not sm_100 or sm_103,
raise a ValueError at engine init with a clear, actionable message
pointing the user to --kv-cache-dtype fp8.

current_platform.get_device_capability() is already imported and used
in this file.

Before

NFO: Using max model len 8192
... engine starts, graphs captured ...
first request ->
AttributeError: module 'torch' has no attribute 'nvfp4'
or: RuntimeError: Unsupported architecture

After

ValueError: --kv-cache-dtype nvfp4 requires sm_100 or sm_103
(GB200/GB202); detected sm_120. Use --kv-cache-dtype fp8 instead.

Fixes #43562

@Kartavyasonar

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/cc @0xAlcibiades

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@mergify mergify Bot added nvidia v1 bug Something isn't working labels May 26, 2026

@gemini-code-assist gemini-code-assist Bot left a comment

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Code Review

This pull request adds a validation check to fail fast at initialization if --kv-cache-dtype nvfp4 is used on unsupported hardware (non-sm_100/sm_103). The reviewer suggests dynamically recommending either fp8 or auto as an alternative based on whether the current platform supports FP8, rather than unconditionally suggesting fp8 which could fail on older architectures.

Comment on lines +629 to +636
if _cap is not None and not (
_cap.major == 10 and _cap.minor in (0, 3)
):
raise ValueError(
f"--kv-cache-dtype nvfp4 requires sm_100 or sm_103 "
f"(GB200/GB202); detected sm_{_cap.major}{_cap.minor}. "
f"Use --kv-cache-dtype fp8 instead."
)

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high

On architectures older than Ada Lovelace (e.g., Ampere sm_80 / A100), FP8 is not natively supported. Suggesting --kv-cache-dtype fp8 on those platforms will lead to another failure. We should dynamically suggest --kv-cache-dtype fp8 only if the platform supports FP8, and fall back to --kv-cache-dtype auto otherwise.

Suggested change
if _cap is not None and not (
_cap.major == 10 and _cap.minor in (0, 3)
):
raise ValueError(
f"--kv-cache-dtype nvfp4 requires sm_100 or sm_103 "
f"(GB200/GB202); detected sm_{_cap.major}{_cap.minor}. "
f"Use --kv-cache-dtype fp8 instead."
)
if _cap is not None and not (
_cap.major == 10 and _cap.minor in (0, 3)
):
alternative = "fp8" if current_platform.supports_fp8() else "auto"
raise ValueError(
f"--kv-cache-dtype nvfp4 requires sm_100 or sm_103 "
f"(GB200/GB202); detected sm_{_cap.major}{_cap.minor}. "
f"Use --kv-cache-dtype {alternative} instead."
)

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Good catch updated to dynamically suggest fp8 only when current_platform.supports_fp8() returns True, falling back to auto on older architectures. Thanks for the review.

@Kartavyasonar
Kartavyasonar force-pushed the fix-nvfp4-unsupported-arch-fail-fast branch 3 times, most recently from 413cc9a to 1fca26c Compare May 26, 2026 13:02
@hclsys

hclsys commented May 26, 2026

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Nice fail-fast — the "healthy until first token" failure mode is genuinely painful to debug, so catching it at init is the right call.

One edge worth considering: get_device_capability() is typed DeviceCapability | None, and the guard is if _cap is not None and not (...). So when capability comes back None (capability unknown / some non-CUDA or detection-failed path), the check is skipped and nvfp4 is silently accepted — which then falls through to exactly the late first-request crash this PR is trying to prevent, just for the unknown-arch case.

Might be safer to treat unknown capability as unsupported too, e.g.:

_cap = current_platform.get_device_capability()
if _cap is None or not (_cap.major == 10 and _cap.minor in (0, 3)):
    ...
    raise ValueError(...)

(There's similar prior art a few lines up at ~L431: if capability is not None and capability.major == 10: — though that one's gating an optimization, where falling through is harmless, vs. here where falling through re-arms the crash.)

Minor: the message says sm_{_cap.major}{_cap.minor} which would render sm_103 as sm_103 ✅ but sm_100 as sm_100 — just double-check minor=0 doesn't print as sm_10. Otherwise looks good — thanks for tightening this up.

@Kartavyasonar
Kartavyasonar force-pushed the fix-nvfp4-unsupported-arch-fail-fast branch 2 times, most recently from ab907c1 to dd9375b Compare May 27, 2026 09:42
@Kartavyasonar

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Nice fail-fast — the "healthy until first token" failure mode is genuinely painful to debug, so catching it at init is the right call.

One edge worth considering: get_device_capability() is typed DeviceCapability | None, and the guard is if _cap is not None and not (...). So when capability comes back None (capability unknown / some non-CUDA or detection-failed path), the check is skipped and nvfp4 is silently accepted — which then falls through to exactly the late first-request crash this PR is trying to prevent, just for the unknown-arch case.

Might be safer to treat unknown capability as unsupported too, e.g.:

_cap = current_platform.get_device_capability()
if _cap is None or not (_cap.major == 10 and _cap.minor in (0, 3)):
    ...
    raise ValueError(...)

(There's similar prior art a few lines up at ~L431: if capability is not None and capability.major == 10: — though that one's gating an optimization, where falling through is harmless, vs. here where falling through re-arms the crash.)

Minor: the message says sm_{_cap.major}{_cap.minor} which would render sm_103 as sm_103 ✅ but sm_100 as sm_100 — just double-check minor=0 doesn't print as sm_10. Otherwise looks good — thanks for tightening this up.

Good points both updated:

Unknown capability (None) now blocks rather than skips, treating it as unsupported
Minor zero-padded with :02d so sm_100 renders correctly instead of sm_10

Thanks for the careful review.

Comment on lines +626 to +640
# trtllm-gen FP4 FMHA kernels only exist for sm_100/sm_103.
# Fail fast at init rather than crashing on the first request.
_cap = current_platform.get_device_capability()
if _cap is None or not (_cap.major == 10 and _cap.minor in (0, 3)):
alternative = "fp8" if current_platform.supports_fp8() else "auto"
cap_str = (
f"sm_{_cap.major}{_cap.minor:02d}"
if _cap is not None
else "unknown"
)
raise ValueError(
f"--kv-cache-dtype nvfp4 requires sm_100 or sm_103 "
f"(GB200/GB202); detected {cap_str}. "
f"Use --kv-cache-dtype {alternative} instead."
)

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You can simplify this:

                # trtllm-gen FP4 FMHA kernels only exist for sm_100/sm_103.
                if not current_platform.is_device_capability_family(100):
                    raise ValueError("--kv-cache-dtype nvfp4 requires sm100f, please try a different dtype or remove")

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Thanks simplified to is_device_capability_family(100) as suggested.

@0xAlcibiades

0xAlcibiades commented May 27, 2026

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/cc @0xAlcibiades

It would be nice later to get this working in the underlying. Regardless, preventing the late fail here is an improvement.

Signed-off-by: Kartavya Sonar <sonarkartavya@gmail.com>
@Kartavyasonar
Kartavyasonar force-pushed the fix-nvfp4-unsupported-arch-fail-fast branch from dd9375b to 51776d7 Compare May 27, 2026 18:02
@github-project-automation github-project-automation Bot moved this to Ready in NVIDIA Jun 1, 2026
@mgoin mgoin added the ready ONLY add when PR is ready to merge/full CI is needed label Jun 1, 2026
@mgoin
mgoin enabled auto-merge (squash) June 1, 2026 21:21
@vllm-bot
vllm-bot merged commit fe32e78 into vllm-project:main Jun 2, 2026
70 of 75 checks passed
@github-project-automation github-project-automation Bot moved this from Ready to Done in NVIDIA Jun 2, 2026
mvanhorn pushed a commit to mvanhorn/vllm that referenced this pull request Jun 4, 2026
…supported arch (vllm-project#43669)

Signed-off-by: Kartavya Sonar <sonarkartavya@gmail.com>
Signed-off-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
bnellnm pushed a commit to neuralmagic/vllm that referenced this pull request Jun 4, 2026
…supported arch (vllm-project#43669)

Signed-off-by: Kartavya Sonar <sonarkartavya@gmail.com>
andakai pushed a commit to andakai/vllm that referenced this pull request Jun 4, 2026
…supported arch (vllm-project#43669)

Signed-off-by: Kartavya Sonar <sonarkartavya@gmail.com>
JisoLya pushed a commit to JisoLya/vllm that referenced this pull request Jun 5, 2026
…supported arch (vllm-project#43669)

Signed-off-by: Kartavya Sonar <sonarkartavya@gmail.com>
Signed-off-by: JisoLya <523420504@qq.com>
knight0528 pushed a commit to knight0528/vllm that referenced this pull request Jun 8, 2026
…supported arch (vllm-project#43669)

Signed-off-by: Kartavya Sonar <sonarkartavya@gmail.com>
waqahmed-amd-fi pushed a commit to waqahmed-amd-fi/vllm that referenced this pull request Jun 10, 2026
…supported arch (vllm-project#43669)

Signed-off-by: Kartavya Sonar <sonarkartavya@gmail.com>
Signed-off-by: Waqar Ahmed <waqar.ahmed@amd.com>
divineearthly pushed a commit to divineearthly/vllm that referenced this pull request Jun 19, 2026
…supported arch (vllm-project#43669)

Signed-off-by: Kartavya Sonar <sonarkartavya@gmail.com>
Signed-off-by: divineearthly <divineearthly@gmail.com>
nkzhenhua pushed a commit to nkzhenhua/vllm that referenced this pull request Jun 24, 2026
…supported arch (vllm-project#43669)

Signed-off-by: Kartavya Sonar <sonarkartavya@gmail.com>
MingqiWang-coder added a commit to vLLM-HUST/vllm-hust that referenced this pull request Jun 30, 2026
Cherry-pick 62 bugfix/security PRs from upstream vllm-project/vllm main
(2026-05-03 to 2026-06-17), covering scheduler, engine core, model runner,
worker, attention, KV cache, compilation, and structured output fixes.

Security (4): vllm-project#43286 vllm-project#44744 vllm-project#45118 vllm-project#45252
Bugfix (56): vllm-project#35536 vllm-project#36616 vllm-project#38895 vllm-project#39155 vllm-project#39324 vllm-project#39562 vllm-project#39805 vllm-project#40398 vllm-project#40726
vllm-project#40727 vllm-project#40737 vllm-project#40749 vllm-project#40961 vllm-project#41119 vllm-project#41133 vllm-project#41233 vllm-project#41237 vllm-project#41411 vllm-project#41496 vllm-project#41549
vllm-project#41674 vllm-project#41873 vllm-project#41895 vllm-project#42040 vllm-project#42112 vllm-project#42289 vllm-project#42479 vllm-project#42585 vllm-project#42692 vllm-project#42706 vllm-project#42709
vllm-project#42739 vllm-project#42967 vllm-project#43001 vllm-project#43079 vllm-project#43125 vllm-project#43160 vllm-project#43616 vllm-project#43669 vllm-project#43719 vllm-project#43768 vllm-project#43808
vllm-project#43961 vllm-project#43982 vllm-project#43988 vllm-project#43998 vllm-project#44057 vllm-project#44560 vllm-project#44574 vllm-project#44568 vllm-project#44603 vllm-project#44744 vllm-project#45195
vllm-project#45345 vllm-project#45383 vllm-project#45487 vllm-project#45564 vllm-project#45673
Runner fix (2): vllm-project#44568 vllm-project#44603

Skipped: vllm-project#43781 (ROCm-specific, not applicable to Ascend NPU)

Conflict resolutions:
- Manual merge: vllm-project#43286 vllm-project#45118 vllm-project#42112 vllm-project#43160 vllm-project#43719 vllm-project#44560
- Upstream-preferred (-X theirs): vllm-project#43808 vllm-project#43988 vllm-project#42967 vllm-project#35536 vllm-project#45195
- Test files (--theirs): vllm-project#44744 vllm-project#41895 vllm-project#42040 vllm-project#41233 vllm-project#45345 vllm-project#43982

Co-authored-by: GitHub Copilot
Signed-off-by: MingqiWang-coder <mingqiwang@hust.edu.cn>
MingqiWang-coder added a commit to vLLM-HUST/vllm-hust that referenced this pull request Jun 30, 2026
Cherry-pick 62 bugfix/security PRs from upstream vllm-project/vllm main
(2026-05-03 to 2026-06-17), covering scheduler, engine core, model runner,
worker, attention, KV cache, compilation, and structured output fixes.

Security (4): vllm-project#43286 vllm-project#44744 vllm-project#45118 vllm-project#45252
Bugfix (56): vllm-project#35536 vllm-project#36616 vllm-project#38895 vllm-project#39155 vllm-project#39324 vllm-project#39562 vllm-project#39805 vllm-project#40398 vllm-project#40726
vllm-project#40727 vllm-project#40737 vllm-project#40749 vllm-project#40961 vllm-project#41119 vllm-project#41133 vllm-project#41233 vllm-project#41237 vllm-project#41411 vllm-project#41496 vllm-project#41549
vllm-project#41674 vllm-project#41873 vllm-project#41895 vllm-project#42040 vllm-project#42112 vllm-project#42289 vllm-project#42479 vllm-project#42585 vllm-project#42692 vllm-project#42706 vllm-project#42709
vllm-project#42739 vllm-project#42967 vllm-project#43001 vllm-project#43079 vllm-project#43125 vllm-project#43160 vllm-project#43616 vllm-project#43669 vllm-project#43719 vllm-project#43768 vllm-project#43808
vllm-project#43961 vllm-project#43982 vllm-project#43988 vllm-project#43998 vllm-project#44057 vllm-project#44560 vllm-project#44574 vllm-project#44568 vllm-project#44603 vllm-project#44744 vllm-project#45195
vllm-project#45345 vllm-project#45383 vllm-project#45487 vllm-project#45564 vllm-project#45673
Runner fix (2): vllm-project#44568 vllm-project#44603

Skipped: vllm-project#43781 (ROCm-specific, not applicable to Ascend NPU)

Conflict resolutions:
- Manual merge: vllm-project#43286 vllm-project#45118 vllm-project#42112 vllm-project#43160 vllm-project#43719 vllm-project#44560
- Upstream-preferred (-X theirs): vllm-project#43808 vllm-project#43988 vllm-project#42967 vllm-project#35536 vllm-project#45195
- Test files (--theirs): vllm-project#44744 vllm-project#41895 vllm-project#42040 vllm-project#41233 vllm-project#45345 vllm-project#43982

Co-authored-by: GitHub Copilot
Signed-off-by: MingqiWang-coder <mingqiwang@hust.edu.cn>
philippesic pushed a commit to philippesic/vllm-semantic-cache that referenced this pull request Jul 19, 2026
…supported arch (vllm-project#43669)

Signed-off-by: Kartavya Sonar <sonarkartavya@gmail.com>
plasticchris pushed a commit to plasticchris/vllm that referenced this pull request Jul 20, 2026
…supported arch (vllm-project#43669)

Signed-off-by: Kartavya Sonar <sonarkartavya@gmail.com>
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[Bug]: --kv-cache-dtype nvfp4 crashes at first request on SM120 instead of failing fast at init

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