diff --git a/cmake/external_projects/vllm_flash_attn.cmake b/cmake/external_projects/vllm_flash_attn.cmake
index 97a8cfe87b..28a6b336e2 100644
--- a/cmake/external_projects/vllm_flash_attn.cmake
+++ b/cmake/external_projects/vllm_flash_attn.cmake
@@ -39,7 +39,7 @@ else()
   FetchContent_Declare(
           vllm-flash-attn
           GIT_REPOSITORY https://github.com/vllm-project/flash-attention.git
-          GIT_TAG bb9a72e7dde0dc614ffc663e052cd6a19ce73a42
+          GIT_TAG caaa4eb59845388a20b1f435ecaafb4bd9517ad8
           GIT_PROGRESS TRUE
           # Don't share the vllm-flash-attn build between build types
           BINARY_DIR ${CMAKE_BINARY_DIR}/vllm-flash-attn
diff --git a/docker/Dockerfile b/docker/Dockerfile
index 1263bff436..f008fd29e1 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -248,10 +248,6 @@ COPY requirements/common.txt requirements/common.txt
 COPY requirements/cuda.txt requirements/cuda.txt
 COPY use_existing_torch.py use_existing_torch.py
 COPY pyproject.toml pyproject.toml
-# nvidia-cutlass-dsl[cu13] installs -libs-base and -libs-cu13 wheels that
-# share paths with different content. uv can extract them in either order,
-# leaving base files that break CUDA 13 CuTe DSL JIT.
-# TODO(mmangkad): Remove this after NVIDIA/cutlass#3259 is fixed.
 RUN --mount=type=cache,target=/opt/uv/cache \
     if [ "$(echo $CUDA_VERSION | cut -d. -f1)" = "12" ]; then \
         sed -i 's/^nvidia-cutlass-dsl\[cu13\]/nvidia-cutlass-dsl/' requirements/cuda.txt; \
@@ -268,13 +264,6 @@ RUN --mount=type=cache,target=/opt/uv/cache \
     else \
         uv pip install --python /opt/venv/bin/python3 -r requirements/cuda.txt \
         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.'); \
-    fi \
-    && if [ "$(echo $CUDA_VERSION | cut -d. -f1)" = "13" ]; then \
-        CUTLASS_DSL_VERSION=$(uv pip show --python /opt/venv/bin/python3 nvidia-cutlass-dsl 2>/dev/null | awk '/^Version:/{print $2}') && \
-        if [ -n "$CUTLASS_DSL_VERSION" ]; then \
-            uv pip install --python /opt/venv/bin/python3 --force-reinstall --no-deps \
-                "nvidia-cutlass-dsl-libs-cu13==${CUTLASS_DSL_VERSION}"; \
-        fi; \
     fi
 
 # Track PyTorch lib versions used during build and match in downstream instances.
@@ -792,10 +781,6 @@ ENV VLLM_ENABLE_CUDA_COMPATIBILITY=0
 ARG PYTORCH_CUDA_INDEX_BASE_URL
 COPY requirements/common.txt /tmp/common.txt
 COPY requirements/cuda.txt /tmp/requirements-cuda.txt
-# nvidia-cutlass-dsl[cu13] installs -libs-base and -libs-cu13 wheels that
-# share paths with different content. uv can extract them in either order,
-# leaving base files that break CUDA 13 CuTe DSL JIT.
-# TODO(mmangkad): Remove this after NVIDIA/cutlass#3259 is fixed.
 RUN --mount=type=cache,target=/opt/uv/cache \
     if [ "$(echo $CUDA_VERSION | cut -d. -f1)" = "12" ]; then \
         sed -i 's/^nvidia-cutlass-dsl\[cu13\]/nvidia-cutlass-dsl/' /tmp/requirements-cuda.txt; \
@@ -803,13 +788,6 @@ RUN --mount=type=cache,target=/opt/uv/cache \
     fi && \
     uv pip install --system -r /tmp/requirements-cuda.txt \
         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.') && \
-    if [ "$(echo $CUDA_VERSION | cut -d. -f1)" = "13" ]; then \
-        CUTLASS_DSL_VERSION=$(uv pip show --system nvidia-cutlass-dsl 2>/dev/null | awk '/^Version:/{print $2}') && \
-        if [ -n "$CUTLASS_DSL_VERSION" ]; then \
-            uv pip install --system --force-reinstall --no-deps \
-                "nvidia-cutlass-dsl-libs-cu13==${CUTLASS_DSL_VERSION}"; \
-        fi; \
-    fi && \
     rm /tmp/requirements-cuda.txt /tmp/common.txt
 
 # Install FlashInfer JIT cache (requires CUDA-version-specific index URL)
@@ -908,19 +886,6 @@ RUN --mount=type=bind,from=build,src=/tmp/ep_kernels_workspace/dist,target=/vllm
     uv pip install --system ep_kernels/dist/*.whl --verbose \
         --extra-index-url ${PYTORCH_CUDA_INDEX_BASE_URL}/cu$(echo $CUDA_VERSION | cut -d. -f1,2 | tr -d '.')
 
-# nvidia-cutlass-dsl[cu13] installs -libs-base and -libs-cu13 wheels that
-# share paths with different content. Force -libs-cu13 last after runtime
-# dependency installs so uv cannot leave base files behind.
-# TODO(mmangkad): Remove this after NVIDIA/cutlass#3259 is fixed.
-RUN --mount=type=cache,target=/opt/uv/cache \
-    if [ "$(echo $CUDA_VERSION | cut -d. -f1)" = "13" ]; then \
-        CUTLASS_DSL_VERSION=$(uv pip show --system nvidia-cutlass-dsl 2>/dev/null | awk '/^Version:/{print $2}') && \
-        if [ -n "$CUTLASS_DSL_VERSION" ]; then \
-            uv pip install --system --force-reinstall --no-deps \
-                "nvidia-cutlass-dsl-libs-cu13==${CUTLASS_DSL_VERSION}"; \
-        fi; \
-    fi
-
 # CUDA image changed from /usr/local/nvidia to /usr/local/cuda in 12.8 but will
 # return to /usr/local/nvidia in 13.0 to allow container providers to mount drivers
 # consistently from the host (see https://github.com/vllm-project/vllm/issues/18859).
diff --git a/requirements/cuda.txt b/requirements/cuda.txt
index 766acb0204..3b8ff816f1 100644
--- a/requirements/cuda.txt
+++ b/requirements/cuda.txt
@@ -16,7 +16,7 @@ PyNvVideoCodec==2.0.4
 --extra-index-url https://flashinfer.ai/whl/
 flashinfer-python==0.6.14
 flashinfer-cubin==0.6.14
-apache-tvm-ffi==0.1.9
+apache-tvm-ffi==0.1.10
 tilelang==0.1.9
 nvidia-cudnn-frontend>=1.19.1
 # Required for LLM_NVTX_SCOPES_FOR_PROFILING=1
@@ -25,7 +25,7 @@ nvtx==0.2.15
 fastsafetensors >= 0.3.2
 
 # QuACK and Cutlass DSL for FA4 (cute-DSL implementation)
-nvidia-cutlass-dsl[cu13]==4.5.2
+nvidia-cutlass-dsl[cu13]==4.6.0
 quack-kernels>=0.4.0  # Required for tml-fa4
 
 # Tokenspeed_MLA for faster mla with spec decode
diff --git a/requirements/test/cuda.txt b/requirements/test/cuda.txt
index 7fa6378743..e4da9ac06e 100644
--- a/requirements/test/cuda.txt
+++ b/requirements/test/cuda.txt
@@ -43,7 +43,7 @@ anyio==4.14.1
     #   sse-starlette
     #   starlette
     #   watchfiles
-apache-tvm-ffi==0.1.9
+apache-tvm-ffi==0.1.10
     # via
     #   -c requirements/cuda.txt
     #   xgrammar
diff --git a/tests/entrypoints/pooling/scoring/test_cross_encoder_online_vision.py b/tests/entrypoints/pooling/scoring/test_cross_encoder_online_vision.py
index c6663dbdff..8c1d75cd76 100644
--- a/tests/entrypoints/pooling/scoring/test_cross_encoder_online_vision.py
+++ b/tests/entrypoints/pooling/scoring/test_cross_encoder_online_vision.py
@@ -47,6 +47,7 @@ BACKEND_TOL: dict[str, float] = {
 # TRITON_ATTN: gfx942/ROCm 7.2 drifts ~0.008 abs on text-vs-text (~7.9% rel).
 BACKEND_ABS_TOL: dict[str, float] = {
     "default": 0.0,
+    "auto": 0.007,
     "ROCM_AITER_FA": 0.005,
     "TRITON_ATTN": 0.009,
     "FLEX_ATTENTION": 0.006,
diff --git a/vllm/model_executor/layers/mamba/gdn/qwen_gdn_linear_attn.py b/vllm/model_executor/layers/mamba/gdn/qwen_gdn_linear_attn.py
index 9e286c692d..2f08d9a67b 100644
--- a/vllm/model_executor/layers/mamba/gdn/qwen_gdn_linear_attn.py
+++ b/vllm/model_executor/layers/mamba/gdn/qwen_gdn_linear_attn.py
@@ -2,7 +2,6 @@
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 """Inference-only Qwen3-Next/Qwen3.5 model."""
 
-import functools
 from typing import Literal
 
 import torch
@@ -83,70 +82,6 @@ if GDN_AITER_TRITON_AVAILABLE:
 logger = init_logger(__name__)
 
 
-# TODO(arpera): remove ``_is_libs_cu13_install_intact`` and its caller in
-# ``_resolve_gdn_prefill_backend`` once the upstream packaging bug is
-# fixed and the broken wheels are yanked / superseded on PyPI:
-#   https://github.com/NVIDIA/cutlass/issues/3170
-#   https://github.com/NVIDIA/cutlass/issues/3259
-@functools.cache
-def _is_libs_cu13_install_intact() -> bool:
-    """Return True if every file installed by ``nvidia-cutlass-dsl-libs-cu13``
-    matches the SHA-256 declared in its wheel ``RECORD``.
-
-    ``nvidia-cutlass-dsl-libs-base`` and ``nvidia-cutlass-dsl-libs-cu13``
-    both ship into the shared ``nvidia_cutlass_dsl/`` namespace and
-    write many of the same on-disk paths (the runtime ``.so``, the MLIR
-    Python bindings, cuTe-DSL Python sources, ...) with different
-    content. Whichever wheel extracts last wins; with a parallel
-    installer (e.g. ``uv``) the order is racy and the resulting venv
-    can end up with a mix of files from both variants. The
-    ``-libs-base`` variant fails MLIR legalization when JIT-compiling
-    the FlashInfer Blackwell GDN prefill kernel, and any other
-    cuTe-DSL-based kernel can break too if on-disk files diverge from
-    what ``-libs-cu13``'s wheel expects. Tracked upstream at:
-
-      * https://github.com/NVIDIA/cutlass/issues/3170
-      * https://github.com/NVIDIA/cutlass/issues/3259
-
-    This helper re-hashes every file the ``-libs-cu13`` wheel claims to
-    own and compares against its declared SHA-256. Returns False on any
-    error (uninstalled, missing RECORD, missing file, hash mismatch).
-    Result is cached per-process.
-    """
-    import hashlib
-    import importlib.metadata
-
-    import pybase64 as base64
-
-    try:
-        dist = importlib.metadata.distribution("nvidia-cutlass-dsl-libs-cu13")
-    except importlib.metadata.PackageNotFoundError:
-        return False
-
-    files = dist.files
-    if not files:
-        return False
-
-    for pkg_path in files:
-        file_hash = pkg_path.hash
-        # Skip RECORD rows without a hash (RECORD itself, generated
-        # ``.pyc`` files, ...) and any non-SHA-256 hash modes.
-        if file_hash is None or not file_hash.value:
-            continue
-        if file_hash.mode != "sha256":
-            continue
-        try:
-            with open(pkg_path.locate(), "rb") as f:
-                digest = hashlib.sha256(f.read()).digest()
-        except OSError:
-            return False
-        actual = base64.urlsafe_b64encode(digest).decode().rstrip("=")
-        if actual != file_hash.value:
-            return False
-
-    return True
-
-
 def _resolve_gdn_prefill_backend(
     vllm_config: VllmConfig,
 ) -> tuple[str, Literal["triton", "flashinfer", "cutedsl"]]:
@@ -157,9 +92,7 @@ def _resolve_gdn_prefill_backend(
     * ``platform == cuda``;
     * one of the following:
       - Hopper (SM90) — no further constraints;
-      - Blackwell (SM10.x) with ``head_k_dim == 128``, ``cuda_runtime >= 13``,
-        and an intact ``nvidia-cutlass-dsl-libs-cu13`` install on disk
-        (see :func:`_is_libs_cu13_install_intact`).
+      - Blackwell (SM10.x) with ``head_k_dim == 128``, ``cuda_runtime >= 13``.
 
     In-tree CuteDSL GDN prefill kernel is chosen when:
     * "cutedsl" is requested; (opt-in only)
@@ -190,19 +123,8 @@ def _resolve_gdn_prefill_backend(
         and head_k_dim == 128
         and current_platform.get_cuda_runtime_major() >= 13
     ):
-        supports_flashinfer = _is_libs_cu13_install_intact()
+        supports_flashinfer = True
         supports_cutedsl = True
-        if not supports_flashinfer:
-            logger.warning_once(
-                "FlashInfer Blackwell GDN requires an intact nvidia-cutlass-dsl"
-                "-libs-cu13 install, but some on-disk files do not match the "
-                "SHA-256 declared in its RECORD (install-order race in "
-                "nvidia-cutlass-dsl packaging -- see "
-                "https://github.com/NVIDIA/cutlass/issues/3170 and "
-                "https://github.com/NVIDIA/cutlass/issues/3259). Falling back "
-                "to Triton/FLA. Repair with: pip install --force-reinstall "
-                "--no-deps nvidia-cutlass-dsl-libs-cu13"
-            )
 
     if backend in ["flashinfer", "auto"] and supports_flashinfer:
         return backend, "flashinfer"
diff --git a/vllm/vllm_flash_attn/flash_attn_interface.py b/vllm/vllm_flash_attn/flash_attn_interface.py
index bef811f6e6..fc4948d0e9 100644
--- a/vllm/vllm_flash_attn/flash_attn_interface.py
+++ b/vllm/vllm_flash_attn/flash_attn_interface.py
@@ -388,7 +388,7 @@ def flash_attn_varlen_func(
 
         from vllm.vllm_flash_attn.cute.interface import _flash_attn_fwd
 
-        out, softmax_lse = _flash_attn_fwd(
+        out, softmax_lse, _, _ = _flash_attn_fwd(
             q,
             k,
             v,