diff --git a/.github/workflows/native-builds.yaml b/.github/workflows/native-builds.yaml
index 43de6f354..e55550fce 100644
--- a/.github/workflows/native-builds.yaml
+++ b/.github/workflows/native-builds.yaml
@@ -11,6 +11,7 @@ concurrency:
 jobs:
   pixi:
     strategy:
+      fail-fast: false
       matrix:
         platform:
           - ubuntu-latest
@@ -28,6 +29,11 @@ jobs:
     - name: Install environment
       run: pixi install --locked
     - name: Build SuperBuild
+      # The SuperBuild nests ninja inside ninja. Uncapped, each level runs
+      # cores+2 jobs and ~30 compilers exhaust the 16 GB runner. cmake
+      # --build honours this at both levels, so 3 bounds the total at 9.
+      env:
+        CMAKE_BUILD_PARALLEL_LEVEL: 3
       run: pixi run build
     - name: Test
       run: pixi run test
diff --git a/.github/workflows/publish-windows.yml b/.github/workflows/publish-windows.yml
index 04ef6d569..256b34dd8 100644
--- a/.github/workflows/publish-windows.yml
+++ b/.github/workflows/publish-windows.yml
@@ -35,6 +35,7 @@ jobs:
       with:
         pixi-version: latest
         locked: true
+        cache: false
         # The build env (gpu) and the shipped runtime env (gpu-prod) are both needed.
         environments: >-
           gpu
diff --git a/pixi.lock b/pixi.lock
index d9021664c..31b99daea 100644
--- a/pixi.lock
+++ b/pixi.lock
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@@ -2448,7 +2431,6 @@ environments:
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-  size: 140635
-  timestamp: 1761099467954
 - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvrtc-12.9.86-hac47afa_1.conda
   sha256: d90ef446ac859db26286a5d39d39333c4e4cee31ba5042b5c7922bd25de531f6
   md5: d68b5d96a53c80dc3dbbd8f7c3b8106d
@@ -25180,21 +24974,6 @@ packages:
   run_exports: {}
   size: 40286977
   timestamp: 1753975898550
-- conda: https://conda.anaconda.org/conda-forge/win-64/cuda-nvvp-12.9.79-he0c23c2_0.conda
-  sha256: 1fa85d6a61118e9774057db75c47e372829a3ed1eb78de4061637489e9cb2a62
-  md5: eba62b15cf9b5aaeb13ce0a2d5dc21a5
-  depends:
-  - cuda-nvdisasm
-  - cuda-nvprof
-  - cuda-version >=12.9,<12.10.0a0
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  license: LicenseRef-NVIDIA-End-User-License-Agreement
-  purls: []
-  run_exports: {}
-  size: 116930297
-  timestamp: 1749227862869
 - conda: https://conda.anaconda.org/conda-forge/win-64/cuda-opencl-12.9.19-he0c23c2_0.conda
   sha256: 6aa9d5b440dcccc8e4783690b8fd7b01738ad586de900a92368b4672a7f64170
   md5: e25af2e8f683797bc89fdab4e0a27982
@@ -25236,43 +25015,6 @@ packages:
   run_exports: {}
   size: 24150
   timestamp: 1761098813665
-- conda: https://conda.anaconda.org/conda-forge/win-64/cuda-sanitizer-api-12.9.79-hac47afa_1.conda
-  sha256: 8d6fc8fb64010e73998804c4f363dc9fb1bf490749f452e635499c3310c4ab59
-  md5: 0bcfc1f3e847a3eec81b7e11f7d25dbe
-  depends:
-  - cuda-version >=12.9,<12.10.0a0
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.44.35208
-  license: LicenseRef-NVIDIA-End-User-License-Agreement
-  purls: []
-  run_exports: {}
-  size: 6894749
-  timestamp: 1761099083030
-- conda: https://conda.anaconda.org/conda-forge/win-64/cuda-tools-12.9.2-h57928b3_0.conda
-  sha256: a250de15ab96e480a6841489e853288110974126c36b8628b8609c345cb459e6
-  md5: 126ceb3d6d8755ded6843e1dcd16d536
-  depends:
-  - cuda-command-line-tools 12.9.2.*
-  - cuda-visual-tools 12.9.2.*
-  license: LicenseRef-NVIDIA-End-User-License-Agreement
-  purls: []
-  run_exports: {}
-  size: 21187
-  timestamp: 1778787131760
-- conda: https://conda.anaconda.org/conda-forge/win-64/cuda-visual-tools-12.9.2-h57928b3_0.conda
-  sha256: 5a9d03a5a1bfca342006d894708f5c0c9a095dee31042d3d8626778b4d294c53
-  md5: e1309777247404f1a3c8b844a017ff4e
-  depends:
-  - cuda-libraries-dev 12.9.2.*
-  - cuda-nvml-dev 12.9.79.*
-  - cuda-nvvp 12.9.79.*
-  - nsight-compute 2025.2.1.3.*
-  license: LicenseRef-NVIDIA-End-User-License-Agreement
-  purls: []
-  run_exports: {}
-  size: 21244
-  timestamp: 1778781652428
 - conda: https://conda.anaconda.org/conda-forge/win-64/cudnn-9.10.2.21-h32ff316_0.conda
   sha256: 8e727adf8d32b1c3bc84a0c2b4904a83971560dfe4d9303884c339490e236fac
   md5: 2b9bf7a6501798aabdf6de27c962a3b6
@@ -28693,28 +28435,6 @@ packages:
   run_exports: {}
   size: 536598
   timestamp: 1684336623365
-- conda: https://conda.anaconda.org/conda-forge/win-64/nsight-compute-2025.2.1.3-h5173278_0.conda
-  sha256: 8f10680d9dfd5233e37ad0201fec7811fbec676373f82f0126a056bd274e65c5
-  md5: e49a5678c1972c231d40394baa58a41d
-  depends:
-  - cuda-version >=12.9,<12.10.0a0
-  - fontconfig >=2.15.0,<3.0a0
-  - fonts-conda-ecosystem
-  - krb5 >=1.21.3,<1.22.0a0
-  - libexpat >=2.7.0,<3.0a0
-  - libfreetype >=2.13.3
-  - libfreetype6 >=2.13.3
-  - libglib >=2.84.2,<3.0a0
-  - libxcb >=1.17.0,<2.0a0
-  - libzlib >=1.3.1,<2.0a0
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  license: LicenseRef-NVIDIA-End-User-License-Agreement
-  purls: []
-  run_exports: {}
-  size: 268890162
-  timestamp: 1749222379438
 - conda: https://conda.anaconda.org/conda-forge/win-64/numpy-2.3.2-py312ha72d056_2.conda
   sha256: 86591a692a02eafcc33d4f35b26b53471dd8ab53492a58052461d5da037806c3
   md5: d98b7ec5211b2e197e7e0991757116cb
@@ -29824,24 +29544,6 @@ packages:
   run_exports: {}
   size: 21386
   timestamp: 1785359368990
-- conda: https://conda.anaconda.org/conda-forge/win-64/vs2019_win-64-19.29.30139-h7dcff83_41.conda
-  sha256: 45d2d3bde6d619a424d61c6b2c9cea1d37b8c1b55b910ad7293ccc367ab98125
-  md5: 8cddf0c44bd1cd5efc1ad00380aa6c8c
-  depends:
-  - vswhere
-  constrains:
-  - vs_win-64 2019.11
-  track_features:
-  - vc14
-  license: BSD-3-Clause
-  purls: []
-  run_exports:
-    strong:
-    - vc >=14.2,<15
-    - vc14_runtime >=14.29.30139
-    - ucrt >=10.0.20348.0
-  size: 25454
-  timestamp: 1785358720536
 - conda: https://conda.anaconda.org/conda-forge/win-64/vs2022_win-64-19.44.35207-ha74f236_41.conda
   sha256: 9d7d1b43cf4af5a8e8b1646175c9f899ffbcab189a33ac41127a96e7bcf41af0
   md5: 04190e0ebd886433300ce9343ee98942
diff --git a/pixi.toml b/pixi.toml
index 97d5a0f5f..8967db171 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -77,9 +77,17 @@ vs2022_win-64 = "*"
 [feature.gpu.activation]
 env = { ODM_ENABLE_CUDA = "ON" }
 
-[feature.gpu-build.dependencies]
+[feature.gpu-build.target.linux-64.dependencies]
 cuda-toolkit = "12.*"
 
+# cuda-toolkit pulls in cuda-nvcc, whose win-64 build depends on vs2019_win-64.
+# That package's activation runs vcvars a second time on top of vs2022_win-64's,
+# and the PATH it leaves exceeds the 8191 bytes cmd.exe accepts, so nvcc's
+# cl.exe lookup fails. cuda-nvcc_win-64 is the compiler without that pin.
+[feature.gpu-build.target.win-64.dependencies]
+cuda-nvcc_win-64 = "12.*"
+cuda-libraries-dev = "12.*"
+
 [feature.gpu.dependencies]
 onnxruntime = { version = "==1.22.2", build = "*cuda*" }
 
diff --git a/scripts/activate-msvc.bat b/scripts/activate-msvc.bat
index c6fd57fb1..9af73013d 100644
--- a/scripts/activate-msvc.bat
+++ b/scripts/activate-msvc.bat
@@ -1,20 +1,17 @@
 @echo off
 
-set "VSWHERE=%CONDA_PREFIX%\Library\bin\vswhere.exe"
+rem This script configures windows so that it builds with Ninja.
+rem It assumes all pixi depencency activation scripts have already run.
 
-set "VSINSTALLDIR="
-for /f "usebackq delims=" %%i in (`"%VSWHERE%" -latest -products * -requires Microsoft.VisualStudio.Component.VC.Tools.x86.x64 -property installationPath`) do (
-  set "VSINSTALLDIR=%%i"
-)
+rem No compiler in this environment so return early.
+if not exist "%CONDA_PREFIX%\etc\conda\activate.d\vs2022_compiler_vars.bat" exit /b 0
 
-if not defined VSINSTALLDIR (
+if not defined VCToolsInstallDir (
   echo ERROR: No Visual Studio installation with C++ tools found.
   echo Install VS 2022 or Build Tools with "Desktop development with C++" and Windows SDK.
   exit /b 1
 )
 
-call "%VSINSTALLDIR%\Common7\Tools\VsDevCmd.bat" -arch=amd64
-
 rem Conda compiler-rt sets clang -Wl flags that break MSVC link.exe
 set "LDFLAGS="
 set "CXXFLAGS="