diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml
index 6078dc8..b7cc764 100644
--- a/.github/workflows/build.yaml
+++ b/.github/workflows/build.yaml
@@ -64,7 +64,7 @@ jobs:
     with:
       build_type: ${{ inputs.build_type || 'branch' }}
       build-datetime: ${{ needs.build-details.outputs.build-datetime }}
-      node_type: cpu16
+      node_type: cpu8
       branch: ${{ inputs.branch }}
       date: ${{ inputs.date }}
       script: ci/build_cpp.sh
@@ -172,7 +172,7 @@ jobs:
       branch: ${{ inputs.branch }}
       sha: ${{ inputs.sha }}
       date: ${{ inputs.date }}
-      node_type: cpu16
+      node_type: cpu8
       script: ci/build_wheel_libnvforest.sh
       # build for every combination of arch and CUDA version, but only for the latest Python
       matrix_filter: group_by([.ARCH, (.CUDA_VER|split(".")|map(tonumber)|.[0])]) | map(max_by(.PY_VER|split(".")|map(tonumber)))
diff --git a/.github/workflows/pr.yaml b/.github/workflows/pr.yaml
index 80825f8..eca58b1 100644
--- a/.github/workflows/pr.yaml
+++ b/.github/workflows/pr.yaml
@@ -228,7 +228,7 @@ jobs:
     with:
       build_type: pull-request
       build-datetime: ${{ needs.build-details.outputs.build-datetime }}
-      node_type: cpu16
+      node_type: cpu8
       arch: "amd64"
       container_image: "rapidsai/ci-conda:26.12-latest"
       script: "env NVFOREST_EXTRA_CMAKE_ARGS=-DNVFOREST_ENABLE_GPU=OFF ci/build_cpp.sh"
@@ -245,7 +245,7 @@ jobs:
     with:
       build_type: pull-request
       build-datetime: ${{ needs.build-details.outputs.build-datetime }}
-      node_type: cpu16
+      node_type: cpu8
       script: ci/build_cpp.sh
   conda-cpp-tests:
     needs: [conda-cpp-build, changed-files]
@@ -367,7 +367,7 @@ jobs:
       branch: ${{ inputs.branch }}
       sha: ${{ inputs.sha }}
       date: ${{ inputs.date }}
-      node_type: cpu16
+      node_type: cpu8
       script: ci/build_wheel_libnvforest.sh
       # build for every combination of arch and CUDA version, but only for the latest Python
       matrix_filter: group_by([.ARCH, (.CUDA_VER|split(".")|map(tonumber)|.[0])]) | map(max_by(.PY_VER|split(".")|map(tonumber)))