[CI] Upgrade CI image to use Rapids 25.10

.github/workflows/main.yml

@@ -76,24 +76,6 @@ jobs:
             --prefix cache/${{ github.run_id }}/build-cuda-with-rmm \
             build/testxgboost
 
-  build-cuda-with-rmm-dev:
-    name: Build CUDA with RMM (dev)
-    runs-on:
-      - runs-on=${{ github.run_id }}
-      - runner=linux-amd64-cpu
-      - tag=main-build-cuda-with-rmm-dev
-    steps:
-      # Restart Docker daemon so that it recognizes the ephemeral disks
-      - run: sudo systemctl restart docker
-      - uses: actions/checkout@v4
-        with:
-          submodules: "true"
-      - name: Log into Docker registry (AWS ECR)
-        run: bash ops/pipeline/login-docker-registry.sh
-      - run: |
-          bash ops/pipeline/build-cuda.sh \
-            xgb-ci.gpu_build_rockylinux8_dev_ver enable-rmm
-
   build-python-wheels-arm64:
     name: Build manylinux_2_28_aarch64 wheel
     runs-on:

tests/python-gpu/test_from_cudf.py

@@ -405,7 +405,7 @@ def test_invalid_meta() -> None:
     y = X.copy()
     y.iloc[0, 0] = None
     # check by the cuDF->cupy converter.
-    with pytest.raises(ValueError, match="no nulls"):
+    with pytest.raises(ValueError, match="Label contains NaN"):
         xgb.DMatrix(X, y)
-    with pytest.raises(ValueError, match="no nulls"):
+    with pytest.raises(ValueError, match="Label contains NaN"):
         xgb.QuantileDMatrix(X, y)