use CUDA 13 for third-party integration tests (#20748)

Contributes to rapidsai/build-planning#208

Reverts #19903 and #19917 

Now that there are `xgboost` conda packages with CUDA 13 support (rapidsai/xgboost-feedstock#100), switches the `third-party-integration-tests-cudf-pandas` to use CUDA 13.

This also switches to the more generic CI Image tags (`rapidsai/26.02-latest`), so that configuration doesn't need to be updated as RAPIDS adds support for new minor  versions of CUDA.

Authors:
  - James Lamb (https://github.com/jameslamb)

Approvers:
  - Bradley Dice (https://github.com/bdice)

URL: #20748

Author: jameslamb

.github/workflows/pr.yaml

@@ -390,8 +390,7 @@ jobs:
       sha: ${{ inputs.sha }}
       node_type: "gpu-l4-latest-1"
       continue-on-error: true
-      # TODO: Switch to ci-conda:25-10-latest when XGBoost has CUDA 13 packages
-      container_image: "rapidsai/ci-conda:26.02-cuda12.9.1-ubuntu24.04-py3.13"
+      container_image: "rapidsai/ci-conda:26.02-latest"
       script: |
         ci/cudf_pandas_scripts/third-party-integration/test.sh python/cudf/cudf_pandas_tests/third_party_integration_tests/dependencies.yaml
   pandas-tests:

.github/workflows/test.yaml

@@ -146,8 +146,7 @@ jobs:
       date: ${{ inputs.date }}
       sha: ${{ inputs.sha }}
       node_type: "gpu-l4-latest-1"
-      # TODO: Switch to ci-conda:25-10-latest when XGBoost has CUDA 13 packages
-      container_image: "rapidsai/ci-conda:26.02-cuda12.9.1-ubuntu24.04-py3.13"
+      container_image: "rapidsai/ci-conda:26.02-latest"
       script: |
         ci/cudf_pandas_scripts/third-party-integration/test.sh python/cudf/cudf_pandas_tests/third_party_integration_tests/dependencies.yaml
       continue-on-error: true