Updates for 24.04 release (#372)

Co-authored-by: Bradley Dice <bdice@bradleydice.com>

layouts/index.html

@@ -42,7 +42,7 @@
     "url" "/cudf-pandas"
     )
     (dict
-        "text" "RAPIDS 24.02 Released"
+        "text" "RAPIDS 24.04 Released"
         "url" "https://docs.rapids.ai/install#selector"
     )
     (dict
@@ -125,7 +125,7 @@ <h2 class="text-white"><i class="fa-light fa-gauge-circle-bolt"></i> Pandas Acce
                 <div class="col-md-4 py-3">
                     <h2><i class="fa-thin fa-objects-column"></i> Faster Pandas <br> with cuDF</h2>
                     <p>cuDF accelerates pandas with no code change and brings greatly improved performance.</p> <br>
-                    <a href="https://github.com/rapidsai/cudf/blob/branch-24.02/docs/cudf/source/user_guide/performance-comparisons/performance-comparisons.ipynb"
+                    <a href="https://github.com/rapidsai/cudf/blob/branch-24.04/docs/cudf/source/user_guide/performance-comparisons/performance-comparisons.ipynb"
                         target="_blank">Run this benchmark yourself <i class="fa-solid fa-arrow-up-right"></i> </a>
 
                     <canvas id="cuDFchart" width="400" height="350"></canvas>
@@ -135,7 +135,7 @@ <h2><i class="fa-thin fa-objects-column"></i> Faster Pandas <br> with cuDF</h2>
                 <div class="col-md-4 py-3">
                     <h2><i class="fa-light fa-microchip-ai"></i> Faster scikit-learn <br> with cuML</h2>
                     <p>cuML brings huge speedups to ML modeling with an API that matches scikit-learn.</p> <br>
-                    <a href="https://github.com/rapidsai/cuml/tree/branch-24.02/python/cuml/benchmark"
+                    <a href="https://github.com/rapidsai/cuml/tree/branch-24.04/python/cuml/benchmark"
                         target="_blank">Run this benchmark yourself <i class="fa-solid fa-arrow-up-right"></i> </a>
 
                     <canvas id="cuMLchart" width="400" height="350"></canvas>
@@ -146,7 +146,7 @@ <h2><i class="fa-light fa-microchip-ai"></i> Faster scikit-learn <br> with cuML<
                     <h2><i class="fa-light fa-circle-nodes"></i> Faster networkX <br> with cuGraph</h2>
                     <p>cuGraph makes migration from networkX easy, accelerates graph analytics, and allows scaling far
                         beyond existing tools. </p>
-                    <a href="https://github.com/rapidsai/cugraph/blob/branch-24.02/notebooks/cugraph_benchmarks/synth_release.ipynb"
+                    <a href="https://github.com/rapidsai/cugraph/blob/branch-24.04/notebooks/cugraph_benchmarks/synth_release_single_gpu.ipynb"
                         target="_blank">Run this benchmark yourself <i class="fa-solid fa-arrow-up-right"></i> </a>
 
                     <canvas id="cuGraphChart" width="400" height="350"></canvas>
@@ -196,16 +196,16 @@ <h3 class="mt-6 text-white">Install with Conda</h3>
                     <br>
                     <p><strong>2.</strong> Then quick install RAPIDS with:</p>
                     <pre
-                        class="highlight use-white-copy"><code>conda create --solver=libmamba -n rapids-24.02 -c rapidsai -c conda-forge -c nvidia rapids=24.02 python=3.10 cuda-version=12.0</code></pre>
+                        class="highlight use-white-copy"><code>conda create --solver=libmamba -n rapids-24.04 -c rapidsai -c conda-forge -c nvidia rapids=24.04 python=3.11 cuda-version=12.2</code></pre>
 
                     <h3 class="mt-6 text-white">Install with pip</h3>
                     <p>Install via the NVIDIA PyPI index:</p>
                     <pre class="highlight use-white-copy"><code>pip install \
 --extra-index-url=https://pypi.nvidia.com \
-cudf-cu12==24.2.* \
-dask-cudf-cu12==24.2.* \
-cuml-cu12==24.2.* \
-cugraph-cu12==24.2.*</code></pre>
+cudf-cu12==24.4.* \
+dask-cudf-cu12==24.4.* \
+cuml-cu12==24.4.* \
+cugraph-cu12==24.4.*</code></pre>
 
                     <h3 class="mt-6 text-white">Install with Docker</h3>
                     <p>Check that you have the <a href="https://docs.rapids.ai/install#docker" target="_blank">required