[Doc] Update pip install commands for CUDA (#3343)

This PR updates the pip install instructions for CUDA in documentation,
where we prioritize CUDA 12.8 and 13.0.

Author: MasterJH5574

ci/task/test_model_compile.sh

@@ -9,7 +9,7 @@ pip install --force-reinstall wheels/*.whl
 
 if [[ ${GPU} == cuda* ]]; then
     TARGET=cuda
-    pip install --pre -U --no-index -f https://mlc.ai/wheels mlc-ai-nightly-cu123
+    pip install --pre -U --no-index -f https://mlc.ai/wheels mlc-ai-nightly-cu128
     export LD_LIBRARY_PATH=/usr/local/cuda/compat/:$LD_LIBRARY_PATH
 elif [[ ${GPU} == rocm* ]]; then
     TARGET=rocm

docs/install/mlc_llm.rst

@@ -32,19 +32,19 @@ Select your operating system/compute platform and run the command in your termin
                     conda activate your-environment
                     python -m pip install --pre -U -f https://mlc.ai/wheels mlc-llm-nightly-cpu mlc-ai-nightly-cpu
 
-            .. tab:: CUDA 12.2
+            .. tab:: CUDA 12.8
 
                 .. code-block:: bash
 
                     conda activate your-environment
-                    python -m pip install --pre -U -f https://mlc.ai/wheels mlc-llm-nightly-cu122 mlc-ai-nightly-cu122
+                    python -m pip install --pre -U -f https://mlc.ai/wheels mlc-llm-nightly-cu128 mlc-ai-nightly-cu128
 
-            .. tab:: CUDA 12.3
+            .. tab:: CUDA 13.0
 
                 .. code-block:: bash
 
                     conda activate your-environment
-                    python -m pip install --pre -U -f https://mlc.ai/wheels mlc-llm-nightly-cu123 mlc-ai-nightly-cu123
+                    python -m pip install --pre -U -f https://mlc.ai/wheels mlc-llm-nightly-cu130 mlc-ai-nightly-cu130
 
             .. tab:: ROCm 6.1
 
@@ -80,7 +80,7 @@ Select your operating system/compute platform and run the command in your termin
 
             .. code-block:: bash
 
-                conda install -c conda-forge libgcc-ng
+                conda install -c conda-forge libstdcxx-ng
 
             Besides, we would recommend using Python 3.11; so if you are creating a new environment,
             you could use the following command:

docs/install/tvm.rst

@@ -39,19 +39,19 @@ A nightly prebuilt Python package of Apache TVM Unity is provided.
               conda activate your-environment
               python -m pip install --pre -U -f https://mlc.ai/wheels mlc-ai-nightly-cpu
 
-         .. tab:: CUDA 12.2
+         .. tab:: CUDA 12.8
 
             .. code-block:: bash
 
               conda activate your-environment
-              python -m pip install --pre -U -f https://mlc.ai/wheels mlc-ai-nightly-cu122
+              python -m pip install --pre -U -f https://mlc.ai/wheels mlc-ai-nightly-cu128
 
-         .. tab:: CUDA 12.3
+         .. tab:: CUDA 13.0
 
             .. code-block:: bash
 
               conda activate your-environment
-              python -m pip install --pre -U -f https://mlc.ai/wheels mlc-ai-nightly-cu123
+              python -m pip install --pre -U -f https://mlc.ai/wheels mlc-ai-nightly-cu130
 
          .. tab:: ROCm 6.1
 
@@ -77,7 +77,7 @@ A nightly prebuilt Python package of Apache TVM Unity is provided.
 
         .. code-block:: bash
 
-          conda install -c conda-forge libgcc-ng
+          conda install -c conda-forge libstdcxx-ng
 
    .. tab:: macOS