[doc]: Update installation doc and readme (#1465)

Author: yongwww

README.md

@@ -45,21 +45,7 @@ Using our PyTorch API is the easiest way to get started:
 
 ### Install from PIP
 
-We provide prebuilt python wheels for Linux. Install FlashInfer with the following command:
-
-```bash
-# For CUDA 12.6 & torch 2.6
-pip install flashinfer-python -i https://flashinfer.ai/whl/cu126/torch2.6
-# For other CUDA & torch versions, check https://docs.flashinfer.ai/installation.html
-```
-
-To try the latest features from the main branch, use our nightly-built wheels:
-
-```bash
-pip install flashinfer-python -i https://flashinfer.ai/whl/nightly/cu126/torch2.6
-```
-
-For a JIT version (compiling every kernel from scratch, [NVCC](https://developer.nvidia.com/cuda-downloads) is required), install from [PyPI](https://pypi.org/project/flashinfer-python/):
+FlashInfer is available as a Python package for Linux on PyPI. You can install it with the following command:
 
 ```bash
 pip install flashinfer-python

docs/installation.rst

@@ -15,94 +15,14 @@ Prerequisites
 
 - Python: 3.8, 3.9, 3.10, 3.11, 3.12
 
-- PyTorch: 2.2/2.3/2.4/2.5 with CUDA 11.8/12.1/12.4 (only for torch 2.4 or later)
-
-  - Use ``python -c "import torch; print(torch.version.cuda)"`` to check your PyTorch CUDA version.
-
-- Supported GPU architectures: ``sm75``, ``sm80``, ``sm86``, ``sm89``, ``sm90``.
-
 Quick Start
 ^^^^^^^^^^^
 
-The easiest way to install FlashInfer is via pip, we host wheels with indexed URL for different PyTorch versions and CUDA versions. Please note that the package currently used by FlashInfer is named ``flashinfer-python``, not ``flashinfer``.
-
-.. tabs::
-    .. tab:: PyTorch 2.6
-
-        .. tabs::
-
-            .. tab:: CUDA 12.6
-
-                .. code-block:: bash
-
-                    pip install flashinfer-python -i https://flashinfer.ai/whl/cu126/torch2.6/
-
-            .. tab:: CUDA 12.4
-
-                .. code-block:: bash
-
-                    pip install flashinfer-python -i https://flashinfer.ai/whl/cu124/torch2.6/
-
-    .. tab:: PyTorch 2.5
-
-        .. tabs::
-
-            .. tab:: CUDA 12.4
-
-                .. code-block:: bash
-
-                    pip install flashinfer-python -i https://flashinfer.ai/whl/cu124/torch2.5/
-
-            .. tab:: CUDA 12.1
-
-                .. code-block:: bash
-
-                    pip install flashinfer-python -i https://flashinfer.ai/whl/cu121/torch2.5/
-
-            .. tab:: CUDA 11.8
-
-                .. code-block:: bash
-
-                    pip install flashinfer-python -i https://flashinfer.ai/whl/cu118/torch2.5/
-
-    .. tab:: PyTorch 2.4
-
-        .. tabs::
-
-            .. tab:: CUDA 12.4
-
-                .. code-block:: bash
-
-                    pip install flashinfer-python -i https://flashinfer.ai/whl/cu124/torch2.4/
-
-
-            .. tab:: CUDA 12.1
-
-                .. code-block:: bash
-
-                    pip install flashinfer-python -i https://flashinfer.ai/whl/cu121/torch2.4/
-
-            .. tab:: CUDA 11.8
-
-                .. code-block:: bash
-
-                    pip install flashinfer-python -i https://flashinfer.ai/whl/cu118/torch2.4/
-
-    .. tab:: PyTorch 2.3
-
-        .. tabs::
-
-            .. tab:: CUDA 12.1
-
-                .. code-block:: bash
-
-                    pip install flashinfer-python -i https://flashinfer.ai/whl/cu121/torch2.3/
-
-            .. tab:: CUDA 11.8
+The easiest way to install FlashInfer is via pip. Please note that the package currently used by FlashInfer is named ``flashinfer-python``, not ``flashinfer``.
 
-                .. code-block:: bash
+.. code-block:: bash
 
-                    pip install flashinfer-python -i https://flashinfer.ai/whl/cu118/torch2.3/
+    pip install flashinfer-python
 
 
 .. _install-from-source: