diff --git a/docs/source/algorithms.mdx b/docs/source/algorithms.mdx
index d9db5cb04..65e5567a4 100644
--- a/docs/source/algorithms.mdx
+++ b/docs/source/algorithms.mdx
@@ -5,7 +5,7 @@ This is an overview of the `bnb.functional` API in `bitsandbytes` that we think
 
 ## Using Int8 Matrix Multiplication
 
-For straight Int8 matrix multiplication with mixed precision decomposition you can use ``bnb.matmul(...)``. To enable mixed precision decomposition, use the threshold parameter:
+For straight Int8 matrix multiplication without mixed precision decomposition you can use ``bnb.matmul(...)``. To enable mixed precision decomposition, use the threshold parameter:
 
 ```py
 bnb.matmul(..., threshold=6.0)
diff --git a/docs/source/installation.mdx b/docs/source/installation.mdx
index d1acb2cd6..d846c35a5 100644
--- a/docs/source/installation.mdx
+++ b/docs/source/installation.mdx
@@ -19,29 +19,30 @@ Welcome to the installation guide for the `bitsandbytes` library! This document
 
 ## CUDA[[cuda]]
 
-`bitsandbytes` is currently only supported on CUDA GPUs for CUDA versions **11.0 - 12.5**. However, there's an ongoing multi-backend effort under development, which is currently in alpha. If you're interested in providing feedback or testing, check out [the multi-backend section below](#multi-backend).
+`bitsandbytes` is currently only supported on CUDA GPUs for CUDA versions **11.0 - 12.6**. However, there's an ongoing multi-backend effort under development, which is currently in alpha. If you're interested in providing feedback or testing, check out [the multi-backend section below](#multi-backend).
 
 ### Supported CUDA Configurations[[cuda-pip]]
 
-The latest version of `bitsandbytes` builds on the following configurations:
+The latest version of the distributed `bitsandbytes` package is built with the following configurations:
 
-| **OS**      | **CUDA Version** | **Compiler**         |
+| **OS**      | **CUDA Toolkit** | **Host Compiler**         |
 |-------------|------------------|----------------------|
 | **Linux**   | 11.7 - 12.3      | GCC 11.4             |
-|             | 12.4+            | GCC 13.2             |
-| **Windows** | 11.7 - 12.4      | MSVC 19.38+ (VS2022) |
+|             | 12.4 - 12.6      | GCC 13.2             |
+| **Windows** | 11.7 - 12.6      | MSVC 19.42+ (VS2022) |
 
-For Linux systems, ensure your hardware meets the following requirements:
+For CUDA systems, ensure your hardware meets the following requirements:
 
-| **Feature**                     | **Hardware Requirement**                                           |
-|---------------------------------|--------------------------------------------------------------------|
-| LLM.int8()                      | NVIDIA Turing (RTX 20 series, T4) or Ampere (RTX 30 series, A4-A100) GPUs |
-| 8-bit optimizers/quantization   | NVIDIA Kepler (GTX 780 or newer)                                    |
+| **Feature**                     | **Minimum Hardware Requirement**                              |
+|---------------------------------|---------------------------------------------------------------|
+| LLM.int8()                      | NVIDIA Turing (RTX 20 series, T4) or newer GPUs               |
+| 8-bit optimizers/quantization   | NVIDIA Maxwell (GTX 900 series, TITAN X, M40) or newer GPUs * |
+| NF4/FP4 quantization            | NVIDIA Maxwell (GTX 900 series, TITAN X, M40) or newer GPUs * |
 
 > [!WARNING]
-> `bitsandbytes >= 0.39.1` no longer includes Kepler binaries in pip installations. This requires [manual compilation using](#cuda-compile) the `cuda11x_nomatmul_kepler` configuration.
-
-To install from PyPI.
+> `bitsandbytes >= 0.45.0` no longer supports Kepler GPUs.
+>
+> Support for Maxwell GPUs is deprecated and will be removed in a future release. For the best results, a Turing generation device or newer is recommended.
 
 ```bash
 pip install bitsandbytes
@@ -79,7 +80,7 @@ For Linux and Windows systems, compiling from source allows you to customize the
 <hfoptions id="source">
 <hfoption id="Linux">
 
-To compile from source, you need CMake >= **3.22.1** and Python >= **3.8** installed. Make sure you have a compiler installed to compile C++ (`gcc`, `make`, headers, etc.).
+To compile from source, you need CMake >= **3.22.1** and Python >= **3.9** installed. Make sure you have a compiler installed to compile C++ (`gcc`, `make`, headers, etc.).
 
 For example, to install a compiler and CMake on Ubuntu:
 
@@ -115,7 +116,7 @@ pip install -e .   # `-e` for "editable" install, when developing BNB (otherwise
 
 Windows systems require Visual Studio with C++ support as well as an installation of the CUDA SDK.
 
-To compile from source, you need CMake >= **3.22.1** and Python >= **3.8** installed. You should also install CUDA Toolkit by following the [CUDA Installation Guide for Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html) guide from NVIDIA.
+To compile from source, you need CMake >= **3.22.1** and Python >= **3.9** installed. You should also install CUDA Toolkit by following the [CUDA Installation Guide for Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html) guide from NVIDIA.
 
 Refer to the following table if you're using another CUDA Toolkit version.