Update based on Ram feedback

docs_amd/index.rst

@@ -9,7 +9,7 @@ rocOpt documentation
 ********************************************************************
 
 rocOpt is part of the AMD Data Science toolkit, an open-source software collection for high-performance data science applications. 
-Forked from the NVIDIA RAPIDS® cuOpt project, rocOpt brings the same GPU-accelerated software library to the
+Forked from the RAPIDS® cuOpt project, rocOpt brings the same GPU-accelerated software library to the
 :doc:`ROCm <rocm:index>`/:doc:`HIP <hip:index>` stack while preserving API compatibility. 
 
 rocOpt is designed for large-scale decision and route optimization. For more information, see :doc:`What is rocOpt? <what_is_rocopt>`

docs_amd/install/install_rocopt.rst

@@ -37,7 +37,7 @@ Compatibility Matrix
 
 .. note::
 
-   ROCm version compatibility: This release of rocOpt is built against ROCm 7.1.1 and is intended to run on ROCm 7.2.3. This configuration serves as a workaround for a build issue identified in ROCm 7.2.3. The issue has been fixed for future releases. 
+   ROCm version compatibility: This release of rocOpt is built against ROCm 7.1.1 and is intended to run on ROCm 7.2.3. This configuration serves as a workaround for a build issue identified in ROCm 7.2.3. 
 
 Option 1: Use a prebuilt Docker image
 =====================================

docs_amd/reference/python-api-reference.rst

@@ -1,18 +1,18 @@
 .. meta::
-   :description: Python API reference for rocopt, covering linear programming, quadratic programming, mixed integer linear programming, and vehicle routing problem classes and functions.
+   :description: Python API reference for rocOpt, covering linear programming, quadratic programming, mixed integer linear programming, and vehicle routing problem classes and functions.
    :keywords: rocopt, Python, API, LP, MILP, QP, VRP, routing, ROCm, optimization, cuopt
 
 ====================
 Python API reference
 ====================
 
-This page documents the Python API for rocopt, covering both the ``libcuopt`` Python wrappers (Cython-based) and the ``cuopt`` Python package. The Python API provides access to linear programming (LP), mixed integer linear programming (MILP), quadratic programming (QP) solvers, and vehicle routing problem (VRP) solvers.
+This page documents the Python API for rocOpt, covering both the ``libcuopt`` Python wrappers (Cython-based) and the ``cuopt`` Python package. The Python API provides access to linear programming (LP), mixed integer linear programming (MILP), quadratic programming (QP) solvers, and vehicle routing problem (VRP) solvers.
 
 For the corresponding C and C++ APIs, see :doc:`/reference/c-api-reference`.
 
 .. note::
 
-   The Python API is built on Cython wrappers that call into the rocopt C++ solver libraries. The internal bridge modules (``cython_solve`` for LP and ``cython`` for routing) are not part of the public API and are not documented here.
+   The Python API is built on Cython wrappers that call into the rocOpt C++ solver libraries. The internal bridge modules (``cython_solve`` for LP and ``cython`` for routing) are not part of the public API and are not documented here.
 
 Linear programming
 ******************
@@ -21,7 +21,7 @@ The linear programming Python API provides classes and functions for defining an
 
 .. note::
 
-   The source material available does not contain the full Python-level docstrings, class definitions, or function signatures for the LP Python API. The sections below describe the API surface based on the C++ types that the Python wrappers expose. Consult the installed package help (``help(cuopt)``) or the generated API docs shipped with rocopt for complete Python signatures and parameter details.
+   The source material available does not contain the full Python-level docstrings, class definitions, or function signatures for the LP Python API. The sections below describe the API surface based on the C++ types that the Python wrappers expose. Consult the installed package help (``help(cuopt)``) or the generated API docs shipped with rocOpt for complete Python signatures and parameter details.
 
 Optimization problem
 --------------------
@@ -132,7 +132,7 @@ Vehicle routing
 
 The vehicle routing Python API provides classes for defining and solving vehicle routing problems, including TSP, VRP, and pickup-and-delivery problems. These classes wrap the C++ routing API through Cython bindings.
 
-For a complete walkthrough, see :doc:`../examples/rocopt-examples`.
+For a complete walkthrough, see :ref:`rocopt-example`.
 
 DataModelView
 -------------

docs_amd/what_is_rocopt.rst

@@ -14,7 +14,7 @@ mixed-integer linear programming (MILP), quadratic programming (QP), and vehicle
 problems containing millions of variables and constraints, returning near real-time results on
 AMD Instinct MI300X and MI355X GPUs through the ROCm software stack.
 
-rocOpt is aligned with and API-compatible with NVIDIA cuOpt 25.10, so you can run
+rocOpt is aligned with and API-compatible with cuOpt 25.10, so you can run
 existing cuOpt workloads and optimization pipelines on AMD Instinct GPUs without
 rewriting client code.
 
@@ -48,7 +48,7 @@ the ROCm 7.2.3 runtime. This includes the following features:
   - Server API — serve optimization requests over HTTP with a cuOpt-compatible
     interface.
 
-- rocOpt is built on the ROCm Data Science (ROCm-DS) stack — a HIP port of NVIDIA's
+- rocOpt is built on the ROCm Data Science (ROCm-DS) stack — a HIP port
   cuOpt that maps RAPIDS-style dependencies to their ROCm equivalents (hipRAFT, hipMM,
   rocThrust, hipCUB, rocPRIM, hipSPARSE, hipBLAS, hipSOLVER) so workloads run on
   AMD Instinct hardware alongside other ROCm-DS libraries such as hipDF.
@@ -63,6 +63,6 @@ the ROCm 7.2.3 runtime. This includes the following features:
 
 .. note::
 
-   The Barrier (interior-point) LP solver depends on the NVIDIA cuDSS sparse direct
+   The Barrier (interior-point) LP solver depends on the cuDSS sparse direct
    solver, and has no ROCm equivalent in this release. Use PDLP for large LPs and
    dual simplex for smaller problems.