diff --git a/README.md b/README.md
index 1043a1298c..d35697282b 100644
--- a/README.md
+++ b/README.md
@@ -12,7 +12,11 @@
 
 
 
-NVIDIA® cuOpt™ is a GPU-accelerated optimization engine that excels in linear programming (LP), quadratic programming (QP), and vehicle routing problems (VRP), with support for quadratically constrained quadratic programming (QCQP) (beta), second-order cone programming (SOCP) (beta), and mixed integer linear programming (MILP) (beta). It enables near real-time solutions for large-scale LPs with millions of variables and constraints. cuOpt offers easy integration into existing modeling languages and seamless deployment across hybrid and multi-cloud environments.
+NVIDIA® cuOpt™ is a GPU-accelerated optimization engine that excels in linear programming (LP), quadratic programming (QP), and vehicle routing problems (VRP), with support for quadratically constrained quadratic programming (QCQP) (beta), second-order cone programming (SOCP) (beta), and mixed integer linear programming (MILP) (beta). cuOpt enables near real-time solutions for large-scale LPs with millions of variables and constraints and offers easy integration into existing modeling languages with seamless deployment across hybrid and multi-cloud environments.
+
+The cuOpt MIP solver is in beta and under active development. The solver currently excels at finding high-quality feasible solutions quickly with GPU-accelerated primal heuristics. Proving feasible solutions optimal remains under active development.
+
+cuOpt offers easy integration into existing solvers, and seamlessly extends into agent-first optimization workflows through open-source cuOpt agent skills.
 
 The core engine is written in C++ and wrapped with a C API, Python API and Server API.
 
diff --git a/conda/environments/all_cuda-129_arch-aarch64.yaml b/conda/environments/all_cuda-129_arch-aarch64.yaml
index b4a646337d..345343e114 100644
--- a/conda/environments/all_cuda-129_arch-aarch64.yaml
+++ b/conda/environments/all_cuda-129_arch-aarch64.yaml
@@ -19,7 +19,7 @@ dependencies:
 - cuda-python>=12.9.2,<13.0
 - cuda-sanitizer-api
 - cuda-version=12.9
-- cudf==26.6.*,>=0.0.0a0
+- cudf==26.6.*
 - cupy>=13.6.0,!=14.0.0,!=14.1.0
 - cxx-compiler
 - cython>=3.0.3
@@ -37,8 +37,8 @@ dependencies:
 - libgrpc >=1.78.0,<1.80.0a0
 - libnvjitlink-dev
 - libprotobuf
-- libraft-headers==26.6.*,>=0.0.0a0
-- librmm==26.6.*,>=0.0.0a0
+- libraft-headers==26.6.*
+- librmm==26.6.*
 - make
 - msgpack-numpy==0.4.8
 - msgpack-python==1.1.2
@@ -55,7 +55,7 @@ dependencies:
 - pip
 - pre-commit
 - psutil>=6.0.0
-- pylibraft==26.6.*,>=0.0.0a0
+- pylibraft==26.6.*
 - pyrsistent
 - pytest-cov
 - pytest-rerunfailures
@@ -63,10 +63,10 @@ dependencies:
 - python>=3.11,<3.15
 - pyyaml>=6.0.0
 - rapids-build-backend>=0.4.0,<0.5.0
-- rapids-logger==0.2.*,>=0.0.0a0
+- rapids-logger==0.2.*
 - re2
 - requests
-- rmm==26.6.*,>=0.0.0a0
+- rmm==26.6.*
 - ruamel.yaml>=0.18
 - scikit-build-core>=0.11.0
 - scipy>=1.14.1
diff --git a/conda/environments/all_cuda-129_arch-x86_64.yaml b/conda/environments/all_cuda-129_arch-x86_64.yaml
index 0291229eb1..4466473a6a 100644
--- a/conda/environments/all_cuda-129_arch-x86_64.yaml
+++ b/conda/environments/all_cuda-129_arch-x86_64.yaml
@@ -19,7 +19,7 @@ dependencies:
 - cuda-python>=12.9.2,<13.0
 - cuda-sanitizer-api
 - cuda-version=12.9
-- cudf==26.6.*,>=0.0.0a0
+- cudf==26.6.*
 - cupy>=13.6.0,!=14.0.0,!=14.1.0
 - cxx-compiler
 - cython>=3.0.3
@@ -37,8 +37,8 @@ dependencies:
 - libgrpc >=1.78.0,<1.80.0a0
 - libnvjitlink-dev
 - libprotobuf
-- libraft-headers==26.6.*,>=0.0.0a0
-- librmm==26.6.*,>=0.0.0a0
+- libraft-headers==26.6.*
+- librmm==26.6.*
 - make
 - msgpack-numpy==0.4.8
 - msgpack-python==1.1.2
@@ -55,7 +55,7 @@ dependencies:
 - pip
 - pre-commit
 - psutil>=6.0.0
-- pylibraft==26.6.*,>=0.0.0a0
+- pylibraft==26.6.*
 - pyrsistent
 - pytest-cov
 - pytest-rerunfailures
@@ -63,10 +63,10 @@ dependencies:
 - python>=3.11,<3.15
 - pyyaml>=6.0.0
 - rapids-build-backend>=0.4.0,<0.5.0
-- rapids-logger==0.2.*,>=0.0.0a0
+- rapids-logger==0.2.*
 - re2
 - requests
-- rmm==26.6.*,>=0.0.0a0
+- rmm==26.6.*
 - ruamel.yaml>=0.18
 - scikit-build-core>=0.11.0
 - scipy>=1.14.1
diff --git a/conda/environments/all_cuda-132_arch-aarch64.yaml b/conda/environments/all_cuda-132_arch-aarch64.yaml
index 4a22949eb3..605ca8d577 100644
--- a/conda/environments/all_cuda-132_arch-aarch64.yaml
+++ b/conda/environments/all_cuda-132_arch-aarch64.yaml
@@ -19,7 +19,7 @@ dependencies:
 - cuda-python>=13.0.1,<14.0
 - cuda-sanitizer-api
 - cuda-version=13.2
-- cudf==26.6.*,>=0.0.0a0
+- cudf==26.6.*
 - cupy>=13.6.0,!=14.0.0,!=14.1.0
 - cxx-compiler
 - cython>=3.0.3
@@ -37,8 +37,8 @@ dependencies:
 - libgrpc >=1.78.0,<1.80.0a0
 - libnvjitlink-dev
 - libprotobuf
-- libraft-headers==26.6.*,>=0.0.0a0
-- librmm==26.6.*,>=0.0.0a0
+- libraft-headers==26.6.*
+- librmm==26.6.*
 - make
 - msgpack-numpy==0.4.8
 - msgpack-python==1.1.2
@@ -55,7 +55,7 @@ dependencies:
 - pip
 - pre-commit
 - psutil>=6.0.0
-- pylibraft==26.6.*,>=0.0.0a0
+- pylibraft==26.6.*
 - pyrsistent
 - pytest-cov
 - pytest-rerunfailures
@@ -63,10 +63,10 @@ dependencies:
 - python>=3.11,<3.15
 - pyyaml>=6.0.0
 - rapids-build-backend>=0.4.0,<0.5.0
-- rapids-logger==0.2.*,>=0.0.0a0
+- rapids-logger==0.2.*
 - re2
 - requests
-- rmm==26.6.*,>=0.0.0a0
+- rmm==26.6.*
 - ruamel.yaml>=0.18
 - scikit-build-core>=0.11.0
 - scipy>=1.14.1
diff --git a/conda/environments/all_cuda-132_arch-x86_64.yaml b/conda/environments/all_cuda-132_arch-x86_64.yaml
index 3b76383221..108dbe0568 100644
--- a/conda/environments/all_cuda-132_arch-x86_64.yaml
+++ b/conda/environments/all_cuda-132_arch-x86_64.yaml
@@ -19,7 +19,7 @@ dependencies:
 - cuda-python>=13.0.1,<14.0
 - cuda-sanitizer-api
 - cuda-version=13.2
-- cudf==26.6.*,>=0.0.0a0
+- cudf==26.6.*
 - cupy>=13.6.0,!=14.0.0,!=14.1.0
 - cxx-compiler
 - cython>=3.0.3
@@ -37,8 +37,8 @@ dependencies:
 - libgrpc >=1.78.0,<1.80.0a0
 - libnvjitlink-dev
 - libprotobuf
-- libraft-headers==26.6.*,>=0.0.0a0
-- librmm==26.6.*,>=0.0.0a0
+- libraft-headers==26.6.*
+- librmm==26.6.*
 - make
 - msgpack-numpy==0.4.8
 - msgpack-python==1.1.2
@@ -55,7 +55,7 @@ dependencies:
 - pip
 - pre-commit
 - psutil>=6.0.0
-- pylibraft==26.6.*,>=0.0.0a0
+- pylibraft==26.6.*
 - pyrsistent
 - pytest-cov
 - pytest-rerunfailures
@@ -63,10 +63,10 @@ dependencies:
 - python>=3.11,<3.15
 - pyyaml>=6.0.0
 - rapids-build-backend>=0.4.0,<0.5.0
-- rapids-logger==0.2.*,>=0.0.0a0
+- rapids-logger==0.2.*
 - re2
 - requests
-- rmm==26.6.*,>=0.0.0a0
+- rmm==26.6.*
 - ruamel.yaml>=0.18
 - scikit-build-core>=0.11.0
 - scipy>=1.14.1
diff --git a/cpp/docs/grpc-server-architecture.md b/cpp/docs/grpc-server-architecture.md
index 77fe093b28..425047cc23 100644
--- a/cpp/docs/grpc-server-architecture.md
+++ b/cpp/docs/grpc-server-architecture.md
@@ -1,4 +1,4 @@
-# NVIDIA cuOpt gRPC server architecture
+# NVIDIA cuOpt gRPC Server Architecture
 
 <!--
   SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
diff --git a/dependencies.yaml b/dependencies.yaml
index c894f547bd..1d034dde80 100644
--- a/dependencies.yaml
+++ b/dependencies.yaml
@@ -285,7 +285,7 @@ dependencies:
     common:
       - output_types: [conda]
         packages:
-          - libcuopt-tests==26.6.*,>=0.0.0a0
+          - libcuopt-tests==26.6.*
   build_wheels:
     common:
       - output_types: [requirements, pyproject]
@@ -395,12 +395,12 @@ dependencies:
     common:
       - output_types: [requirements, pyproject]
         packages:
-          - cuopt-cu13==26.6.*,>=0.0.0a0
+          - cuopt-cu13==26.6.*
   depends_on_libcuopt:
     common:
       - output_types: conda
         packages:
-          - &libcuopt_unsuffixed libcuopt==26.6.*,>=0.0.0a0
+          - &libcuopt_unsuffixed libcuopt==26.6.*
       - output_types: requirements
         packages:
           # pip recognizes the index as a global option for the requirements.txt file
@@ -413,18 +413,18 @@ dependencies:
               cuda: "12.*"
               cuda_suffixed: "true"
             packages:
-              - libcuopt-cu12==26.6.*,>=0.0.0a0
+              - libcuopt-cu12==26.6.*
           - matrix:
               cuda: "13.*"
               cuda_suffixed: "true"
             packages:
-              - libcuopt-cu13==26.6.*,>=0.0.0a0
+              - libcuopt-cu13==26.6.*
           - {matrix: null, packages: [*libcuopt_unsuffixed]}
   depends_on_cuopt:
     common:
       - output_types: conda
         packages:
-          - &cuopt_unsuffixed cuopt==26.6.*,>=0.0.0a0
+          - &cuopt_unsuffixed cuopt==26.6.*
       - output_types: requirements
         packages:
           # pip recognizes the index as a global option for the requirements.txt file
@@ -437,18 +437,18 @@ dependencies:
               cuda: "12.*"
               cuda_suffixed: "true"
             packages:
-              - cuopt-cu12==26.6.*,>=0.0.0a0
+              - cuopt-cu12==26.6.*
           - matrix:
               cuda: "13.*"
               cuda_suffixed: "true"
             packages:
-              - cuopt-cu13==26.6.*,>=0.0.0a0
+              - cuopt-cu13==26.6.*
           - {matrix: null, packages: [*cuopt_unsuffixed]}
   depends_on_cuopt_server:
     common:
       - output_types: conda
         packages:
-          - &cuopt_server_unsuffixed cuopt-server==26.6.*,>=0.0.0a0
+          - &cuopt_server_unsuffixed cuopt-server==26.6.*
       - output_types: requirements
         packages:
           # pip recognizes the index as a global option for the requirements.txt file
@@ -461,18 +461,18 @@ dependencies:
               cuda: "12.*"
               cuda_suffixed: "true"
             packages:
-              - cuopt-server-cu12==26.6.*,>=0.0.0a0
+              - cuopt-server-cu12==26.6.*
           - matrix:
               cuda: "13.*"
               cuda_suffixed: "true"
             packages:
-              - cuopt-server-cu13==26.6.*,>=0.0.0a0
+              - cuopt-server-cu13==26.6.*
           - {matrix: null, packages: [*cuopt_server_unsuffixed]}
   depends_on_cuopt_sh_client:
     common:
       - output_types: [conda, requirements, pyproject]
         packages:
-          - &cuopt_sh_client_unsuffixed cuopt-sh-client==26.6.*,>=0.0.0a0
+          - &cuopt_sh_client_unsuffixed cuopt-sh-client==26.6.*
       - output_types: requirements
         packages:
           # pip recognizes the index as a global option for the requirements.txt file
@@ -482,12 +482,12 @@ dependencies:
     common:
       - output_types: conda
         packages:
-          - libraft-headers==26.6.*,>=0.0.0a0
+          - libraft-headers==26.6.*
   depends_on_librmm:
     common:
       - output_types: conda
         packages:
-          - &librmm_unsuffixed librmm==26.6.*,>=0.0.0a0
+          - &librmm_unsuffixed librmm==26.6.*
       - output_types: requirements
         packages:
           # pip recognizes the index as a global option for the requirements.txt file
@@ -499,12 +499,12 @@ dependencies:
               cuda: "12.*"
               cuda_suffixed: "true"
             packages:
-              - librmm-cu12==26.6.*,>=0.0.0a0
+              - librmm-cu12==26.6.*
           - matrix:
               cuda: "13.*"
               cuda_suffixed: "true"
             packages:
-              - librmm-cu13==26.6.*,>=0.0.0a0
+              - librmm-cu13==26.6.*
           - {matrix: null, packages: [*librmm_unsuffixed]}
   depends_on_cupy:
     common:
@@ -529,7 +529,7 @@ dependencies:
     common:
       - output_types: [conda, requirements, pyproject]
         packages:
-          - rapids-logger==0.2.*,>=0.0.0a0
+          - rapids-logger==0.2.*
       - output_types: requirements
         packages:
           # pip recognizes the index as a global option for the requirements.txt file
@@ -539,7 +539,7 @@ dependencies:
     common:
       - output_types: conda
         packages:
-          - &rmm_unsuffixed rmm==26.6.*,>=0.0.0a0
+          - &rmm_unsuffixed rmm==26.6.*
       - output_types: requirements
         packages:
           # pip recognizes the index as a global option for the requirements.txt file
@@ -551,12 +551,12 @@ dependencies:
               cuda: "12.*"
               cuda_suffixed: "true"
             packages:
-              - rmm-cu12==26.6.*,>=0.0.0a0
+              - rmm-cu12==26.6.*
           - matrix:
               cuda: "13.*"
               cuda_suffixed: "true"
             packages:
-              - rmm-cu13==26.6.*,>=0.0.0a0
+              - rmm-cu13==26.6.*
           - matrix:
             packages:
               - *rmm_unsuffixed
@@ -565,7 +565,7 @@ dependencies:
     common:
       - output_types: conda
         packages:
-          - &cudf_unsuffixed cudf==26.6.*,>=0.0.0a0
+          - &cudf_unsuffixed cudf==26.6.*
       - output_types: requirements
         packages:
           - --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple
@@ -576,12 +576,12 @@ dependencies:
               cuda: "12.*"
               cuda_suffixed: "true"
             packages:
-              - cudf-cu12==26.6.*,>=0.0.0a0
+              - cudf-cu12==26.6.*
           - matrix:
               cuda: "13.*"
               cuda_suffixed: "true"
             packages:
-              - cudf-cu13==26.6.*,>=0.0.0a0
+              - cudf-cu13==26.6.*
           - matrix:
             packages:
               - *cudf_unsuffixed
@@ -590,7 +590,7 @@ dependencies:
     common:
       - output_types: conda
         packages:
-          - &pylibraft_unsuffixed pylibraft==26.6.*,>=0.0.0a0
+          - &pylibraft_unsuffixed pylibraft==26.6.*
       - output_types: requirements
         packages:
           - --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple
@@ -601,12 +601,12 @@ dependencies:
               cuda: "12.*"
               cuda_suffixed: "true"
             packages:
-              - pylibraft-cu12==26.6.*,>=0.0.0a0
+              - pylibraft-cu12==26.6.*
           - matrix:
               cuda: "13.*"
               cuda_suffixed: "true"
             packages:
-              - pylibraft-cu13==26.6.*,>=0.0.0a0
+              - pylibraft-cu13==26.6.*
           - matrix:
             packages:
               - *pylibraft_unsuffixed
diff --git a/docs/cuopt/source/cuopt-c/mip/index.rst b/docs/cuopt/source/cuopt-c/mip/index.rst
index 525e29cacd..4930f067b2 100644
--- a/docs/cuopt/source/cuopt-c/mip/index.rst
+++ b/docs/cuopt/source/cuopt-c/mip/index.rst
@@ -1,6 +1,13 @@
 MIP (Mixed Integer Programming)
 ================================
 
+.. note::
+
+   The cuOpt MIP solver is in **beta** and under active development. The solver
+   currently excels at finding high-quality feasible solutions quickly with
+   GPU-accelerated primal heuristics. Proving feasible solutions optimal remains
+   under active development.
+
 This section contains details on the cuOpt MIP C API.
 
 .. toctree::
diff --git a/docs/cuopt/source/cuopt-cli/index.rst b/docs/cuopt/source/cuopt-cli/index.rst
index cae126133d..4093db0028 100644
--- a/docs/cuopt/source/cuopt-cli/index.rst
+++ b/docs/cuopt/source/cuopt-cli/index.rst
@@ -3,6 +3,11 @@ Command Line Interface
 
 The cuopt_cli is a command-line interface for LP/MILP solvers that accepts MPS, QPS, or LP format files as input models. The format is dispatched automatically from the file extension (case-insensitive): ``.lp`` (with optional ``.gz`` / ``.bz2``) goes to the LP parser, ``.mps`` / ``.qps`` (with optional ``.gz`` / ``.bz2``) goes to the MPS parser, and unknown extensions are rejected. It provides command-line arguments to control all solver settings and parameters when solving linear and mixed-integer programming problems.
 
+The cuOpt MIP solver is in **beta** and under active development. The solver
+currently excels at finding high-quality feasible solutions quickly with
+GPU-accelerated primal heuristics. Proving feasible solutions optimal remains
+under active development.
+
 .. toctree::
    :maxdepth: 3
    :caption: Command Line Interface Overview
diff --git a/docs/cuopt/source/cuopt-grpc/advanced.rst b/docs/cuopt/source/cuopt-grpc/advanced.rst
index 07e41c8972..54f480191f 100644
--- a/docs/cuopt/source/cuopt-grpc/advanced.rst
+++ b/docs/cuopt/source/cuopt-grpc/advanced.rst
@@ -3,14 +3,14 @@
    SPDX-License-Identifier: Apache-2.0
 
 =======================
-Advanced configuration
+Advanced Configuration
 =======================
 
 This page lists **configuration parameters** first, then **usage** walkthroughs (TLS, Docker, private CA). Complete :doc:`quick-start` first (install, plain TCP server, and minimal example).
 
 For RPC summaries and server behavior, see :doc:`api` and :doc:`grpc-server-architecture`. Example entry points with ``CUOPT_REMOTE_*``: :doc:`examples`. Contributor-only internals: ``cpp/docs/grpc-server-architecture.md`` in the repository.
 
-Configuration parameters
+Configuration Parameters
 ========================
 
 ``cuopt_grpc_server`` (host or explicit container command)
@@ -39,7 +39,7 @@ Run ``cuopt_grpc_server --help`` for the full list. Typical flags (also passable
          --tls-root PATH          Root CA certificate (for client verification)
          --require-client-cert    Require client certificate (mTLS)
 
-NVIDIA cuOpt container (gRPC via entrypoint)
+NVIDIA cuOpt Container (gRPC via Entrypoint)
 --------------------------------------------
 
 These variables apply when the container **entrypoint** builds a ``cuopt_grpc_server`` command (see *Docker: gRPC server in container* under Usage). If you pass an explicit command after the image name, this table does not apply.
@@ -66,7 +66,7 @@ These variables apply when the container **entrypoint** builds a ``cuopt_grpc_se
 
 The REST server path in the same image still uses ``CUOPT_SERVER_PORT`` for HTTP in other docs; that is separate from the gRPC defaults above.
 
-Bundled remote client (Python, C API, ``cuopt_cli``)
+Bundled Remote Client (Python, C API, ``cuopt_cli``)
 ----------------------------------------------------
 
 Remote mode is active when **both** ``CUOPT_REMOTE_HOST`` and ``CUOPT_REMOTE_PORT`` are set. A **custom** gRPC client does not read these automatically; it must configure the channel and protos itself (see :doc:`api`).
@@ -119,7 +119,7 @@ Remote mode is active when **both** ``CUOPT_REMOTE_HOST`` and ``CUOPT_REMOTE_POR
 Usage
 =====
 
-Start the server with TLS
+Start the Server with TLS
 --------------------------
 
 Basic (no TLS), plain TCP, is in :doc:`quick-start`. Encrypted server:
@@ -142,7 +142,7 @@ mTLS (mutual TLS):
      --tls-root ca.crt \
      --require-client-cert
 
-How mTLS works
+How mTLS Works
 --------------
 
 With mTLS the server verifies every client, and the client verifies the server. Trust is based on **Certificate Authorities** (CAs), not individual certificate lists:
@@ -151,7 +151,7 @@ With mTLS the server verifies every client, and the client verifies the server.
 * ``--require-client-cert`` makes client verification **mandatory**. Without it, the server may still allow connections without a client cert.
 * On the client, ``CUOPT_TLS_ROOT_CERT`` is the CA that signed the **server** certificate so the client can verify the server.
 
-Restricting access with a private CA
+Restricting Access with a Private CA
 ------------------------------------
 
 To limit which clients can connect, run your own CA and issue client certs only to authorized actors.
@@ -217,7 +217,7 @@ Repeat for each authorized client. Keep ``ca.key`` private; distribute ``ca.crt`
 
 **Revocation:** built-in gRPC TLS does **not** implement CRL or OCSP. To revoke a client, rotate the CA, stop issuing from a compromised CA, or terminate TLS at a reverse proxy (e.g., Envoy) that supports revocation.
 
-Docker: gRPC server in container
+Docker: gRPC Server in Container
 ---------------------------------
 
 The official NVIDIA cuOpt image includes the REST server and ``cuopt_grpc_server``. The entrypoint behaves as follows:
@@ -256,7 +256,7 @@ Bypass the entrypoint:
      nvcr.io/nvidia/cuopt/cuopt:latest \
      cuopt_grpc_server --port 5001 --workers 2
 
-Client environment (examples)
+Client Environment (Examples)
 ------------------------------
 
 **Required** for remote (see *Bundled remote client* table for all variables):
@@ -280,7 +280,7 @@ For mTLS, also:
    export CUOPT_TLS_CLIENT_CERT=client.crt
    export CUOPT_TLS_CLIENT_KEY=client.key
 
-Limitations and scope
+Limitations and Scope
 =====================
 
 * **Problem types** — **LP**, **MILP**, and **QP** are supported on the gRPC remote path. **Routing** (VRP, TSP, PDP) is **not** supported yet; use the :doc:`REST self-hosted server <../cuopt-server/index>` for remote routing until a future release adds routing over ``CuOptRemoteService``.
@@ -306,7 +306,7 @@ Troubleshooting
    * - Timeout on large problems
      - Increase solver ``time_limit`` and client/server message limits.
 
-Further reading
+Further Reading
 ===============
 
 * :doc:`quick-start` — Plain TCP quick path.
diff --git a/docs/cuopt/source/cuopt-grpc/api.rst b/docs/cuopt/source/cuopt-grpc/api.rst
index 3d44857b7a..5706038032 100644
--- a/docs/cuopt/source/cuopt-grpc/api.rst
+++ b/docs/cuopt/source/cuopt-grpc/api.rst
@@ -3,7 +3,7 @@
    SPDX-License-Identifier: Apache-2.0
 
 ======================
-gRPC API (reference)
+gRPC API (Reference)
 ======================
 
 The **CuOptRemoteService** gRPC API is defined in Protocol Buffers under the ``cuopt.remote`` package. Source files in the repository:
@@ -16,7 +16,7 @@ Most users do **not** call these RPCs directly: the NVIDIA cuOpt **Python** API,
 Service: ``CuOptRemoteService``
 ================================
 
-Asynchronous jobs
+Asynchronous Jobs
 -----------------
 
 .. list-table::
@@ -38,7 +38,7 @@ Asynchronous jobs
    * - ``WaitForCompletion``
      - Block until the job finishes (status only; use ``GetResult`` for the solution).
 
-Chunked upload (large problems)
+Chunked Upload (Large Problems)
 --------------------------------
 
 .. list-table::
@@ -54,7 +54,7 @@ Chunked upload (large problems)
    * - ``FinishChunkedUpload``
      - Finalize the upload and return ``job_id`` (same as ``SubmitJob``).
 
-Chunked download (large results)
+Chunked Download (Large Results)
 --------------------------------
 
 .. list-table::
@@ -70,7 +70,7 @@ Chunked download (large results)
    * - ``FinishChunkedDownload``
      - End the download session and release server state.
 
-Streaming and callbacks
+Streaming and Callbacks
 -----------------------
 
 .. list-table::
@@ -84,14 +84,14 @@ Streaming and callbacks
    * - ``GetIncumbents``
      - MILP incumbent solutions since a given index.
 
-Messages and constraints
+Messages and Constraints
 ========================
 
 * **Problem types** — LP and MILP in the enum; the problem payload can include quadratic objective data for **QP**-style solves where the client API supports it. **Routing** over this gRPC service is **not** available yet; it is planned for an **upcoming** release (use REST for remote routing today).
 * **Solver settings** — Carried as ``PDLPSolverSettings`` or ``MIPSolverSettings`` inside the request or chunked header, aligned with the NVIDIA cuOpt solver options documentation.
 * **Errors** — gRPC status codes carry failures (see comments at the end of ``cuopt_remote_service.proto``).
 
-Further reading
+Further Reading
 ===============
 
 * :doc:`grpc-server-architecture` — Server process model and job lifecycle (overview); :doc:`advanced` for ``cuopt_grpc_server`` flags. Contributor details: ``cpp/docs/grpc-server-architecture.md``.
diff --git a/docs/cuopt/source/cuopt-grpc/examples.rst b/docs/cuopt/source/cuopt-grpc/examples.rst
index 9a10bd9546..6da8b76740 100644
--- a/docs/cuopt/source/cuopt-grpc/examples.rst
+++ b/docs/cuopt/source/cuopt-grpc/examples.rst
@@ -21,7 +21,7 @@ Add TLS or tuning variables from :doc:`advanced` if your deployment uses them.
 
    Routing solve over gRPC is not supported. For solving routing problems remotely today, use the HTTP/JSON :doc:`REST self-hosted server <../cuopt-server/index>` and :doc:`Examples <../cuopt-server/examples/index>`.
 
-Where to find examples
+Where to Find Examples
 ======================
 
 Python (LP / QP / MILP)
@@ -43,7 +43,7 @@ C API (LP / QP / MILP)
 
 * :doc:`../cuopt-cli/cli-examples` — ``cuopt_cli`` invocations. With the exports above, the CLI forwards solves to ``cuopt_grpc_server``.
 
-Minimal demos (this section)
+Minimal Demos (This Section)
 ----------------------------
 
 Bundled with the gRPC docs source for a quick copy-paste path (also walked through in :doc:`quick-start`):
@@ -51,12 +51,12 @@ Bundled with the gRPC docs source for a quick copy-paste path (also walked throu
 * :download:`remote_lp_demo.py <examples/remote_lp_demo.py>`
 * :download:`remote_lp_demo.mps <examples/remote_lp_demo.mps>`
 
-Custom gRPC client
+Custom gRPC Client
 ------------------
 
 Integrations that do **not** use the bundled Python / C / CLI stack should speak ``CuOptRemoteService`` directly. See :doc:`api`, :doc:`grpc-server-architecture`, and ``cpp/docs/grpc-server-architecture.md`` in the repository for protos and server behavior.
 
-More samples
+More Samples
 ============
 
 * `NVIDIA cuOpt examples on GitHub <https://github.com/NVIDIA/cuopt-examples>`_ — set the remote environment on the **client** before running notebooks or scripts.
diff --git a/docs/cuopt/source/cuopt-grpc/grpc-server-architecture.md b/docs/cuopt/source/cuopt-grpc/grpc-server-architecture.md
index 9162f8ad27..4054ee3abd 100644
--- a/docs/cuopt/source/cuopt-grpc/grpc-server-architecture.md
+++ b/docs/cuopt/source/cuopt-grpc/grpc-server-architecture.md
@@ -1,4 +1,4 @@
-# gRPC server behavior
+# gRPC Server Behavior
 
 NVIDIA cuOpt's **`cuopt_grpc_server`** uses one **main process** (gRPC front end, job tracking, background threads) and **worker processes** that run GPU solves. That layout gives isolation between jobs, optional parallelism when you set multiple workers, and streaming for large problems and logs.
 
@@ -6,39 +6,7 @@ Implementation details (IPC layout, C++ source map, chunked transfer internals)
 
 ## Process model
 
-```text
-┌──────────────────────────────────────────────────────────────────────┐
-│                        Main Server Process                           │
-│                                                                      │
-│  ┌─────────────┐  ┌──────────────┐  ┌─────────────────────────────┐  │
-│  │  gRPC       │  │  Job         │  │  Background Threads         │  │
-│  │  Service    │  │  Tracker     │  │  - Result retrieval         │  │
-│  │  Handler    │  │  (job status,│  │  - Incumbent retrieval      │  │
-│  │             │  │   results)   │  │  - Worker monitor           │  │
-│  └─────────────┘  └──────────────┘  └─────────────────────────────┘  │
-│         │                                        ▲                   │
-│         │ shared memory                          │ pipes             │
-│         ▼                                        │                   │
-│  ┌─────────────────────────────────────────────────────────────────┐ │
-│  │                       Shared Memory Queues                      │ │
-│  │                                                                 │ │
-│  │   ┌─────────────────┐        ┌─────────────────────┐            │ │
-│  │   │  Job Queue      │        │  Result Queue       │            │ │
-│  │   │  (MAX_JOBS=100) │        │  (MAX_RESULTS=100)  │            │ │
-│  │   └─────────────────┘        └─────────────────────┘            │ │
-│  └─────────────────────────────────────────────────────────────────┘ │
-└──────────────────────────────────────────────────────────────────────┘
-               │                                        ▲
-               │ fork()                                 │
-               ▼                                        │
-     ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐
-     │  Worker 0       │  │  Worker 1       │  │  Worker N       │
-     │  ┌───────────┐  │  │  ┌───────────┐  │  │  ┌───────────┐  │
-     │  │ GPU Solve │  │  │  │ GPU Solve │  │  │  │ GPU Solve │  │
-     │  └───────────┘  │  │  └───────────┘  │  │  └───────────┘  │
-     │  (separate proc)│  │  (separate proc)│  │  (separate proc)│
-     └─────────────────┘  └─────────────────┘  └─────────────────┘
-```
+![gRPC Server Process Model](images/grpc-process-model.png)
 
 ## Job lifecycle (summary)
 
@@ -46,17 +14,7 @@ Implementation details (IPC layout, C++ source map, chunked transfer internals)
 
 ## Job states
 
-```text
-┌─────────┐  submit   ┌───────────┐  claim   ┌────────────┐
-│ QUEUED  │──────────►│ PROCESSING│─────────►│ COMPLETED  │
-└─────────┘           └───────────┘          └────────────┘
-     │                      │
-     │ cancel               │ error
-     ▼                      ▼
-┌───────────┐          ┌─────────┐
-│ CANCELLED │          │ FAILED  │
-└───────────┘          └─────────┘
-```
+![gRPC Server Job States](images/grpc-job-states.png)
 
 ## Logs, capacity, and workers
 
diff --git a/docs/cuopt/source/cuopt-grpc/images/grpc-job-states.png b/docs/cuopt/source/cuopt-grpc/images/grpc-job-states.png
new file mode 100644
index 0000000000..fed1684ce3
Binary files /dev/null and b/docs/cuopt/source/cuopt-grpc/images/grpc-job-states.png differ
diff --git a/docs/cuopt/source/cuopt-grpc/images/grpc-process-model.png b/docs/cuopt/source/cuopt-grpc/images/grpc-process-model.png
new file mode 100644
index 0000000000..1b6ba3deac
Binary files /dev/null and b/docs/cuopt/source/cuopt-grpc/images/grpc-process-model.png differ
diff --git a/docs/cuopt/source/cuopt-grpc/index.rst b/docs/cuopt/source/cuopt-grpc/index.rst
index 738180f877..40d84b7e1e 100644
--- a/docs/cuopt/source/cuopt-grpc/index.rst
+++ b/docs/cuopt/source/cuopt-grpc/index.rst
@@ -3,7 +3,7 @@
    SPDX-License-Identifier: Apache-2.0
 
 ==========================
-gRPC remote execution
+gRPC Remote Execution
 ==========================
 
 **NVIDIA cuOpt gRPC remote execution** runs optimization solves on a remote GPU host. Clients can be the **Python** API, **C API**, **`cuopt_cli`**, or a **custom** program that speaks ``CuOptRemoteService`` over gRPC. For Python, the C API, and ``cuopt_cli``, set ``CUOPT_REMOTE_HOST`` and ``CUOPT_REMOTE_PORT`` to forward solves to ``cuopt_grpc_server``.
diff --git a/docs/cuopt/source/cuopt-grpc/quick-start.rst b/docs/cuopt/source/cuopt-grpc/quick-start.rst
index 0b7b5c4ab1..ae6a1d7b04 100644
--- a/docs/cuopt/source/cuopt-grpc/quick-start.rst
+++ b/docs/cuopt/source/cuopt-grpc/quick-start.rst
@@ -3,7 +3,7 @@
    SPDX-License-Identifier: Apache-2.0
 
 ===========
-Quick start
+Quick Start
 ===========
 
 **NVIDIA cuOpt gRPC remote execution** runs LP, MILP, and QP solves on a **GPU host** while your **Python** code, **C API** program, **`cuopt_cli`**, or a **custom** client runs elsewhere. When you set ``CUOPT_REMOTE_HOST`` and ``CUOPT_REMOTE_PORT``, the bundled **Python**, **C API**, and **cuopt_cli** clients forward ``solve_lp`` / ``solve_mip`` to ``cuopt_grpc_server`` with **no code changes**. **Custom** clients call ``CuOptRemoteService`` directly (see :doc:`api`).
@@ -12,7 +12,7 @@ Quick start
 
    **Problem types (gRPC remote):** **LP**, **MILP**, and **QP** are supported today. **Routing** (VRP, TSP, PDP) over this path is **not** available;  For remote routing, use the HTTP/JSON :doc:`REST self-hosted server <../cuopt-server/index>`. This guide is **not** the REST server—see :doc:`../cuopt-server/index` for HTTP/JSON.
 
-How remote execution works
+How Remote Execution Works
 ==========================
 
 1. **GPU host** — Run ``cuopt_grpc_server`` (bare metal or in the official container) so it listens on a TCP port (default **5001**).
@@ -35,7 +35,7 @@ Verify the server binary after install:
 
 For the same install selector with **Container** / registry choices (Docker Hub or NGC), see :doc:`../install`.
 
-Run the gRPC server (GPU host)
+Run the gRPC Server (GPU Host)
 ==============================
 
 **Bare metal** — after activating the same environment you used to install NVIDIA cuOpt:
@@ -68,7 +68,7 @@ Or invoke the binary explicitly:
 
    The container image defaults to the Python **REST** server when ``CUOPT_SERVER_TYPE`` is unset and you do not override the command; setting ``CUOPT_SERVER_TYPE=grpc`` selects ``cuopt_grpc_server``. Extra environment variables (``CUOPT_SERVER_PORT``, ``CUOPT_GPU_COUNT``, ``CUOPT_GRPC_ARGS``) and TLS are documented in :doc:`Advanced configuration <advanced>`.
 
-Point the client at the server
+Point the Client at the Server
 ==============================
 
 On the machine where you run Python, the C API, or ``cuopt_cli`` (use ``127.0.0.1`` if the server is on the same host):
@@ -80,7 +80,7 @@ On the machine where you run Python, the C API, or ``cuopt_cli`` (use ``127.0.0.
 
 Optional TLS and tuning variables are in :doc:`advanced`.
 
-Minimal Python example (LP)
+Minimal Python Example (LP)
 ============================
 
 The script is the same for **local** or **remote** solves: with the exports above, the client library forwards to ``cuopt_grpc_server``; without them, the solve runs locally (where a GPU is available).
@@ -111,7 +111,7 @@ You should see an optimal termination. To solve **locally**, unset the remote va
    unset CUOPT_REMOTE_HOST CUOPT_REMOTE_PORT
    python remote_lp_demo.py
 
-Minimal ``cuopt_cli`` example (LP)
+Minimal ``cuopt_cli`` Example (LP)
 ==================================
 
 The same **LP** is available as MPS. With ``CUOPT_REMOTE_HOST`` and ``CUOPT_REMOTE_PORT`` set as above, ``cuopt_cli`` forwards the solve to the remote server; unset them for a **local** run (GPU on that machine).
@@ -147,7 +147,7 @@ More options (time limits, relaxation): :doc:`../cuopt-cli/quick-start` and :doc
 
 More patterns (MPS variants, custom gRPC): :doc:`examples`.
 
-Next steps
+Next Steps
 ==========
 
 * :doc:`../install` — Top-level install selector (all interfaces), including **Container** pulls.
diff --git a/docs/cuopt/source/cuopt-python/mip/index.rst b/docs/cuopt/source/cuopt-python/mip/index.rst
index ee62b3e14c..c67b32b1ae 100644
--- a/docs/cuopt/source/cuopt-python/mip/index.rst
+++ b/docs/cuopt/source/cuopt-python/mip/index.rst
@@ -1,7 +1,12 @@
 MIP (Mixed Integer Programming)
 ================================
 
-.. note:: Support for mixed integer linear programming is currently in **beta**.
+.. note::
+
+   The cuOpt MIP solver is in **beta** and under active development. The solver
+   currently excels at finding high-quality feasible solutions quickly with
+   GPU-accelerated primal heuristics. Proving feasible solutions optimal remains
+   under active development.
 
 This section contains details on the cuOpt MIP Python API.
 
diff --git a/docs/cuopt/source/faq.rst b/docs/cuopt/source/faq.rst
index e0bd379001..1a5c06b4d3 100644
--- a/docs/cuopt/source/faq.rst
+++ b/docs/cuopt/source/faq.rst
@@ -422,6 +422,15 @@ Linear Programming FAQs
 Mixed Integer Linear Programming FAQs
 --------------------------------------
 
+.. dropdown:: How do I run the MIP solver with cuOpt?
+
+    You can run the cuOpt MIP solver through the Python, C, CLI, or server APIs
+    by providing a model with integer or binary variables. The cuOpt MIP solver
+    is in **beta** and under active development. The solver currently excels at
+    finding high-quality feasible solutions quickly with GPU-accelerated primal
+    heuristics. Proving feasible solutions optimal remains under active
+    development.
+
 .. dropdown:: What are the limitations of the MILP solver?
 
     #. There is no inherit limit imposed on the number of variables, number of constraints, or number of non-zeros you can have in a MILP or LP, except the restrictions due to the number of bits in integer and the amount of memory in the CPU and GPU.
diff --git a/docs/cuopt/source/index.rst b/docs/cuopt/source/index.rst
index 3d53b88965..266aaf7b47 100644
--- a/docs/cuopt/source/index.rst
+++ b/docs/cuopt/source/index.rst
@@ -43,14 +43,14 @@ Python (cuopt)
    Python Overview <cuopt-python/index.rst>
 
 ====================================
-gRPC remote execution
+gRPC Remote Execution
 ====================================
 .. toctree::
-   :maxdepth: 2
-   :caption: gRPC remote execution
-   :name: gRPC remote execution
+   :maxdepth: 4
+   :caption: gRPC Remote Execution
+   :name: gRPC Remote Execution
 
-   gRPC overview <cuopt-grpc/index.rst>
+   gRPC Overview <cuopt-grpc/index.rst>
 
 ===============================
 Server (cuopt-server)
diff --git a/docs/cuopt/source/introduction.rst b/docs/cuopt/source/introduction.rst
index cd2f39242d..8fe2dcc3ea 100644
--- a/docs/cuopt/source/introduction.rst
+++ b/docs/cuopt/source/introduction.rst
@@ -79,9 +79,14 @@ All three algorithms can be run concurrently on both GPU and CPU, with the faste
 Mixed Integer Linear Programming (MILP) (Beta)
 ==============================================
 
-.. note:: Support for mixed integer linear programming is currently in **beta**.
+A **Mixed Integer Program (MIP)** is an optimization problem where some variables are restricted to take on only integer values, while other variables can vary continuously. A **Mixed Integer Linear Program (MILP)** is a MIP with a linear objective and linear constraints.
 
-A **Mixed Integer Linear Program** is a variant of a Linear Program where some of the variables are restricted to take on only integer values, while other variables can vary continuously. NVIDIA cuOpt uses a hybrid GPU/CPU method: running primal heuristics on the GPU and improving the dual bound on the CPU.
+.. note::
+
+   The cuOpt MIP solver is in **beta** and under active development. The solver
+   currently excels at finding high-quality feasible solutions quickly with
+   GPU-accelerated primal heuristics. Proving feasible solutions optimal remains
+   under active development.
 
 For example, consider the following system of constraints:
 
@@ -104,7 +109,7 @@ Although MILPs seems similar to a LPs, they require much more computation to sol
 How cuOpt Solves the Mixed-Integer Linear Programming Problem
 -------------------------------------------------------------
 
-The MILP solver is a hybrid GPU/CPU algorithm. Primal heuristics including local search, feasibility pump, and feasibility jump are performed on the GPU to improve the primal bound. Branch and bound is performed on the CPU to improve the dual bound. Integer feasible solutions are shared between both algorithms.
+cuOpt combines GPU-accelerated primal heuristics for improving the primal bound with traditional CPU algorithms, including branch and bound, to improve the dual bound. Primal heuristics such as local search, feasibility pump, and feasibility jump run on the GPU. Integer feasible solutions are shared between these components.
 
 
 =============================
diff --git a/docs/cuopt/source/milp-features.rst b/docs/cuopt/source/milp-features.rst
index 90e298c18e..fc444872fa 100644
--- a/docs/cuopt/source/milp-features.rst
+++ b/docs/cuopt/source/milp-features.rst
@@ -5,6 +5,11 @@ MILP Features
 Availability
 ------------
 
+The cuOpt MIP solver is in **beta** and under active development. The solver
+currently excels at finding high-quality feasible solutions quickly with
+GPU-accelerated primal heuristics. Proving feasible solutions optimal remains
+under active development.
+
 The MILP solver can be accessed in the following ways:
 
 - **Third-Party Modeling Languages**: cuOpt's LP and MILP solver can be called directly from the following third-party modeling languages. This allows you to leverage GPU acceleration while maintaining your existing optimization workflow in these modeling languages.
@@ -21,7 +26,7 @@ The MILP solver can be accessed in the following ways:
 
 - **As a Self-Hosted Service**: cuOpt's MILP solver can be deployed in your own infrastructure, enabling you to maintain full control while integrating it into your existing systems.
 
-Each option provide the same powerful mixed-integer linear optimization capabilities while offering flexibility in deployment and integration.
+Each option provides the same mixed-integer optimization capabilities while offering flexibility in deployment and integration.
 
 Variable Bounds
 ---------------
diff --git a/docs/cuopt/source/mip-settings.rst b/docs/cuopt/source/mip-settings.rst
index 02ac4f417e..f48d632097 100644
--- a/docs/cuopt/source/mip-settings.rst
+++ b/docs/cuopt/source/mip-settings.rst
@@ -78,6 +78,11 @@ access to the dual solution. Enabled by default for LP when Papilo presolve is s
 Mixed Integer Linear Programming
 ---------------------------------
 
+The cuOpt MIP solver is in **beta** and under active development. The solver
+currently excels at finding high-quality feasible solutions quickly with
+GPU-accelerated primal heuristics. Proving feasible solutions optimal remains
+under active development.
+
 We now describe parameter settings for the MILP solver.
 
 
diff --git a/docs/cuopt/source/versions1.json b/docs/cuopt/source/versions1.json
index 507dfe57a4..3801fc6f04 100644
--- a/docs/cuopt/source/versions1.json
+++ b/docs/cuopt/source/versions1.json
@@ -7,34 +7,34 @@
   },
   {
     "version": "26.04.00",
-    "url": "https://docs.nvidia.com/cuopt/user-guide/26.04.00/"
+    "url": "https://archive.docs.nvidia.com/cuopt/user-guide/26.04.00/"
   },
   {
     "version": "26.02.00",
-    "url": "https://docs.nvidia.com/cuopt/user-guide/26.02.00/"
+    "url": "https://archive.docs.nvidia.com/cuopt/user-guide/26.02.00/"
   },
   {
     "version": "25.12.00",
-    "url": "https://docs.nvidia.com/cuopt/user-guide/25.12.00/"
+    "url": "https://archive.docs.nvidia.com/cuopt/user-guide/25.12.00/"
   },
   {
     "version": "25.10.00",
-    "url": "https://docs.nvidia.com/cuopt/user-guide/25.10.00/"
+    "url": "https://archive.docs.nvidia.com/cuopt/user-guide/25.10.00/"
   },
   {
     "version": "25.08.00",
-    "url": "https://docs.nvidia.com/cuopt/user-guide/25.08.00/"
+    "url": "https://archive.docs.nvidia.com/cuopt/user-guide/25.08.00/"
   },
   {
     "version": "25.05",
-    "url": "https://docs.nvidia.com/cuopt/user-guide/25.05/"
+    "url": "https://archive.docs.nvidia.com/cuopt/user-guide/25.05/"
   },
   {
     "version": "25.02",
-    "url": "https://docs.nvidia.com/cuopt/user-guide/25.02/"
+    "url": "https://archive.docs.nvidia.com/cuopt/user-guide/25.02/"
   },
   {
     "version": "24.11",
-    "url": "https://docs.nvidia.com/cuopt/user-guide/24.11/"
+    "url": "https://archive.docs.nvidia.com/cuopt/user-guide/24.11/"
   }
 ]
diff --git a/python/cuopt/pyproject.toml b/python/cuopt/pyproject.toml
index 6cd97a839a..aadfbcc07d 100644
--- a/python/cuopt/pyproject.toml
+++ b/python/cuopt/pyproject.toml
@@ -20,17 +20,17 @@ license = "Apache-2.0"
 requires-python = ">=3.11"
 dependencies = [
     "cuda-python>=13.0.1,<14.0",
-    "cudf==26.6.*,>=0.0.0a0",
+    "cudf==26.6.*",
     "cupy-cuda13x>=13.6.0,!=14.0.0,!=14.1.0",
-    "libcuopt==26.6.*,>=0.0.0a0",
+    "libcuopt==26.6.*",
     "numba-cuda>=0.22.1",
     "numba>=0.60.0,<0.65.0",
     "numpy>=1.23.5,<3.0",
     "pandas>=2.0",
-    "pylibraft==26.6.*,>=0.0.0a0",
+    "pylibraft==26.6.*",
     "pyyaml>=6.0.0",
-    "rapids-logger==0.2.*,>=0.0.0a0",
-    "rmm==26.6.*,>=0.0.0a0",
+    "rapids-logger==0.2.*",
+    "rmm==26.6.*",
     "scipy>=1.14.1",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 classifiers = [
@@ -48,7 +48,7 @@ test = [
     "pytest-cov",
     "pytest-rerunfailures",
     "pytest<9.0",
-    "rapids-logger==0.2.*,>=0.0.0a0",
+    "rapids-logger==0.2.*",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 
 [project.urls]
@@ -103,9 +103,9 @@ requires = [
     "cmake>=4.0",
     "cupy-cuda13x>=13.6.0,!=14.0.0,!=14.1.0",
     "cython>=3.0.3",
-    "libcuopt==26.6.*,>=0.0.0a0",
+    "libcuopt==26.6.*",
     "ninja",
-    "pylibraft==26.6.*,>=0.0.0a0",
-    "rapids-logger==0.2.*,>=0.0.0a0",
-    "rmm==26.6.*,>=0.0.0a0",
+    "pylibraft==26.6.*",
+    "rapids-logger==0.2.*",
+    "rmm==26.6.*",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
diff --git a/python/cuopt_self_hosted/pyproject.toml b/python/cuopt_self_hosted/pyproject.toml
index 4de47de72e..b33e754597 100644
--- a/python/cuopt_self_hosted/pyproject.toml
+++ b/python/cuopt_self_hosted/pyproject.toml
@@ -40,7 +40,7 @@ test = [
     "pytest<9.0",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 mps = [
-    "cuopt-cu13==26.6.*,>=0.0.0a0",
+    "cuopt-cu13==26.6.*",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 
 [project.urls]
diff --git a/python/cuopt_server/pyproject.toml b/python/cuopt_server/pyproject.toml
index 4dd24d9f73..c52b09f763 100644
--- a/python/cuopt_server/pyproject.toml
+++ b/python/cuopt_server/pyproject.toml
@@ -21,7 +21,7 @@ license = "Apache-2.0"
 license-files = ["LICENSE"]
 requires-python = ">=3.11"
 dependencies = [
-    "cuopt==26.6.*,>=0.0.0a0",
+    "cuopt==26.6.*",
     "cupy-cuda13x>=13.6.0,!=14.0.0,!=14.1.0",
     "fastapi",
     "jsonref==1.1.0",
diff --git a/python/libcuopt/pyproject.toml b/python/libcuopt/pyproject.toml
index c1045eefd4..afec02eaa0 100644
--- a/python/libcuopt/pyproject.toml
+++ b/python/libcuopt/pyproject.toml
@@ -31,10 +31,10 @@ classifiers = [
 ]
 dependencies = [
     "cuda-toolkit[cublas,cudart,curand,cusolver,cusparse,nvtx]==13.*",
-    "librmm==26.6.*,>=0.0.0a0",
+    "librmm==26.6.*",
     "nvidia-cudss-cu13>=0.7,<0.8",
     "nvidia-nvjitlink>=13.0,<14",
-    "rapids-logger==0.2.*,>=0.0.0a0",
+    "rapids-logger==0.2.*",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 
 [project.urls]
@@ -76,7 +76,7 @@ dependencies-file = "../../dependencies.yaml"
 matrix-entry = "cuda_suffixed=true;use_cuda_wheels=true"
 requires = [
     "cmake>=4.0",
-    "librmm==26.6.*,>=0.0.0a0",
+    "librmm==26.6.*",
     "ninja",
-    "rapids-logger==0.2.*,>=0.0.0a0",
+    "rapids-logger==0.2.*",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.