diff --git a/conda/environments/all_cuda-118_arch-x86_64.yaml b/conda/environments/all_cuda-118_arch-x86_64.yaml
index 25abbc4be..295061d27 100644
--- a/conda/environments/all_cuda-118_arch-x86_64.yaml
+++ b/conda/environments/all_cuda-118_arch-x86_64.yaml
@@ -28,7 +28,7 @@ dependencies:
 - librmm==24.12.*,>=0.0.0a0
 - nanobind>=0.2.0
 - nbsphinx
-- nccl
+- nccl>=2.18.1.1
 - ninja
 - numpy>=1.23,<3.0a0
 - numpydoc
@@ -40,7 +40,7 @@ dependencies:
 - pytest-xdist
 - python>=3.10,<3.13
 - pytorch-cuda=11.8
-- pytorch=2.0.0
+- pytorch>=2.0,<2.4.0a0
 - rapids-build-backend>=0.3.0,<0.4.0.dev0
 - recommonmark
 - scikit-build-core>=0.10.0
diff --git a/conda/environments/all_cuda-125_arch-x86_64.yaml b/conda/environments/all_cuda-125_arch-x86_64.yaml
index fd929d956..565b59444 100644
--- a/conda/environments/all_cuda-125_arch-x86_64.yaml
+++ b/conda/environments/all_cuda-125_arch-x86_64.yaml
@@ -30,7 +30,7 @@ dependencies:
 - librmm==24.12.*,>=0.0.0a0
 - nanobind>=0.2.0
 - nbsphinx
-- nccl
+- nccl>=2.18.1.1
 - ninja
 - numpy>=1.23,<3.0a0
 - numpydoc
diff --git a/conda/recipes/libwholegraph/conda_build_config.yaml b/conda/recipes/libwholegraph/conda_build_config.yaml
index 35b1d6b62..8b6dd3439 100644
--- a/conda/recipes/libwholegraph/conda_build_config.yaml
+++ b/conda/recipes/libwholegraph/conda_build_config.yaml
@@ -17,7 +17,7 @@ doxygen_version:
   - ">=1.8.11"
 
 nccl_version:
-  - ">=2.9.9"
+  - ">=2.18.1.1"
 
 c_stdlib:
   - sysroot
diff --git a/dependencies.yaml b/dependencies.yaml
index 2b01f4e26..50e18a9df 100644
--- a/dependencies.yaml
+++ b/dependencies.yaml
@@ -87,7 +87,7 @@ dependencies:
           - libraft-headers==24.12.*,>=0.0.0a0
           - librmm==24.12.*,>=0.0.0a0
           - nanobind>=0.2.0
-          - nccl
+          - &nccl nccl>=2.18.1.1
     specific:
       - output_types: conda
         matrices:
@@ -216,14 +216,14 @@ dependencies:
     common:
       - output_types: [conda]
         packages:
-          - nccl
+          - *nccl
   test_python:
     common:
       - output_types: [conda]
         packages:
           - c-compiler
           - cxx-compiler
-          - nccl
+          - *nccl
       - output_types: [conda, requirements]
         packages:
           - ninja
@@ -285,13 +285,13 @@ dependencies:
               # If conda-forge supports the new cuda-* packages for CUDA 11.8
               # at some point, then we can fully support/properly specify
               # this environment.
-              - pytorch=2.0.0
+              - &pytorch pytorch>=2.0,<2.4.0a0
               - pytorch-cuda=11.8
           - matrix:
               arch: aarch64
               cuda: "11.8"
             packages:
-              - pytorch=2.0.0
+              - *pytorch
               - pytorch-cuda=11.8
           - matrix:
             packages:
@@ -318,7 +318,7 @@ dependencies:
     common:
       - output_types: [conda]
         packages:
-          - pytorch=2.0.0
+          - *pytorch
           - cpuonly
   clang_tools:
     common: