Update community/minutes/2025-05-28.md

Author: github-actions[bot]

community/minutes/2025-05-28.md

@@ -14,12 +14,11 @@ Add new agenda items under the `Your __new__() agenda items` heading
 
 | Name                    | Initials | GitHub ID        | Affiliation                 |
 | ----------------------- | -------- | ---------------  | --------------------------- |
-|                         |          |                  |                             |
-|                         |          |                  |                             |
-|                         |          |                  |                             |
-|                         |          |                  |                             |
-|                         |          |                  |                             |
-|                         |          |                  |                             |
+| Daniel Ching            | DJC      | carterbox        | NVIDIA/cf                   |
+| Filipe Fernandes        | FF       | ocefpaf          | conda-forge                 |
+| John Kirkham            | JK       | jakirkham        | NVIDIA/cf                   |
+| Jaime Rodríguez-Guerra  | JRG      | jaimergp         | Quansight/cf                |
+| Dasha Gurova            | DG       | dashagurova      | Anaconda                    |
 |                         |          |                  |                             |
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@@ -38,9 +37,51 @@ X people total
 
 - [ ]
 
-### Your __new__() agenda items
+### Your `__new__()` agenda items
+
+- [x] (HV) Drop CUDA 11.8: https://github.com/conda-forge/conda-forge-pinning-feedstock/issues/7404
+  - this is currently blocking the CUDA 12.(8,9) [migration](https://github.com/conda-forge/conda-forge-pinning-feedstock/pull/7005), which we need for supporting newer architectures like sm_120.
+  - Also is getting more painful to maintain (more complex to maintain than other CUDA versions)
+  - Seeing fewer user downloads
+  - (DJC) Dropping CUDA Toolkit (CTK) 11.8 support from conda-forge is fine by NVIDIA; we'll support CTK 11.8 in our products' feedstocks if we decide we need to extend support
+  - Overall consensus to do this, make announcement and execute in 1-2 weeks.
+  - (JRG) When doing CUDA Docker images get dropped?
+  - (JK) Support is based on associated driver version support
+    - https://gitlab.com/nvidia/container-images/cuda/-/issues/177
+- [x] (HV) Compiler upgrades: GCC 14 & Clang 19: https://github.com/conda-forge/conda-forge-pinning-feedstock/pull/7421
+  - Make announcement once remaining PRs are in and tested 
+- [x] (HV) Move to VS2022: https://github.com/conda-forge/conda-forge.github.io/issues/2138
+  - (DJC) We should just try it in some CUDA feedstocks if we're concerned about compatability
+      - (DJC) CUDA 11.8 only works with a earlier VS2022 version. It is not compatible with the latest VS2022. For CUDA 12.4+, this is not an issue.  Details in https://github.com/conda-forge/conda-forge.github.io/issues/2138#issuecomment-2913390542 and following.
+      - (HV) Given we are ok dropping CUDA 11.8, we should be ok.
+  - (IF) Azure/GitHub Actions still have VS2019, but it is in a different location.
+  - Plan is to move forward with VS2022.
+  - (HV) Make announcement once ready
+- [x] (HV) Dealing with C++/Fortran modules (https://github.com/conda-forge/conda-forge.github.io/issues/2525) -- we probably need to implement `host_exports` (https://github.com/conda/ceps/issues/77)
+  - Not a theoretical concern; we're hitting this on some Fortran feedstocks: https://github.com/conda-forge/flang-activation-feedstock/issues/14
+  - Planning to follow up on issue
+- [x] (HV) Follow through on numpy 2 migration closure: https://github.com/conda-forge/conda-forge.github.io/pull/2522
+    - (JK) Bulk of libraries support NumPy 2
+        - https://github.com/numpy/numpy/issues/26191
+- [x] (HV) Pytorch 2.7 [migration](https://github.com/conda-forge/conda-forge-pinning-feedstock/pull/7348) blocked since ~one month due to -- is there a way to debug/fix this, or do we want to migrate without windows?
+    - (IF) Is the package on cf-staging that we can copy over?
+        - (HV) Need to check whether this could be an option
+    - (IF) Other option would be caching on CI and copying over
+        - (HV) Think this doesn't work with the GPU builds
+        - (JRG) Checking with Amit just to make sure
+- [x] (DJC) Tegra CUDA Toolkit Migration announcement https://github.com/conda-forge/cuda-feedstock/issues/57
+    - (IF) Can we figure out a way of building for SBSA & Tegra in the same build?
+        - (DJC) Would be unsupported
+            - (IF) We do other custom things to make life easier on our maintainers. Think this would still be valuable
+            - (IF) This would also avoid the need for a migrator.
+            - (DJC) Would like to do some simple tests to see how packages behave
+- [x] (JRG) Core activity check in https://github.com/conda-forge/governance/issues/1
+- [x] (JRG) CPython supported releases policy discussion at https://github.com/conda-forge/python-feedstock/issues/794 (prompted by 3.14 rcs coming soon)
+    - (JRG) Please comment here
+    - (IF) Is this the right place to discuss the matrix?
+        - (HV) Useful for discoverability
+        - (JK) Important to note we will keep the python package updated to continue to support the matrix.
 
-- [ ]
 
 ### Pushed to next meeting