Add new accelerate

docs/maintainer/knowledge_base.md

@@ -1295,23 +1295,30 @@ requirements:
 You can switch your BLAS implementation by doing,
 
 ```bash
-conda install "libblas=*=*mkl"
-conda install "libblas=*=*openblas"
-conda install "libblas=*=*blis"
-conda install "libblas=*=*accelerate"
-conda install "libblas=*=*netlib"
+conda install "libblas=*=*_mkl"
+conda install "libblas=*=*_openblas"
+conda install "libblas=*=*_blis"
+conda install "libblas=*=*_accelerate"
+conda install "libblas=*=*_newaccelerate"
+conda install "libblas=*=*_netlib"
 ```
 
 This would change the BLAS implementation without changing the conda packages depending
 on BLAS.
 
+:::note
+
+For macOS 13.3+, you can use `newaccelerate` to use the new BLAS/LAPACK
+support in Accelerate.
+
 The following legacy commands are also supported as well.
 
 ```bash
 conda install "blas=*=mkl"
 conda install "blas=*=openblas"
 conda install "blas=*=blis"
 conda install "blas=*=accelerate"
+conda install "blas=*=newaccelerate"
 conda install "blas=*=netlib"
 ```
 

news/2025-07-31-new-accelerate-macos.md

@@ -0,0 +1,17 @@
+# New Accelerate support for macOS 13.3+
+
+conda-forge by default uses `OpenBLAS` as its BLAS and LAPACK
+provider on macOS as it was updated regularly and is the least
+buggiest performant BLAS/LAPACK implementation.
+
+macOS 13.3 updated the Accelerate framework after a long time with
+improved support for LAPACK APIs and has fixes for long-time known
+bugs in the older Accelerate's BLAS and LAPACK APIs.
+conda-forge has added support for this
+new Accelerate framework by using a shim library to expose its
+functionality to most conda-forge packages including `numpy`,
+`scipy` and `pytorch`.
+
+You can use it by doing
+
+    conda install libblas=*=*_newaccelerate