diff --git a/images/minimal-notebook/setup-scripts/setup-julia-packages.bash b/images/minimal-notebook/setup-scripts/setup-julia-packages.bash
index 5e8f7e80..14a77407 100755
--- a/images/minimal-notebook/setup-scripts/setup-julia-packages.bash
+++ b/images/minimal-notebook/setup-scripts/setup-julia-packages.bash
@@ -11,20 +11,20 @@ set -exuo pipefail
 # container runs on a host that's the same architecture, but a *different*
 # generation of CPU than what the build host was, the precompilation is useless
 # and Julia takes a long long time to start up. This specific multitarget comes
-# from https://github.com/JuliaCI/julia-buildkite/blob/70bde73f6cb17d4381b62236fc2d96b1c7acbba7/utilities/build_envs.sh#L20-L76,
+# from https://github.com/JuliaCI/julia-buildkite/blob/9f354745a1f2bf31a5952462aa1ff2d869507cb8/utilities/build_envs.sh#L20-L82,
 # and may need to be updated as new CPU generations come out.
 # If the architecture the container runs on is different,
 # precompilation may still have to be re-done on first startup - but this
 # *should* catch most of the issues.  See
 # https://github.com/jupyter/docker-stacks/issues/2015 for more information
 if [ "$(uname -m)" == "x86_64" ]; then
-    # See https://github.com/JuliaCI/julia-buildkite/blob/70bde73f6cb17d4381b62236fc2d96b1c7acbba7/utilities/build_envs.sh#L24
+    # See https://github.com/JuliaCI/julia-buildkite/blob/9f354745a1f2bf31a5952462aa1ff2d869507cb8/utilities/build_envs.sh#L23
     # for an explanation of these options
-    export JULIA_CPU_TARGET="generic;sandybridge,-xsaveopt,clone_all;haswell,-rdrnd,base(1)"
+    export JULIA_CPU_TARGET="generic;sandybridge,-xsaveopt,clone_all;haswell,-rdrnd,base(1);x86-64-v4,-rdrnd,base(1)"
 elif [ "$(uname -m)" == "aarch64" ]; then
-    # See https://github.com/JuliaCI/julia-buildkite/blob/70bde73f6cb17d4381b62236fc2d96b1c7acbba7/utilities/build_envs.sh#L54
+    # See https://github.com/JuliaCI/julia-buildkite/blob/9f354745a1f2bf31a5952462aa1ff2d869507cb8/utilities/build_envs.sh#L56
     # for an explanation of these options
-    export JULIA_CPU_TARGET="generic;cortex-a57;thunderx2t99;carmel"
+    export JULIA_CPU_TARGET="generic;cortex-a57;thunderx2t99;carmel,clone_all;apple-m1,base(3);neoverse-512tvb,base(3)"
 fi
 
 # Install base Julia packages