Add nvidia 595 driver by vigh-m · Pull Request #424 · bottlerocket-os/bottlerocket-kernel-kit

vigh-m · 2026-05-05T20:12:11Z

Related: bottlerocket-os/bottlerocket#4816

Description of changes:

Add kernel module packages for Nvidia 595 driver version 595.71.05.
Diff between 6.12-r580 and 6.12-r595

Details

diff --git 1/packages/kmod-6.12-nvidia-r580/Cargo.toml 2/packages/kmod-6.12-nvidia-r595/Cargo.toml
index 0af08d5..9447bb1 100644
--- 1/packages/kmod-6.12-nvidia-r580/Cargo.toml
+++ 2/packages/kmod-6.12-nvidia-r595/Cargo.toml
@@ -1,5 +1,5 @@
 [package]
-name = "kmod-6_12-nvidia-r580"
+name = "kmod-6_12-nvidia-r595"
 version = "0.1.0"
 edition = "2021"
 publish = false
@@ -9,7 +9,7 @@ build = "../build.rs"
 path = "../packages.rs"

 [package.metadata.build-package]
-package-name = "kmod-6.12-nvidia-r580"
+package-name = "kmod-6.12-nvidia-r595"
 releases-url = "https://docs.nvidia.com/datacenter/tesla/"

 [[package.metadata.build-package.external-files]]
@@ -21,42 +21,42 @@ url = "https://aws-nvidia-license-agreement.s3.amazonaws.com/NvidiaGridAWSUserLi
 sha512 = "915d76bc26f7b39202883b6f902ebde1194d1f3e45e6c858ee42ac48615e4b315c658ba78d24bd72a3011289c2ea888ee17089f674497f1cba58d0e0c8f37c7a"

 [[package.metadata.build-package.external-files]]
-url = "https://us.download.nvidia.com/tesla/580.126.09/NVIDIA-Linux-x86_64-580.126.09.run"
-sha512 = "d5c41131304b29d55d0caf8cd84c95b454d81e68d7b23ca893504c63d84dd78726e2dbd7f076b7f12be518e641d110d131ac178336d61a00bcc81b7a1890799d"
+url = "https://us.download.nvidia.com/tesla/595.71.05/NVIDIA-Linux-x86_64-595.71.05.run"
+sha512 = "75d22994ba963223300d3c57fdc05803ddf7d8630fb5aee3ba92017d6f614e4a7019dc09f0f02b02ec28d6d5607e284d4e6de2cd506eeda604f75a2d4177028a"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://us.download.nvidia.com/tesla/580.126.09/NVIDIA-Linux-aarch64-580.126.09.run"
-sha512 = "7ec0fd917bade1eb14b135bab2ade17a5116546190c3011379be7105404485016e26a5fb1ece5a4800eea39ac10c1abea19cc40be6f8f31188b3eeb78344a6c7"
+url = "https://us.download.nvidia.com/tesla/595.71.05/NVIDIA-Linux-aarch64-595.71.05.run"
+sha512 = "a2d4ee2c260e34c16b7e04e9dbbe3a8ca486279e7743fb2b95ffa02cedb5e42ad7c5dc4c26fead86cd3a7d7ccf7467439d93691e0e0ce66e8425e622a07bf050"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-fabricmanager-580.126.09-1.x86_64.rpm"
-sha512 = "17dce541c27a445b062e30f907236a5135b7f1a85cb2f9962a9fd6ca25c7a6a990b7b78b6b07d12f63b78c9a06934c6c24738920ef5f4bd12d9d4df0d36be271"
+url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-fabricmanager-595.71.05-1.amzn2023.x86_64.rpm"
+sha512 = "b191869cb1b9ef1878141c2ffff551f14fd21252aab9ff3b5f14d40ba453d222ba4c05229556f408590b67d65091e23b11841a0e6042bbf376719316379518e2"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-fabricmanager-580.126.09-1.aarch64.rpm"
-sha512 = "dc6c9cd706426e379d0fefe8e5073149226fc6b69bda691c45b25faec7b3739c452325c32bbed225e51f2365abf4748d33ee67496aadf3ed93b12768b65ca419"
+url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-fabricmanager-595.71.05-1.amzn2023.aarch64.rpm"
+sha512 = "b0936d35372fd179a3fb98972f1c8575f0be65f82f5df93409d7041bfb2db85b26e35dad0dafb30c1fafb907d8570fb96433de5b45e7d9af02ff5348df13d986"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-imex-580.126.09-1.x86_64.rpm"
-sha512 = "ff4f10a4654c837106c44c98ef888178be5eda53996fba1e3223352188bb1b94c18aeb7fec17426891a3439fc4233bec37c9811f97c7d6964e0baa6503aff24d"
+url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-imex-595.71.05-1.amzn2023.x86_64.rpm"
+sha512 = "dfc33b2cf20967ec81dda969f44bac418bbef46789d9b3912836111e96ec3d0aefb59b3751f46c03ce8de16e8e2ce9df97d647bcbc06aa31fb9b5bcdd65b921e"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-imex-580.126.09-1.aarch64.rpm"
-sha512 = "7eaf9bddc2786d5c38318d80882de729e03aef252f9bdd265afaac4a2c7d58bc4eab39b37c65538ec4d195857623c7b13dca75d946b61ab1a73f73f8a1f09d10"
+url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-imex-595.71.05-1.amzn2023.aarch64.rpm"
+sha512 = "a888a1d7f0f8030b39e4eb064c090535dd3b2a3c9fc72a4e95e418450bf1d8336e4966ed63c02eec2326faec7ee990f698a5127b9e816b821ffdffdaf26755bc"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://s3.amazonaws.com/ec2-linux-nvidia-drivers/grid-19.4/NVIDIA-Linux-x86_64-580.126.09-grid-aws.run"
-sha512 = "4c8a189a1871354b8036c9831968877e9634b69aca3417ad2672e7515da9e8e84c9b1496ea29ea25b4be7062aa36508bf69d82afec1af0ed3d8ee2dec6a07741"
+url = "https://s3.amazonaws.com/ec2-linux-nvidia-drivers/grid-20.1/NVIDIA-Linux-x86_64-595.71.05-grid-aws.run"
+sha512 = "1314ac113d02c560ee231db9597893bf906223b0b86af2e9d38b56363daa0c1806109df88684971b8f4d08b945c6738db0c0fd3432d0904d53e5a368bbb4dc2e"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://raw.githubusercontent.com/NVIDIA/open-gpu-kernel-modules/580.126.09/COPYING"
+url = "https://raw.githubusercontent.com/NVIDIA/open-gpu-kernel-modules/595.71.05/COPYING"
 sha512 = "f9cee68cbb12095af4b4e92d01c210461789ef41c70b64efefd6719d0b88468b7a67a3629c432d4d9304c730b5d1a942228a5bcc74a03ab1c411c77c758cd938"
 force-upstream = true

diff --git 1/packages/kmod-6.12-nvidia-r580/kmod-6.12-nvidia-r580.spec 2/packages/kmod-6.12-nvidia-r595/kmod-6.12-nvidia-r595.spec
similarity index 96%
rename from packages/kmod-6.12-nvidia-r580/kmod-6.12-nvidia-r580.spec
rename to packages/kmod-6.12-nvidia-r595/kmod-6.12-nvidia-r595.spec
index d45a3ec..bec501f 100644
--- 1/packages/kmod-6.12-nvidia-r580/kmod-6.12-nvidia-r580.spec
+++ 2/packages/kmod-6.12-nvidia-r595/kmod-6.12-nvidia-r595.spec
@@ -1,8 +1,8 @@
-%global tesla_major 580
-%global tesla_minor 126
-%global tesla_patch 09
+%global tesla_major 595
+%global tesla_minor 71
+%global tesla_patch 05
 %global tesla_ver %{tesla_major}.%{tesla_minor}.%{tesla_patch}
-%global grid_ver grid-19.4
+%global grid_ver grid-20.1
 %if "%{?_cross_arch}" == "aarch64"
 %global nvidia_arch sbsa
 %else
@@ -19,11 +19,11 @@
 # Redefine strip, so that these firmware binaries do not derail the build.
 %global __strip /usr/bin/true

-Name: %{_cross_os}kmod-6.12-nvidia-r580
+Name: %{_cross_os}kmod-6.12-nvidia-r595
 Version: %{tesla_ver}
 Release: 1%{?dist}
 Epoch: 1
-Summary: NVIDIA r580 drivers for the 6.12 kernel
+Summary: NVIDIA r595 drivers for the 6.12 kernel
 # We use these licences because we only ship our own software in the main package,
 # each subpackage includes the LICENSE file provided by the Licenses.toml file
 License: Apache-2.0 OR MIT
@@ -39,12 +39,12 @@ Source4: COPYING
 Source5: NvidiaGridAWSUserLicenseAgreement.DOCX

 # fabricmanager for NVSwitch
-Source10: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-fabricmanager-%{tesla_ver}-1.x86_64.rpm
-Source11: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-fabricmanager-%{tesla_ver}-1.aarch64.rpm
+Source10: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-fabricmanager-%{tesla_ver}-1.amzn2023.x86_64.rpm
+Source11: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-fabricmanager-%{tesla_ver}-1.amzn2023.aarch64.rpm

 # IMEX for GB200
-Source20: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-imex-%{tesla_ver}-1.x86_64.rpm
-Source21: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-imex-%{tesla_ver}-1.aarch64.rpm
+Source20: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-imex-%{tesla_ver}-1.amzn2023.x86_64.rpm
+Source21: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-imex-%{tesla_ver}-1.amzn2023.aarch64.rpm

 # Common NVIDIA conf files from 200 to 299
 Source200: nvidia-tmpfiles.conf.in
@@ -174,7 +174,7 @@ popd
 # Extract fabricmanager from the rpm via cpio rather than `%%setup` since the
 # correct source is architecture-dependent.
 mkdir fabricmanager-linux-%{nvidia_arch}-%{tesla_ver}-archive
-rpm2cpio %{_sourcedir}/nvidia-fabricmanager-%{tesla_ver}-1.%{_cross_arch}.rpm | cpio -idmV -D fabricmanager-linux-%{nvidia_arch}-%{tesla_ver}-archive
+rpm2cpio %{_sourcedir}/nvidia-fabricmanager-%{tesla_ver}-1.amzn2023.%{_cross_arch}.rpm | cpio -idmV -D fabricmanager-linux-%{nvidia_arch}-%{tesla_ver}-archive

 # Add the license.
 install -p -m 0644 %{S:3} %{S:4} %{S:5} .
@@ -182,7 +182,7 @@ install -p -m 0644 %{S:3} %{S:4} %{S:5} .
 # Extract imex from the rpm via cpio rather than `%%setup` since the
 # correct source is architecture-dependent.
 mkdir imex-%{nvidia_arch}-%{tesla_ver}-archive
-rpm2cpio %{_sourcedir}/nvidia-imex-%{tesla_ver}-1.%{_cross_arch}.rpm | cpio -idmV -D imex-%{nvidia_arch}-%{tesla_ver}-archive
+rpm2cpio %{_sourcedir}/nvidia-imex-%{tesla_ver}-1.amzn2023.%{_cross_arch}.rpm | cpio -idmV -D imex-%{nvidia_arch}-%{tesla_ver}-archive

 # This recipe was based in the NVIDIA yum/dnf specs:
 # https://github.com/NVIDIA/yum-packaging-precompiled-kmod
@@ -567,15 +567,19 @@ popd
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl36r1_c2g4_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl4r1_c2g2_etf_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl576r16_c2g4_topology
+%{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl576r4_c2g4_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl72r1_c2g4_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl72r2_c2g2_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl72r2_c2g4_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl8r1_c2g4_etf_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl8r1_c2g4_etf_nso_topology
+%{_cross_datadir}/nvidia/tesla/nvswitch/gb300_nvl72r1_c2g4_kyber_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb300_nvl72r1_c2g4_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb300_nvl72r2_c2g4_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gh200_nvlink_32gpus_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/mgxh20_nvl16_topology
+%{_cross_datadir}/nvidia/tesla/nvswitch/vr_nvl144r1_c2g4_topology
+%{_cross_datadir}/nvidia/tesla/nvswitch/vr_nvl16r1_c2g4_rtf_topology

 # Configuration files
 %{_cross_factorydir}%{_cross_sysconfdir}/drivers/nvidia-tesla.toml
@@ -663,11 +667,14 @@ popd
 %{_cross_libdir}/nvidia/tesla/libnvcuvid.so.1

 # Graphics libs
+%{_cross_libdir}/nvidia/tesla/libnvidia-egl-wayland2.so.1
+%{_cross_libdir}/nvidia/tesla/libnvidia-egl-wayland2.so.1.0.1
 %{_cross_libdir}/nvidia/tesla/libnvidia-eglcore.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libnvidia-glcore.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libnvidia-tls.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libnvidia-glsi.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libnvidia-rtcore.so.%{tesla_ver}
+%{_cross_libdir}/nvidia/tesla/libnvidia-tileiras.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libnvidia-fbc.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libnvidia-fbc.so.1
 %{_cross_libdir}/nvidia/tesla/libnvoptix.so.%{tesla_ver}
@@ -684,9 +691,7 @@ popd
 %{_cross_libdir}/nvidia/tesla/libGLESv2_nvidia.so.2
 %{_cross_libdir}/nvidia/tesla/libGLESv1_CM_nvidia.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libGLESv1_CM_nvidia.so.1
-%if "%{_cross_arch}" == "x86_64"
 %{_cross_libdir}/nvidia/tesla/libnvidia-present.so.%{tesla_ver}
-%endif

 # Graphics compat
 %{_cross_libdir}/nvidia/tesla/libEGL.so.1.1.0
@@ -732,9 +737,9 @@ popd
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-gbm.so.1.1.3
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-wayland.so.1.1.20
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xcb.so.1
-%exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xcb.so.1.0.4
+%exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xcb.so.1.0.5
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xlib.so.1
-%exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xlib.so.1.0.4
+%exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xlib.so.1.0.5
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-sandboxutils.so.1
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-sandboxutils.so.%{tesla_ver}
 %if "%{_cross_arch}" == "x86_64"

Diff between 6.18-580 and 6.18-595

Details

diff --git 1/packages/kmod-6.18-nvidia-r580/Cargo.toml 2/packages/kmod-6.18-nvidia-r595/Cargo.toml
index 8d6f2ab..d9cd25c 100644
--- 1/packages/kmod-6.18-nvidia-r580/Cargo.toml
+++ 2/packages/kmod-6.18-nvidia-r595/Cargo.toml
@@ -1,5 +1,5 @@
 [package]
-name = "kmod-6_18-nvidia-r580"
+name = "kmod-6_18-nvidia-r595"
 version = "0.1.0"
 edition = "2021"
 publish = false
@@ -9,7 +9,7 @@ build = "../build.rs"
 path = "../packages.rs"

 [package.metadata.build-package]
-package-name = "kmod-6.18-nvidia-r580"
+package-name = "kmod-6.18-nvidia-r595"
 releases-url = "https://docs.nvidia.com/datacenter/tesla/"

 [[package.metadata.build-package.external-files]]
@@ -21,42 +21,42 @@ url = "https://aws-nvidia-license-agreement.s3.amazonaws.com/NvidiaGridAWSUserLi
 sha512 = "915d76bc26f7b39202883b6f902ebde1194d1f3e45e6c858ee42ac48615e4b315c658ba78d24bd72a3011289c2ea888ee17089f674497f1cba58d0e0c8f37c7a"

 [[package.metadata.build-package.external-files]]
-url = "https://us.download.nvidia.com/tesla/580.126.09/NVIDIA-Linux-x86_64-580.126.09.run"
-sha512 = "d5c41131304b29d55d0caf8cd84c95b454d81e68d7b23ca893504c63d84dd78726e2dbd7f076b7f12be518e641d110d131ac178336d61a00bcc81b7a1890799d"
+url = "https://us.download.nvidia.com/tesla/595.71.05/NVIDIA-Linux-x86_64-595.71.05.run"
+sha512 = "75d22994ba963223300d3c57fdc05803ddf7d8630fb5aee3ba92017d6f614e4a7019dc09f0f02b02ec28d6d5607e284d4e6de2cd506eeda604f75a2d4177028a"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://us.download.nvidia.com/tesla/580.126.09/NVIDIA-Linux-aarch64-580.126.09.run"
-sha512 = "7ec0fd917bade1eb14b135bab2ade17a5116546190c3011379be7105404485016e26a5fb1ece5a4800eea39ac10c1abea19cc40be6f8f31188b3eeb78344a6c7"
+url = "https://us.download.nvidia.com/tesla/595.71.05/NVIDIA-Linux-aarch64-595.71.05.run"
+sha512 = "a2d4ee2c260e34c16b7e04e9dbbe3a8ca486279e7743fb2b95ffa02cedb5e42ad7c5dc4c26fead86cd3a7d7ccf7467439d93691e0e0ce66e8425e622a07bf050"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-fabricmanager-580.126.09-1.x86_64.rpm"
-sha512 = "17dce541c27a445b062e30f907236a5135b7f1a85cb2f9962a9fd6ca25c7a6a990b7b78b6b07d12f63b78c9a06934c6c24738920ef5f4bd12d9d4df0d36be271"
+url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-fabricmanager-595.71.05-1.amzn2023.x86_64.rpm"
+sha512 = "b191869cb1b9ef1878141c2ffff551f14fd21252aab9ff3b5f14d40ba453d222ba4c05229556f408590b67d65091e23b11841a0e6042bbf376719316379518e2"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-fabricmanager-580.126.09-1.aarch64.rpm"
-sha512 = "dc6c9cd706426e379d0fefe8e5073149226fc6b69bda691c45b25faec7b3739c452325c32bbed225e51f2365abf4748d33ee67496aadf3ed93b12768b65ca419"
+url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-fabricmanager-595.71.05-1.amzn2023.aarch64.rpm"
+sha512 = "b0936d35372fd179a3fb98972f1c8575f0be65f82f5df93409d7041bfb2db85b26e35dad0dafb30c1fafb907d8570fb96433de5b45e7d9af02ff5348df13d986"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-imex-580.126.09-1.x86_64.rpm"
-sha512 = "ff4f10a4654c837106c44c98ef888178be5eda53996fba1e3223352188bb1b94c18aeb7fec17426891a3439fc4233bec37c9811f97c7d6964e0baa6503aff24d"
+url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-imex-595.71.05-1.amzn2023.x86_64.rpm"
+sha512 = "dfc33b2cf20967ec81dda969f44bac418bbef46789d9b3912836111e96ec3d0aefb59b3751f46c03ce8de16e8e2ce9df97d647bcbc06aa31fb9b5bcdd65b921e"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-imex-580.126.09-1.aarch64.rpm"
-sha512 = "7eaf9bddc2786d5c38318d80882de729e03aef252f9bdd265afaac4a2c7d58bc4eab39b37c65538ec4d195857623c7b13dca75d946b61ab1a73f73f8a1f09d10"
+url = "https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-imex-595.71.05-1.amzn2023.aarch64.rpm"
+sha512 = "a888a1d7f0f8030b39e4eb064c090535dd3b2a3c9fc72a4e95e418450bf1d8336e4966ed63c02eec2326faec7ee990f698a5127b9e816b821ffdffdaf26755bc"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://s3.amazonaws.com/ec2-linux-nvidia-drivers/grid-19.4/NVIDIA-Linux-x86_64-580.126.09-grid-aws.run"
-sha512 = "4c8a189a1871354b8036c9831968877e9634b69aca3417ad2672e7515da9e8e84c9b1496ea29ea25b4be7062aa36508bf69d82afec1af0ed3d8ee2dec6a07741"
+url = "https://s3.amazonaws.com/ec2-linux-nvidia-drivers/grid-20.1/NVIDIA-Linux-x86_64-595.71.05-grid-aws.run"
+sha512 = "1314ac113d02c560ee231db9597893bf906223b0b86af2e9d38b56363daa0c1806109df88684971b8f4d08b945c6738db0c0fd3432d0904d53e5a368bbb4dc2e"
 force-upstream = true

 [[package.metadata.build-package.external-files]]
-url = "https://raw.githubusercontent.com/NVIDIA/open-gpu-kernel-modules/580.126.09/COPYING"
+url = "https://raw.githubusercontent.com/NVIDIA/open-gpu-kernel-modules/595.71.05/COPYING"
 sha512 = "f9cee68cbb12095af4b4e92d01c210461789ef41c70b64efefd6719d0b88468b7a67a3629c432d4d9304c730b5d1a942228a5bcc74a03ab1c411c77c758cd938"
 force-upstream = true

diff --git 1/packages/kmod-6.18-nvidia-r580/kmod-6.18-nvidia-r580.spec 2/packages/kmod-6.18-nvidia-r595/kmod-6.18-nvidia-r595.spec
similarity index 95%
rename from packages/kmod-6.18-nvidia-r580/kmod-6.18-nvidia-r580.spec
rename to packages/kmod-6.18-nvidia-r595/kmod-6.18-nvidia-r595.spec
index 52f395c..83c6c43 100644
--- 1/packages/kmod-6.18-nvidia-r580/kmod-6.18-nvidia-r580.spec
+++ 2/packages/kmod-6.18-nvidia-r595/kmod-6.18-nvidia-r595.spec
@@ -1,8 +1,8 @@
-%global tesla_major 580
-%global tesla_minor 126
-%global tesla_patch 09
+%global tesla_major 595
+%global tesla_minor 71
+%global tesla_patch 05
 %global tesla_ver %{tesla_major}.%{tesla_minor}.%{tesla_patch}
-%global grid_ver grid-19.4
+%global grid_ver grid-20.1
 %if "%{?_cross_arch}" == "aarch64"
 %global nvidia_arch sbsa
 %else
@@ -19,11 +19,11 @@
 # Redefine strip, so that these firmware binaries do not derail the build.
 %global __strip /usr/bin/true

-Name: %{_cross_os}kmod-6.18-nvidia-r580
+Name: %{_cross_os}kmod-6.18-nvidia-r595
 Version: %{tesla_ver}
 Release: 1%{?dist}
 Epoch: 1
-Summary: NVIDIA r580 drivers for the 6.18 kernel
+Summary: NVIDIA r595 drivers for the 6.18 kernel
 # We use these licences because we only ship our own software in the main package,
 # each subpackage includes the LICENSE file provided by the Licenses.toml file
 License: Apache-2.0 OR MIT
@@ -39,12 +39,12 @@ Source4: COPYING
 Source5: NvidiaGridAWSUserLicenseAgreement.DOCX

 # fabricmanager for NVSwitch
-Source10: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-fabricmanager-%{tesla_ver}-1.x86_64.rpm
-Source11: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-fabricmanager-%{tesla_ver}-1.aarch64.rpm
+Source10: https://developer.download.nvidia.com/compute/nvidia-fabricmanager/%{tesla_ver}/nvidia-fabricmanager-%{tesla_ver}-1.amzn2023.x86_64.rpm
+Source11: https://developer.download.nvidia.com/compute/nvidia-fabricmanager/%{tesla_ver}/nvidia-fabricmanager-%{tesla_ver}-1.amzn2023.aarch64.rpm

 # IMEX for GB200
-Source20: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/x86_64/nvidia-imex-%{tesla_ver}-1.x86_64.rpm
-Source21: https://developer.download.nvidia.com/compute/cuda/repos/amzn2023/sbsa/nvidia-imex-%{tesla_ver}-1.aarch64.rpm
+Source20: https://developer.download.nvidia.com/compute/nvidia-imex/%{tesla_ver}/nvidia-imex-%{tesla_ver}-1.x86_64.rpm
+Source21: https://developer.download.nvidia.com/compute/nvidia-imex/%{tesla_ver}/nvidia-imex-%{tesla_ver}-1.aarch64.rpm

 # Common NVIDIA conf files from 200 to 299
 Source200: nvidia-tmpfiles.conf.in
@@ -174,7 +174,7 @@ popd
 # Extract fabricmanager from the rpm via cpio rather than `%%setup` since the
 # correct source is architecture-dependent.
 mkdir fabricmanager-linux-%{nvidia_arch}-%{tesla_ver}-archive
-rpm2cpio %{_sourcedir}/nvidia-fabricmanager-%{tesla_ver}-1.%{_cross_arch}.rpm | cpio -idmV -D fabricmanager-linux-%{nvidia_arch}-%{tesla_ver}-archive
+rpm2cpio %{_sourcedir}/nvidia-fabricmanager-%{tesla_ver}-1.amzn2023.%{_cross_arch}.rpm | cpio -idmV -D fabricmanager-linux-%{nvidia_arch}-%{tesla_ver}-archive

 # Add the license.
 install -p -m 0644 %{S:3} %{S:4} %{S:5} .
@@ -182,7 +182,7 @@ install -p -m 0644 %{S:3} %{S:4} %{S:5} .
 # Extract imex from the rpm via cpio rather than `%%setup` since the
 # correct source is architecture-dependent.
 mkdir imex-%{nvidia_arch}-%{tesla_ver}-archive
-rpm2cpio %{_sourcedir}/nvidia-imex-%{tesla_ver}-1.%{_cross_arch}.rpm | cpio -idmV -D imex-%{nvidia_arch}-%{tesla_ver}-archive
+rpm2cpio %{_sourcedir}/nvidia-imex-%{tesla_ver}-1.amzn2023.%{_cross_arch}.rpm | cpio -idmV -D imex-%{nvidia_arch}-%{tesla_ver}-archive

 # This recipe was based in the NVIDIA yum/dnf specs:
 # https://github.com/NVIDIA/yum-packaging-precompiled-kmod
@@ -567,15 +567,19 @@ popd
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl36r1_c2g4_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl4r1_c2g2_etf_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl576r16_c2g4_topology
+%{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl576r4_c2g4_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl72r1_c2g4_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl72r2_c2g2_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl72r2_c2g4_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl8r1_c2g4_etf_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb200_nvl8r1_c2g4_etf_nso_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb300_nvl72r1_c2g4_topology
+%{_cross_datadir}/nvidia/tesla/nvswitch/gb300_nvl72r1_c2g4_kyber_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gb300_nvl72r2_c2g4_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/gh200_nvlink_32gpus_topology
 %{_cross_datadir}/nvidia/tesla/nvswitch/mgxh20_nvl16_topology
+%{_cross_datadir}/nvidia/tesla/nvswitch/vr_nvl144r1_c2g4_topology
+%{_cross_datadir}/nvidia/tesla/nvswitch/vr_nvl16r1_c2g4_rtf_topology

 # Configuration files
 %{_cross_factorydir}%{_cross_sysconfdir}/drivers/nvidia-tesla.toml
@@ -666,6 +670,7 @@ popd
 %{_cross_libdir}/nvidia/tesla/libnvidia-eglcore.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libnvidia-glcore.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libnvidia-tls.so.%{tesla_ver}
+%{_cross_libdir}/nvidia/tesla/libnvidia-tileiras.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libnvidia-glsi.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libnvidia-rtcore.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libnvidia-fbc.so.%{tesla_ver}
@@ -684,9 +689,7 @@ popd
 %{_cross_libdir}/nvidia/tesla/libGLESv2_nvidia.so.2
 %{_cross_libdir}/nvidia/tesla/libGLESv1_CM_nvidia.so.%{tesla_ver}
 %{_cross_libdir}/nvidia/tesla/libGLESv1_CM_nvidia.so.1
-%if "%{_cross_arch}" == "x86_64"
 %{_cross_libdir}/nvidia/tesla/libnvidia-present.so.%{tesla_ver}
-%endif

 # Graphics compat
 %{_cross_libdir}/nvidia/tesla/libEGL.so.1.1.0
@@ -731,10 +734,12 @@ popd
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-gbm.so.1
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-gbm.so.1.1.3
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-wayland.so.1.1.20
+%exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-wayland2.so.1
+%exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-wayland2.so.1.0.1
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xcb.so.1
-%exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xcb.so.1.0.4
+%exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xcb.so.1.0.5
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xlib.so.1
-%exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xlib.so.1.0.4
+%exclude %{_cross_libdir}/nvidia/tesla/libnvidia-egl-xlib.so.1.0.5
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-sandboxutils.so.1
 %exclude %{_cross_libdir}/nvidia/tesla/libnvidia-sandboxutils.so.%{tesla_ver}
 %if "%{_cross_arch}" == "x86_64"

Testing done:

Details

bash-5.2# nvidia-smi
Tue May  5 17:41:49 2026
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.71.05              Driver Version: 595.71.05      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA A100-SXM4-40GB          On  |   00000000:10:1C.0 Off |                    0 |
| N/A   30C    P0             49W /  400W |       0MiB /  40960MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   1  NVIDIA A100-SXM4-40GB          On  |   00000000:10:1D.0 Off |                    0 |
| N/A   29C    P0             51W /  400W |       0MiB /  40960MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   2  NVIDIA A100-SXM4-40GB          On  |   00000000:20:1C.0 Off |                    0 |
| N/A   30C    P0             53W /  400W |       0MiB /  40960MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   3  NVIDIA A100-SXM4-40GB          On  |   00000000:20:1D.0 Off |                    0 |
| N/A   29C    P0             52W /  400W |       0MiB /  40960MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   4  NVIDIA A100-SXM4-40GB          On  |   00000000:90:1C.0 Off |                    0 |
| N/A   30C    P0             51W /  400W |       0MiB /  40960MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   5  NVIDIA A100-SXM4-40GB          On  |   00000000:90:1D.0 Off |                    0 |
| N/A   29C    P0             54W /  400W |       0MiB /  40960MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   6  NVIDIA A100-SXM4-40GB          On  |   00000000:A0:1C.0 Off |                    0 |
| N/A   31C    P0             55W /  400W |       0MiB /  40960MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   7  NVIDIA A100-SXM4-40GB          On  |   00000000:A0:1D.0 Off |                    0 |
| N/A   30C    P0             54W /  400W |       0MiB /  40960MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+

Details

        [1,14]<stdout>:multi-node-alltoall-perf-worker-1:61:135 [6] NCCL INFO Channel 00/1 : 14[6] -> 13[5] via P2P/CUMEM/read
        [1,1]<stdout>:multi-node-alltoall-perf-worker-0:58:145 [1] NCCL INFO Channel 04/1 : 1[1] -> 0[0] via P2P/CUMEM/read
        [1,8]<stdout>:multi-node-alltoall-perf-worker-1:53:136 [0] NCCL INFO Channel 05/1 : 8[0] -> 7[7] [send] via NET/Libfabric/3(14)/GDRDMA/Shared
        [1,14]<stdout>:multi-node-alltoall-perf-worker-1:61:135 [6] NCCL INFO Channel 04/1 : 14[6] -> 13[5] via P2P/CUMEM/read
        [1,0]<stdout>:           0             0     float    none      -1    79.57    0.00    0.00       0    79.30    0.00    0.00    N/A
        [1,0]<stdout>:           0             0     float    none      -1    84.07    0.00    0.00       0    79.16    0.00    0.00    N/A
        [1,0]<stdout>:           0             0     float    none      -1    78.98    0.00    0.00       0    78.05    0.00    0.00    N/A
        [1,0]<stdout>:           0             0     float    none      -1    79.80    0.00    0.00       0    86.96    0.00    0.00    N/A
        [1,0]<stdout>:           0             0     float    none      -1    77.97    0.00    0.00       0    87.22    0.00    0.00    N/A
        [1,0]<stdout>:         256             4     float    none      -1   114.80    0.00    0.00       0   116.04    0.00    0.00    N/A
        [1,0]<stdout>:         512             8     float    none      -1   111.86    0.00    0.00       0   114.15    0.00    0.00    N/A
        [1,0]<stdout>:        1024            16     float    none      -1   103.10    0.01    0.01       0   101.52    0.01    0.01    N/A
        [1,0]<stdout>:        2048            32     float    none      -1   116.04    0.02    0.02       0   116.97    0.02    0.02    N/A
        [1,0]<stdout>:        4096            64     float    none      -1   100.12    0.04    0.04       0   100.68    0.04    0.04    N/A
        [1,0]<stdout>:        8192           128     float    none      -1   114.77    0.07    0.07       0   117.26    0.07    0.07    N/A
        [1,0]<stdout>:       16384           256     float    none      -1   117.39    0.14    0.13       0   118.10    0.14    0.13    N/A
        [1,0]<stdout>:       32768           512     float    none      -1   112.96    0.29    0.27       0   124.07    0.26    0.25    N/A
        [1,0]<stdout>:       65536          1024     float    none      -1   108.47    0.60    0.57       0   124.98    0.52    0.49    N/A
        [1,0]<stdout>:      131072          2048     float    none      -1   129.90    1.01    0.95       0   129.54    1.01    0.95    N/A
        [1,0]<stdout>:      262144          4096     float    none      -1   153.52    1.71    1.60       0   153.92    1.70    1.60    N/A
        [1,0]<stdout>:      524288          8192     float    none      -1   203.60    2.58    2.41       0   204.88    2.56    2.40    N/A
        [1,0]<stdout>:     1048576         16384     float    none      -1   298.55    3.51    3.29       0   303.69    3.45    3.24    N/A
        [1,0]<stdout>:     2097152         32768     float    none      -1   427.47    4.91    4.60       0   435.25    4.82    4.52    N/A
        [1,0]<stdout>:     4194304         65536     float    none      -1   666.35    6.29    5.90       0   674.92    6.21    5.83    N/A
        [1,0]<stdout>:     8388608        131072     float    none      -1  1241.16    6.76    6.34       0  1240.35    6.76    6.34    N/A
        [1,0]<stdout>:    16777216        262144     float    none      -1  2051.16    8.18    7.67       0  2104.12    7.97    7.48    N/A
        [1,0]<stdout>:    33554432        524288     float    none      -1  3618.63    9.27    8.69       0  3629.26    9.25    8.67    N/A
        [1,0]<stdout>:    67108864       1048576     float    none      -1  6550.10   10.25    9.61       0  6533.22   10.27    9.63    N/A
        [1,0]<stdout>:   134217728       2097152     float    none      -1  12478.7   10.76   10.08       0  12455.9   10.78   10.10    N/A
        [1,0]<stdout>:   268435456       4194304     float    none      -1  24494.7   10.96   10.27       0  24554.4   10.93   10.25    N/A
        [1,0]<stdout>:   536870912       8388608     float    none      -1  48499.9   11.07   10.38       0  48564.9   11.05   10.36    N/A
        [1,0]<stdout>:  1073741824      16777216     float    none      -1  96696.8   11.10   10.41       0  96584.8   11.12   10.42    N/A
        [1,0]<stdout>:  2147483648      33554432     float    none      -1   192678   11.15   10.45       0   192415   11.16   10.46    N/A
        [1,7]<stdout>:multi-node-alltoall-perf-worker-0:69:159 [7] NCCL INFO comm 0x556081eb0a30 rank 7 nranks 16 cudaDev 7 busId a01d0 - Destroy COMPLETE
        [1,9]<stdout>:multi-node-alltoall-perf-worker-1:54:154 [1] NCCL INFO comm 0x55fb3f988090 rank 9 nranks 16 cudaDev 1 busId 101d0 - Destroy COMPLETE
        [1,1]<stdout>:multi-node-alltoall-perf-worker-0:58:155 [1] NCCL INFO comm 0x55923f682420 rank 1 nranks 16 cudaDev 1 busId 101d0 - Destroy COMPLETE
        [1,13]<stdout>:multi-node-alltoall-perf-worker-1:59:150 [5] NCCL INFO comm 0x555fdac7aec0 rank 13 nranks 16 cudaDev 5 busId 901d0 - Destroy COMPLETE
        [1,5]<stdout>:multi-node-alltoall-perf-worker-0:64:156 [5] NCCL INFO comm 0x55d135451d60 rank 5 nranks 16 cudaDev 5 busId 901d0 - Destroy COMPLETE
        [1,3]<stdout>:multi-node-alltoall-perf-worker-0:60:158 [3] NCCL INFO comm 0x564bcd1b4d10 rank 3 nranks 16 cudaDev 3 busId 201d0 - Destroy COMPLETE
        [1,0]<stdout>:multi-node-alltoall-perf-worker-0:57:161 [0] NCCL INFO comm 0x55b19f52ca50 rank 0 nranks 16 cudaDev 0 busId 101c0 - Destroy COMPLETE
        [1,0]<stdout>:# Out of bounds values : 0 OK
        [1,0]<stdout>:# Avg bus bandwidth    : 3.56898
        [1,0]<stdout>:#
        [1,0]<stdout>:# Collective test concluded: alltoall_perf
        [1,2]<stdout>:multi-node-alltoall-perf-worker-0:59:154 [2] NCCL INFO comm 0x562c7b5cf1c0 rank 2 nranks 16 cudaDev 2 busId 201c0 - Destroy COMPLETE
        [1,10]<stdout>:multi-node-alltoall-perf-worker-1:55:156 [2] NCCL INFO comm 0x55ab989a90f0 rank 10 nranks 16 cudaDev 2 busId 201c0 - Destroy COMPLETE
        [1,8]<stdout>:multi-node-alltoall-perf-worker-1:53:152 [0] NCCL INFO comm 0x55d4e9b0fce0 rank 8 nranks 16 cudaDev 0 busId 101c0 - Destroy COMPLETE
        [1,4]<stdout>:multi-node-alltoall-perf-worker-0:61:160 [4] NCCL INFO comm 0x5578a111bdf0 rank 4 nranks 16 cudaDev 4 busId 901c0 - Destroy COMPLETE
        [1,6]<stdout>:multi-node-alltoall-perf-worker-0:68:157 [6] NCCL INFO comm 0x558b487be400 rank 6 nranks 16 cudaDev 6 busId a01c0 - Destroy COMPLETE
        [1,12]<stdout>:multi-node-alltoall-perf-worker-1:57:151 [4] NCCL INFO comm 0x56049e7847f0 rank 12 nranks 16 cudaDev 4 busId 901c0 - Destroy COMPLETE
        [1,14]<stdout>:multi-node-alltoall-perf-worker-1:61:155 [6] NCCL INFO comm 0x55804becf8c0 rank 14 nranks 16 cudaDev 6 busId a01c0 - Destroy COMPLETE
        [1,11]<stdout>:multi-node-alltoall-perf-worker-1:56:153 [3] NCCL INFO comm 0x561871521c20 rank 11 nranks 16 cudaDev 3 busId 201d0 - Destroy COMPLETE
        [1,15]<stdout>:multi-node-alltoall-perf-worker-1:65:149 [7] NCCL INFO comm 0x555c3c4cd890 rank 15 nranks 16 cudaDev 7 busId a01d0 - Destroy COMPLETE
        [1,0]<stdout>:

    mpi_test.go:124: Multi node job completed
--- PASS: TestMPIJobPytorchTraining (308.82s)
    --- SKIP: TestMPIJobPytorchTraining/single-node (0.00s)
    --- PASS: TestMPIJobPytorchTraining/multi-node:all_reduce_perf (226.32s)
        --- PASS: TestMPIJobPytorchTraining/multi-node:all_reduce_perf/MPIJob_succeeds (225.63s)
    --- PASS: TestMPIJobPytorchTraining/multi-node:all_gather_perf (41.25s)
        --- PASS: TestMPIJobPytorchTraining/multi-node:all_gather_perf/MPIJob_succeeds (40.63s)
    --- PASS: TestMPIJobPytorchTraining/multi-node:alltoall_perf (41.25s)
        --- PASS: TestMPIJobPytorchTraining/multi-node:alltoall_perf/MPIJob_succeeds (40.63s)
=== RUN   TestSingleNodeUnitTest
=== RUN   TestSingleNodeUnitTest/unit-test
    unit_test.go:139: Skipping feature "unit-test": name not matched
=== RUN   TestSingleNodeUnitTest/hpc-benckmarks
    unit_test.go:139: Skipping feature "hpc-benckmarks": name not matched
--- PASS: TestSingleNodeUnitTest (0.00s)
    --- SKIP: TestSingleNodeUnitTest/unit-test (0.00s)
    --- SKIP: TestSingleNodeUnitTest/hpc-benckmarks (0.00s)
PASS
ok      github.com/aws/aws-k8s-tester/test/cases/nvidia 329.782s

MIG Test on p4d.24xlarge
GRID Test on g6f

Terms of contribution:

By submitting this pull request, I agree that this contribution is dual-licensed under the terms of both the Apache License, version 2.0, and the MIT license.

Signed-off-by: Vighnesh Maheshwari <vighmah@amazon.com>

vigh-m force-pushed the nvidia-595-driver branch 3 times, most recently from deac82a to 1a55e1b Compare May 5, 2026 23:43

vigh-m mentioned this pull request May 6, 2026

variants: add k8s-1.36 variants bottlerocket-os/bottlerocket#4827

Merged

vigh-m force-pushed the nvidia-595-driver branch 2 times, most recently from 8d3b6e0 to eea20da Compare May 8, 2026 01:04

vigh-m marked this pull request as ready for review May 8, 2026 01:05

vigh-m added 2 commits May 7, 2026 18:09

kmod-6.12-nvidia-595: add new driver

c3d474f

Signed-off-by: Vighnesh Maheshwari <vighmah@amazon.com>

kmod-6.18-nvidia-595: add new driver

b6e250a

Signed-off-by: Vighnesh Maheshwari <vighmah@amazon.com>

vigh-m force-pushed the nvidia-595-driver branch from eea20da to b6e250a Compare May 8, 2026 01:09

vigh-m marked this pull request as draft May 9, 2026 00:33

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Add nvidia 595 driver#424

Add nvidia 595 driver#424
vigh-m wants to merge 2 commits into
bottlerocket-os:developfrom
vigh-m:nvidia-595-driver

vigh-m commented May 5, 2026 •

edited

Loading

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

1 participant

Conversation

vigh-m commented May 5, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

1 participant

vigh-m commented May 5, 2026 •

edited

Loading