Mention the note about NVIDIA Grace

README.md

@@ -279,7 +279,8 @@ Here is a partial list of open source projects that have adopted `sse2neon` for
 * [Genomics: Optimizing the BWA aligner for Arm Servers](https://community.arm.com/arm-community-blogs/b/high-performance-computing-blog/posts/optimizing-genomics-and-the-bwa-aligner-for-arm-servers)
 * [Bit twiddling with Arm Neon: beating SSE movemasks, counting bits and more](https://community.arm.com/arm-community-blogs/b/infrastructure-solutions-blog/posts/porting-x86-vector-bitmask-optimizations-to-arm-neon)
 * [C/C++ on Graviton](https://github.com/aws/aws-graviton-getting-started/blob/main/c-c%2B%2B.md)
-* [Tune graphics-intensive games for Apple silicon](https://developer.apple.com/games/planning/)
+* [C/C++ on NVIDIA Grace](https://nvidia.github.io/grace-cpu-benchmarking-guide/developer/languages/c-c++.html)
+* [Tune graphics-intensive games for Apple silicon](https://developer.apple.com/games/pathway/)
 * [Benchmarking and Testing of Qualcomm Snapdragon System-on-Chip for JPL Space Applications and Missions](https://ieeexplore.ieee.org/abstract/document/9843518)
 
 ## Licensing