# oneDNN 3.14 released with ACE support and AMD Zen optimizations

> **Key takeaway:** oneDNN 3.14 introduces initial AMD Zen CPU optimizations and support for AI Compute Extensions (ACE).

**Published:** 2026-10-23T14:12:33+00:00 
**Source:** Phoronix Benchmarks & Drivers 
**Category:** kernel-os 
**Canonical URL:** https://fosswire.org/news/onednn-314-released-with-ace-support-and-amd-zen-optimizatio.html 

## Summary
The UXL Foundation has released oneDNN 3.14, providing optimized deep learning operations for frameworks like PyTorch and TensorFlow. This version is notable for integrating AMD Zen optimizations directly into the upstream project, moving away from AMD's separate ZenDNN fork. It also adds support for AI Compute Extensions (ACE) and improves performance for upcoming Intel Xeon Diamond Rapids and Intel GPU D-Series hardware.

## Technical improvements in oneDNN 3.14
- **AMD Zen optimizations**: Improved MATMUL and inner-product primitive performance on Zen processors. Requires `ONEDNN_X64_USE_ZEN=ON` CMake flag and ZenDNN code.
- **AI Compute Extensions (ACE)**: Initial support for instructions intended for future AMD and Intel processors.
- **Intel Xeon Diamond Rapids**: Performance improvements using AVX10.2 and AMX.
- **Intel GPU support**: Enhanced performance for upcoming D-Series (Crescent Island) and Xe3P-LPG with Nova Lake P processors.

## Why it matters
The collaboration between Intel and AMD on oneDNN upstream signals a shift toward unified software optimization for deep learning frameworks across different CPU architectures.