AI Briefing#amd-gpu
The latest AI and developer news about #amd-gpu, with the original source and a short summary.
The latest AI and developer news about #amd-gpu, with the original source and a short summary.
audio.cpp 0.5 adds expressive TTS, multilingual voice transfer, and AMD GPU support.
PyTorch Monarch has been extended to AMD Instinct GPUs and the ROCm environment, strengthening fault tolerance for large-scale distributed training.
PyTorch Monarch now supports AMD GPU's ROCm environment, enabling uninterrupted, resilient distributed training even in the event of node failures.
This introduces research that improves HIP kernel generation performance for AMD GPUs using synthetic data and reinforcement learning.
Zluda 6, which helps run CUDA applications even without Nvidia GPUs, has been released.
hipEngine, an open-source engine that maximizes inference performance for Qwen 3.6 models on AMD RDNA3 GPU environments, has been released.
Hipfire, a new inference engine optimized across AMD GPUs, along with the mq4 quantization method, has been released.
GHOST v2.1 adds native Windows support, simplifying running AI models on AMD GPUs.
Combining an RX 9070 and RTX 5070 Ti, the author ran Qwen 35B Q4 at over 100tps.
Hugging Face has released a tool that makes it easy to build and share ROCm kernels for AMD GPUs.