PaddlePaddle 3.1.0 introduces a refined auto-parallel architecture, FP8 low-precision training for 10-20% speedups, and a mechanism to reuse CUDA kernels for heterogeneous hardware.
Baidu’s PaddlePaddle framework updates to v3.1.1, focusing on robust large model training, FP8 optimization, and new API features.
PaddlePaddle 3.2.0 emphasizes performance for large language models through FlashMask V3, FP8 training, and enhanced fault tolerance. It also expands hardware support via a Custom Device API and improves compatibility with industry standards like Safetensors and PyTorch-style APIs.
