摩尔线程基于新一代 MUSA Compute Capability 3.1 计算架构的全功能 GPU 原生支持 FP8 计算，这为 Torch-MUSA v2.0.0 实现 FP8 矩阵乘法和分布式通信优化提供了 ...

来源：DeepTech深科技仅需几十行 PyTorch 代码即可大幅提高 GPU 利用率，在英伟达 A100 上的 GPU 利用率高达 70%。这一能力由一款名为 LaCT 的新模型架构 ...

几十行PyTorch代码让GPU利用率猛涨，MIT团队打造新模型架构，渲染质量优于3D高斯泼溅 ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business ...

In collaboration with the Metal engineering team at Apple, PyTorch today announced that its open source machine learning framework will soon support GPU-accelerated model training on Apple silicon ...