
10/2/2018 · Joseph Spisak
What this post added
This post announces the release of PyTorch 1.0, which unifies PyTorch's research flexibility with Caffe2's production capabilities. Key technical advancements include a new hybrid front end for tracing and scripting models, a revamped torch.distributed library for faster distributed training, and an eager mode C++ interface for performance-critical research. The post also details expanded ecosystem support from cloud providers (AWS, Google, Microsoft) and hardware partners (ARM, Intel, IBM, NVIDIA, Qualcomm) to accelerate AI development and deployment.