PyTorch Foundation Spotlight: Zhipeng Wang

In this PyTorch Foundation Spotlight, Zhipeng Wang, TSC Committer (DeepSpeed), explains how DeepSpeed has supported research and experimentation in large-scale ML training and why joining the PyTorch Foundation ecosystem matters for its next phase. Zhipeng discusses PyTorch’s role as the most widely used ML framework across the AI community and how its large developer base creates strong demand for high-performance training libraries. He shares why DeepSpeed joining the PyTorch Foundation creates new opportunities to foster research, develop new features, and support a broader range of AI workloads for both researchers and developers.