The New Stack Podcast Why PyTorch Won
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Oct 24, 2025 
Luca Antiga, CTO of Lightning AI and chair of the PyTorch Foundation Technical Advisory Council, shares insights from his journey in AI. He discusses PyTorch's evolution and its role in major AI advancements, emphasizing its flexibility in reinforcement learning and generative models. Antiga highlights the integration of projects like vLLM and DeepSpeed within the PyTorch ecosystem, all while maintaining a focus on user experience. He also touches on exciting trends like efficient learning models and the potential for future projects within the foundation.
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From Biomedical Engineer To PyTorch Advocate
- Luca Antiga described his path from biomedical engineering to contributing to Torch7 and PyTorch.
- He wrote a PyTorch book and later co-founded Lightning AI, which naturally joined the PyTorch Foundation.
Pythonic Design Fueled PyTorch's Rise
- PyTorch is a Python library that automates optimization and runs fast on GPUs for neural network training.
- Its Pythonic, researcher-friendly design made debugging and iteration much faster than earlier frameworks.
Researchers' Adoption Scaled PyTorch Industry-Wide
- PyTorch remained central across multiple AI revolutions from small models to generative LLMs.
- Researchers adopted PyTorch early, then moved into industry, turning it into an industry-scale platform.