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At the PyTorch Conference 2025 in San Francisco, Luca Antiga — CTO of Lightning AI and head of the PyTorch Foundation’s Technical Advisory Council — discussed the evolution and influence of PyTorch. Originally designed to be “Pythonic” and researcher-friendly
Antiga emphasized that PyTorch has remained central across major AI shifts — from early neural networks to today’s generative AI boom — powering not just model training but also inference systems such as vLLM and SGLang used in production chatbots. Its flexibility also makes it ideal for reinforcement learning, now commonly used to fine-tune large language models (LLMs).
On the PyTorch Foundation, Antiga noted that while it recently expanded to include projects likev LLM ,DeepSpeed, and Ray, the goal isn’t to become a vast umbrella organization. Instead, the focus is on user experience and success within the PyTorch ecosystem.
Learn more from The New Stack about the latest in PyTorch:
Lightning AI Brings a PyTorch Copilot to Its Development Environment
Ray Comes to the PyTorch Foundation
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