
About this episode
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
Join our community of newsletter subscribers to stay on top of the news and at the top of your game.
Get every episode summarized
Each time The New Stack Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The New Stack Podcast

How Microsoft is governing thousands of Kubernetes clusters without manual inter...
The New Stack Podcast

Why long-running AI agents break on HTTP and how Ably is fixing it
The New Stack Podcast

Why the Linux Foundation adopted MCP, with Jim Zemlin and Mazin Gilbert
The New Stack Podcast

Fresh data has us asking, does AI demand Kubernetes?
The New Stack Podcast