PyTorch Conference 2025: The Premier Forum for AI Innovation
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Gineesh Madapparambath
- Ai, Events, Conferences, Machine learning, Community
- October 16, 2025
PyTorch Conference 2025 — October 22–23, San Francisco
Here’s the thing: if you care about practical, production‑grade AI, PyTorch Conference is where the signal is. Over two days you’ll learn from people building the models, tools, and platforms we use every day — and you’ll meet the community pushing the ecosystem forward.
What you’ll get with your pass
- Access to all keynotes, technical sessions, panels, and poster talks
- Social events and structured networking
- Startup Showcase and expo hall
- Lunch plus morning and afternoon coffee/snacks
- Event swag you’ll actually keep
Program at a glance
- 6 technical tracks across performance, inference, tooling, research, and deployment
- 3 co‑located summits for deeper dives
- Training and certification options on site
- Poster sessions and a Startup Showcase featuring new ideas and products
Session highlights
- ExecuTorch 1.0: GA for mobile and embedded developers — Mergen Nachin, Meta
- vLLM: Easy, fast, and cheap LLM serving for everyone — Simon Mo, vLLM
- Transformers: Standardizing model definitions across the PyTorch ecosystem — Lysandre Debut & Arthur Zucker, Hugging Face
- Efficient MoE pre‑training at scale on AMD GPUs with TorchTitan — Liz Li & Yanyuan Qin, AMD; Matthias Reso, Meta
- Maximizing luck in reinforcement learning — Daniel Han, Unsloth
- Leveraging PyTorch for generative AI in distributed edge clouds — Tina Tsou, TikTok
50% off for techbeatly readers
Use code TECHBEATLY for 50% off current pricing. Discount is applied at the end of checkout and isn’t valid on academic pricing.
Why it’s worth your time
You’ll leave with battle‑tested ideas you can apply right away — from inference speed‑ups and model packaging to scaling training and making GPUs actually behave. And you’ll meet the folks who maintain the libraries you depend on.
Gineesh Madapparambath
Gineesh Madapparambath is the founder of techbeatly. He is the co-author of The Kubernetes Bible, Second Edition and the author of Ansible for Real Life Automation. He has worked as a Systems Engineer, Automation Specialist, and content author. His primary focus is on Ansible Automation, Containerisation (OpenShift & Kubernetes), and Infrastructure as Code (Terraform). (Read more: iamgini.com)
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