First Look at the Future of AI. The #PyTorchConf Schedule Is Here!
The wait is over! 💥 The PyTorch Conference schedule is live! Join us October 22–23 in San Francisco for 2️⃣ days of cutting-edge sessions, hands-on technical content, and insights from the leaders shaping the future of AI.
From soon-to-be-announced keynotes to breakout tracks, poster sessions, and the Flare Party, this year’s event delivers hands‑on workshops, real‑world scaling techniques, safety‑focused sessions, benchmark practices, and a startup showcase that empower researchers, developers, and engineers with both knowledge and community connections.
Check out the highlights:
- ExecuTorch 1.0: General Availability Status for Mobile and Embedded Application 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, Hugging Face
- Efficient MoE Pre-training at Scale on AMD GPUs With TorchTitan – Liz Li & Yanyuan Qin, AMD; Less Wright, Meta
- Maximizing Luck in Reinforcement Learning – Daniel Han, Unsloth
- Leveraging PyTorch for Generative AI in Distributed Edge Clouds – Tina Tsou, TikTok
👀 Keep an eye out for keynote speaker names announced soon! 👀