Red Hat and Hugging Face hosted a technical event in Bengaluru that drew more than 170 students, engineers, researchers, and open-source contributors for sessions on PyTorch infrastructure, large-scale inference, reinforcement learning environments, and distributed training1. Three Hugging Face speakers and two from Red Hat's PyTorch engineering team covered topics including SGLang inference serving, PyTorch profiling, RL environment design with OpenEnv and Repo2RLEnv, distributed training primitives such as DeviceMesh and DTensor, and zero-copy GPU-to-GPU communication. Sudhir Dharanendraiah framed the event around shifting India's role from AI consumer to core infrastructure contributor.
PyTorch, Hugging Face Host Bengaluru Systems Event
Red Hat and Hugging Face drew over 170 attendees in Bengaluru for technical sessions on PyTorch inference, distributed training, RL environments, and GPU…
