Nebius AI Cloud Office Hours: Building Physical AI Applications
How do you train and deploy models for robots and other systems that interact with the physical world?
Join Nebius AI Cloud engineers for a live office hours session focused on Physical AI use cases. We’ll explore how to train models such as NVIDIA GR00T and Cosmos on Nebius, scale distributed training jobs, and deploy models for inference.
We’ll also discuss infrastructure for perception, reasoning, and action pipelines—combining multiple models to help physical systems understand their surroundings and respond. Bring your questions about your own workloads, architecture, and infrastructure choices.
What to expect
- Physical AI examples: Explore training workflows with models such as NVIDIA GR00T and Cosmos.
- Training and inference: Discuss distributed training, serverless endpoints, and infrastructure choices for your workloads.
- Multi-model pipelines: Learn how to support perception, reasoning, and action workflows in the cloud.
- Live Q&A: Get practical guidance from Nebius AI Cloud engineers for your project.
Register to get the invitation and the recording
Try Nebius AI Cloud console today
Get immediate access to NVIDIA GPUs, along with CPU resources, storage and additional services through our user-friendly self-service console.
