Uploaded August 2026 | Updated September 2026, 2 weeks ago
In this Cosmos Labs livestream, NVIDIA experts, Aigen, and Linker Vision will demonstrate how domain-specific data can specialize Cosmos for robot policies, vision-language models, and faster world generation—and how to move those models from training through evaluation and deployment.
Explore the full post-training journey through real-world examples from Aigen and Linker Vision. Aigen will show how it adapts Cosmos for autonomous agricultural robotics, while Linker Vision will demonstrate how specialized VLMs improve video reasoning in complex physical environments. NVIDIA experts will connect these examples to practical workflows, including Cosmos3-DROID policy post-training and Cosmos 3 Super step distillation for faster synthetic data and world generation.
What you’ll learn:
- How to prepare domain-specific data and post-train Cosmos 3
- How to improve robot policy learning with Cosmos3-DROID
- How Linker Vision specializes VLMs for real-world video reasoning
- How step distillation accelerates synthetic data and world generation
- How Aigen applies an end-to-end Cosmos workflow to agricultural robotics
- Best practices for evaluating and deploying specialized Cosmos models
Have questions about post-training, optimization, evaluation, or deployment? Join live and ask the NVIDIA, Aigen and Linker Vision teams.
📖 Read the technical walkthrough for Cosmos 3 Edge post-training → nvda.ws/4qlkCDE
📥 Download Cosmos 3 → huggingface.co/collections/nvidia/cosmos3
🐙 Customize Models with Cosmos 3 → github.com/nvidia/Cosmos
In this Cosmos Labs livestream, NVIDIA experts, Aigen, and Linker Vision will demonstrate how domain-specific data can specialize Cosmos for robot policies, vision-language models, and faster world generation—and how to move those models from training through evaluation and deployment.
Explore the full post-training journey through real-world examples from Aigen and Linker Vision. Aigen will show how it adapts Cosmos for autonomous agricultural robotics, while Linker Vision will demonstrate how specialized VLMs improve video reasoning in complex physical environments. NVIDIA experts will connect these examples to practical workflows, including Cosmos3-DROID policy post-training and Cosmos 3 Super step distillation for faster synthetic data and world generation.
What you’ll learn:
- How to prepare domain-specific data and post-train Cosmos 3
- How to improve robot policy learning with Cosmos3-DROID
- How Linker Vision specializes VLMs for real-world video reasoning
- How step distillation accelerates synthetic data and world generation
- How Aigen applies an end-to-end Cosmos workflow to agricultural robotics
- Best practices for evaluating and deploying specialized Cosmos models
Have questions about post-training, optimization, evaluation, or deployment? Join live and ask the NVIDIA, Aigen and Linker Vision teams.
📖 Read the technical walkthrough for Cosmos 3 Edge post-training → nvda.ws/4qlkCDE
📥 Download Cosmos 3 → huggingface.co/collections/nvidia/cosmos3
🐙 Customize Models with Cosmos 3 → github.com/nvidia/Cosmos
