Uploaded April 2026 | Updated September 2026, 2 weeks ago
We just wrapped Nemotron Dev Days Korea — a two-day intensive bringing together 200 elite developers to push the boundaries of sovereign AI. In this session we break down what happened, what we learned, and what it means for builders everywhere.
We'll open with a recap of the Korea hackathon: the three tracks (Creative Use-case, Domain & Persona Tuning, and Synthetic Data Generation), standout submissions, and a closer look at the winning teams and what they built. You'll hear directly about how participants used Nemotron models, NeMo-RL, NeMo Curator, and the broader NVIDIA stack to build production-ready pipelines in under 36 hours.
Then we zoom out to the bigger picture — sovereign AI model builders across Korea and the region are increasingly turning to Nemotron as the foundation for domain-adapted, culturally-aware models. We'll walk through how teams are leveraging the Nemotron SDK, curated datasets, and NVIDIA's post-training recipes (CPT, SFT, RL) to build models that go well beyond out-of-the-box performance.
We close with a live Build-a-Claw segment — a step-by-step walkthrough of setting up NemoClaw to deploy your own autonomous agent, using the same blueprint that hackathon teams had access to.
What you'll learn:
- Highlights from Nemotron Dev Days Korea — tracks, results, and winning builds
- How sovereign AI builders are using the Nemotron SDK, datasets, and post-training recipes in real-world deployments
- What "Domain & Persona Tuning" looks like in practice for Korean-language and domain-specific models
- How to get started with Build-a-Claw: installing NemoClaw and deploying your first autonomous agent
We just wrapped Nemotron Dev Days Korea — a two-day intensive bringing together 200 elite developers to push the boundaries of sovereign AI. In this session we break down what happened, what we learned, and what it means for builders everywhere.
We'll open with a recap of the Korea hackathon: the three tracks (Creative Use-case, Domain & Persona Tuning, and Synthetic Data Generation), standout submissions, and a closer look at the winning teams and what they built. You'll hear directly about how participants used Nemotron models, NeMo-RL, NeMo Curator, and the broader NVIDIA stack to build production-ready pipelines in under 36 hours.
Then we zoom out to the bigger picture — sovereign AI model builders across Korea and the region are increasingly turning to Nemotron as the foundation for domain-adapted, culturally-aware models. We'll walk through how teams are leveraging the Nemotron SDK, curated datasets, and NVIDIA's post-training recipes (CPT, SFT, RL) to build models that go well beyond out-of-the-box performance.
We close with a live Build-a-Claw segment — a step-by-step walkthrough of setting up NemoClaw to deploy your own autonomous agent, using the same blueprint that hackathon teams had access to.
What you'll learn:
- Highlights from Nemotron Dev Days Korea — tracks, results, and winning builds
- How sovereign AI builders are using the Nemotron SDK, datasets, and post-training recipes in real-world deployments
- What "Domain & Persona Tuning" looks like in practice for Korean-language and domain-specific models
- How to get started with Build-a-Claw: installing NemoClaw and deploying your first autonomous agent
