Main Calendar

Nemotron Hackathon (Two Days)

Day 1
10–11:30 a.m.Welcome and Introductions
1–5 p.m. Nemotron Developer Day Seoul 
5–7 p.m.Builders’ Night: Welcome Reception
7–9 p.m.Midnight Sprint 
8–9 p.m.Connect With Experts
9 p.m.– Overnight Sprint (Optional)

Day 2
9 a.m.–10 p.m.  Morning Meditation: Reset Your System (Optional)
10 a.m.–12 p.m.Morning Sprint
11 a.m.–12 p.m.Connect With Experts
12–3 p.m.Final Sprint and Pitch Prep
1–2 p.m.Connect With Experts
3–5:30 p.m.Final Showcase
5:30–7:30 p.m.Builders’ Night: Closing Reception
7:30–8:30 p.m. Closing Ceremony

Open source thrives on collaboration. In this session, we’ll walk through how to contribute to an open-source project by working directly on NVIDIA NemoClaw — an open‑source reference stack for running OpenClaw autonomous agents  inside NVIDIA OpenShell’s sandboxed environment. You’ll see the full process: forking the repo, building locally, implementing a feature, writing tests, and opening a pull request. We’ll also show how to submit feature requests and ideas through GitHub to help shape the NVIDIA NemoClaw roadmap and community priorities.

What you’ll learn:

• How to set up your environment and explore the NVIDIA NemoClaw codebase.
• How to contribute a change: branching, testing, and submitting a pull request.
• How to open a feature request or discussion directly on GitHub.
• How community feedback and contributions influence the NVIDIA NemoClaw roadmap.

Join us live as we add a new feature to NVIDIA NemoClaw, answer your questions, and show how developers can actively shape open‑source AI projects from code to community.

Join NVIDIA for Robotics Office Hours, the weekly livestream for developers building AI-powered robots. In this session, NVIDIA experts share an end-to-end robot learning workflow using Isaac Sim, Isaac Lab, NVIDIA Cosmos, and NVIDIA Omniverse to train manipulation policies and achieve sim-to-real transfer.

Learn why end-to-end learning is gaining momentum, how it compares to traditional robotics pipelines, and how affordable hardware like the SO-101 robot and lightbox workspace can accelerate hands-on development. You’ll also get practical tips for collecting teleoperation data, improving training results, and solving real-world robotics challenges.

We broadcast to YouTube (all previous episodes are also available here): https://www.youtube.com/@NVIDIAOmniverse/streams

Add upcoming events/livestreams to your own calendar: https://addevent.com/calendar/ae483892

Join the community in the Omniverse Discord server: https://discord.gg/nvidiaomniverse

NVIDIA Omniverse community page: https://nvidia.com/omnivores

Join our interactive Isaac Sim and Isaac Lab study group, led by NVIDIA Omniverse Ambassador Scott Dempsey. Explore robotics simulation, digital twins, and AI-driven control using NVIDIA’s advanced platforms and OpenUSD workflows. This hands-on series offers insights for all skill levels, fostering collaboration and practical learning for real-world robotics applications.

Join the developers on the CUDA Communication Library team to learn more about how you can support CUDA applications on clusters of GPUs.  Communication libraries like NVSHMEM enable multiple GPUs to work in parallel on large-scale AI training, simulation, or rendering tasks by exchanging data and synchronizing tasks.

In this session, we will cover:

• How NVSHMEM extends the OpenSHMEM APIs to support clusters of NVIDIA GPUs.
• API calls to collectively launch CUDA kernels across a set of GPUs.
• Live demo of NVSHMEM in action.
• Live Q&A with our panel of library developers and experts.

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

Schließe dich unserer gemeinsamen Study Group an, in der wir den OpenUSD Learning Path Schritt für Schritt durchgehen. So kannst du deine Fähigkeiten stärken, Erfahrungen mit anderen teilen und dich optimal auf die USD-Zertifizierung vorbereiten – alles in einer unterstützenden Lernumgebung.
Weitere Informationen: https://perfectproducts.github.io/openusd_studierstube/

The OpenUSD Study Group is a dedicated space for addressing challenges and issues encountered during OpenUSD learning. As a group, we share our experiences of how we solved some of the problems and challenges we faced while learning and building OpenUSD-based solutions.Additional Resources: https://ziacreatesideas.github.io/STUDY_USD-GROUP/index.html

日本で開催する「Nemotron Labs ライブ配信シリーズ」の第1回目となる本セッションでは、AI 研究者 今井翔太氏 (https://x.com/ImAI_Eruel) と東京エレクトロン 西口賢弥氏とともに、信頼性が高く本番環境で利用可能なAIの実現においてオープンモデルが果たす役割について議論します。NVIDIA が Nemotron のオープンモデル、データセット、ライブラリに投資している理由や、透明性が高くカスタマイズ可能な AI システムが実社会での導入においてなぜ重要なのかについて掘り下げます。
また本セッションでは、OpenClaw アシスタントを安全に実行するためのオープンソースのリファレンススタックである NVIDIA NemoClaw も紹介します。OpenShell をベースに構築された NemoClaw は、プライバシー、ネットワーク、推論のためのサンドボックス機能やポリシー制御を追加しており、安全で透明性の高い「常時稼働型エージェント」を実現します。
当ライブを通して、Nemotron と NemoClaw を組み合わせて、安全かつ長時間稼働するエージェント型システムを構築する方法を学べるとともに、オープンモデルと実運用に必要なガードレールを組み合わせることで、現実世界での導入に対応したAIシステムの構築を理解いただけます。
また本セッションは、第2回の内容への導入にもなります。第2回では、日本向けのモデルやデータセットに焦点を当て、Nemotron を活用したソブリン AI システムの構築方法についてさらに詳しく解説する予定です。

是非、ご参加ください。
youtube.com/watch?v=cKiVP-8Nkg4
x.com/NVIDIAJapan

Nemotron が日本におけるソブリン AI の基盤としてどのように活用できるかについて、実践的に議論するセッションにぜひご参加ください。本セッションでは、データの所有権、モデルのカスタマイズ、独自の環境や要件でのデプロイにおいて優れた柔軟性を持つオープン モデルが、ソブリン AI の実現においてなぜ重要なのかを探ります。
続いて、日本語データセット「Nemotron-Personas-Japan」、日本語特化の AI モデル「Nemotron-Nano-v2-9B-Japanese」、NVIDIA NeMo ライブラリを活用した具体例を通じて、日本の開発者が独自のユース ケースに合わせて AI アセットを構築、適応、評価する方法をご紹介します。
さらに、モデル、データセット、ライブラリ、各種テクニックを含む Nemotron ファミリーの全容についてもご紹介し、これらが日本におけるソブリン AI の開発をどのように支援するかをお伝えします。

Hear from NVIDIA CEO Jensen Huang live on stage at Taipei Music Center (TMC). Arrive early to catch the GTC Live pregame show for an insightful discussion with industry leaders.

Watch the livestream here.

Taipei Music Center (TMC) のステージで、NVIDIA CEOジェンスン フアン (Jensen Huang) のライブ講演をお聴きください。事前に行われる GTC Live のプレゲーム ショーでは、業界のリーダーたちとのインサイトに満ちたディスカッションが繰り広げられます。是非会場に早目にお越しください。ライブ配信はこちらでご視聴いただけます。

타이베이 뮤직 센터(TMC)에서 펼쳐지는 NVIDIA 젠슨 황 CEO의 키노트를 들어보세요. 또한 사전 행사로 진행되는GTC Live Pregame 쇼에서 업계 주요 리더들의 인사이트를 확인해보세요. 라이브스트리밍은 여기서 시청할 수 있습니다. 

親臨台北流行音樂中心，現場聆聽 NVIDIA 執行長黃仁勳的精彩演說。建議您提早抵達，參加 GTC Live 會前直播節目，掌握業界領袖的深度對談與精闢見解。
 
請點擊此處觀看直播。