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Upcoming events
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22 Sep
Join us at NVIDIA AI Day Singapore, a two-day, in-person event for developers, builders, and business leaders shaping the future of AI across Singapore and ASEAN.
More details to follow.
More details to follow.
Raffles City Convention Centre, 80 Bras Basah Road, Singapore 189560
22 Sep
22 Sep
Ask the Experts: Evaluating Agent Skills | Nemotron Labs
Tuesday 22 September ⋅ 17:00 – 18:00 (UTC)
Agent skills package instructions, instructions, examples, and tool guidance for autonomous agents, but before a skill enters a real workflow, teams need to understand its security risks, overlap with existing skills, and measure usefulness. In this Ask the Experts session, the NVIDIA product and engineering team behind SkillEvaluator and SkillSpector will unpack the three-tier evaluation framework, share benchmark results from 300+ verified skills across 30+ NVIDIA products, and cover how SkillSpector scans for agent-native risks including prompt injection, data exfiltration, trigger abuse, and tool poisoning. SkillSpector is a standalone security scanner for agent skills, combining static analysis with optional LLM semantic analysis. Teams can use it independently or integrate it into broader workflows, including SkillEvaluator’s Tier 1 validation. Expect a look at SkillEvaluator in action.
What you'll learn:
What you'll learn:
- How Skill Lift is calculated and what 300+ verified NVIDIA skill benchmarks reveal about skill effectiveness
- How SkillSpector scans for agent-native security risks before a skill enters any workflow
- How to use token and execution time data to identify skills that need optimization
https://www.youtube.com/watch?v=4rI0zATFxYI&themeRefresh=1
22 Sep
22 Sep
Vertically Integrated, Horizontally Open | AI Factory Insider Ep 5
Tuesday 22 September ⋅ 21:00 – 22:00 (UTC)
How can one AI platform support specialized AI across industries?
In Episode 5 of AI Factory Insider, NVIDIA's livestream series for IT leaders and practitioners, host Kaushik Shirhatti (VP, AI Factory, NVIDIA) is joined by Pradeep Gupta (VP, Industries Solutions Architecture, NVIDIA) to unpack what “vertically integrated, horizontally open” means in practice.
We’ll start with the fundamentals of CUDA libraries: what they are, how developers use them, and why they matter. Then we’ll explore how NVIDIA architectures, libraries, software, and open-source tools provide a common foundation for distinct AI workloads across financial services, healthcare, manufacturing, and beyond.
To close, we’ll look ahead at how CUDA-powered capabilities are evolving for AI agents and what that means for enterprise workflows.
What you'll learn:
In Episode 5 of AI Factory Insider, NVIDIA's livestream series for IT leaders and practitioners, host Kaushik Shirhatti (VP, AI Factory, NVIDIA) is joined by Pradeep Gupta (VP, Industries Solutions Architecture, NVIDIA) to unpack what “vertically integrated, horizontally open” means in practice.
We’ll start with the fundamentals of CUDA libraries: what they are, how developers use them, and why they matter. Then we’ll explore how NVIDIA architectures, libraries, software, and open-source tools provide a common foundation for distinct AI workloads across financial services, healthcare, manufacturing, and beyond.
To close, we’ll look ahead at how CUDA-powered capabilities are evolving for AI agents and what that means for enterprise workflows.
What you'll learn:
- What “vertically integrated, horizontally open” means — understand how an optimized full-stack platform can support a broad ecosystem of industries, applications, and tools.
- How the platform fits together — connect NVIDIA architectures, CUDA libraries, software, and open-source tools in clear, practitioner-friendly language.
- How CUDA libraries support specialized workloads — examine practical examples from financial services, healthcare, and manufacturing without losing sight of the common platform underneath.
https://www.linkedin.com/events/7506558705501503488?viewAsMember=true
30 Sep
30 Sep
A New Way to Build Edge AI: Agentic Development on NVIDIA Jetson
Wednesday 30 September ⋅ 16:00 – 17:00 (UTC)
Building AI at the edge means taking careful coordination across hardware, software, and runtime environments. From selecting compatible JetPack versions and containers to managing memory and configuring inference pipelines, setup and integration can take time away from building the application itself.
Agentic development changes that. By pairing coding agents running with Codex and Claude Code using NVIDIA Jetson Agent Skills, developers can go from a natural-language prompt to a working, optimized edge AI build in far less time. Jetson skills let agents inspect the device, configure the software environment, and construct repeatable AI workflows, reducing the guesswork and iteration that typically slow development down.
In this livestream, we’ll demonstrate how to use a coding agent, such as Codex with the Astra model, in a hands-on Jetson development workflow. You’ll learn how to:
Agentic development changes that. By pairing coding agents running with Codex and Claude Code using NVIDIA Jetson Agent Skills, developers can go from a natural-language prompt to a working, optimized edge AI build in far less time. Jetson skills let agents inspect the device, configure the software environment, and construct repeatable AI workflows, reducing the guesswork and iteration that typically slow development down.
In this livestream, we’ll demonstrate how to use a coding agent, such as Codex with the Astra model, in a hands-on Jetson development workflow. You’ll learn how to:
- Install and configure Jetson agent skills.
- Inspect a Jetson device and understand its software and hardware environment.
- Work with JetPack, containers, inference runtimes, and device resources.
- Build and iterate on AI pipeline workflows directly on Jetson.
https://www.youtube.com/watch?v=OF_ryVZmB3w
01 Oct
01 Oct
Build Visual AI Agents From a Prompt With NVIDIA Cosmos and VSS 3.3
Thursday 1 October ⋅ 16:00 – 17:00 (UTC)
Building visual AI agents requires connecting live video streams alerts, search, and insight—and optimizing the cost of AI processing on hours of footage.
Join us live to build a visual AI agent from a natural-language prompt using NVIDIA Cosmos and NVIDIA VSS 3.3. See how the Build Vision Agent skill helps reduce development effort and how Adaptive Efficient Video Sampling (EVS) saves on video processing costs.
You’ll learn how to:
Join us live to build a visual AI agent from a natural-language prompt using NVIDIA Cosmos and NVIDIA VSS 3.3. See how the Build Vision Agent skill helps reduce development effort and how Adaptive Efficient Video Sampling (EVS) saves on video processing costs.
You’ll learn how to:
- Use a coding agent and VSS skills to combine alert verification, video search, summarization, and reporting.
- Review and validate the deployment, reuse shared services, and add capabilities to a running application.
- Configure Adaptive EVS and measure its impact on token usage, throughput, and latency.
https://www.youtube.com/watch?v=PQJKs1dyK7I
07 Oct
07 Oct
NVIDIA Nemotron 3.5 LightningとNeMo Switchyard で高めるトークンのコストパフォーマンス
Wednesday 7 October ⋅ 09:00 – 10:00 (UTC)
AIエージェントが自律的に長期間稼働し、推論を繰り返すようになると、トークン使用量と運用コストが急速に増大します。本エピソードでは、AI エージェントがタスクの品質を満たしつつ、同じ予算内でより多くの成果を得るための2つのアプローチを探ります。1つ目の提案として、NVIDIA Nemotron 3.5 Lightning を紹介します。事後学習（Post-training）によるモデルの最適化、量子化やQAD（Quantization-Aware Distillation）による推論効率の向上、そして推測デコーディング（Speculative Decoding）による生成の高速化について解説します。また、ゲストのABEJA様より事後学習の取り組みから得た知見を共有し、さらに、開発者がすぐに実践できるNVIDIAのクックブックレシピを紹介します。2つ目の提案は NeMo Switchyard であり、これは効率的な特化型モデルと、フロンティアモデルをタスクに応じて最適に組み合わせることを実現するルーティングツールです。最後に、具体的な次のステップ（タスクの選定、Nemotronの事後学習の開始、そして品質・処理時間・総コストの評価）を呼びかけます。
学べること:
学べること:
- 事後学習を通じて Nemotron 3.5 Lightning を特定の用途に適応させ、量子化、QAD、推測デコーディングによって推論効率を向上させる方法を理解します。
- ABEJA の実践的な知見から学び、自社のタスクにおける Nemotron の事後学習と評価を始めるために適した NVIDIA Cookbook のレシピを理解します。
- NeMo Switchyard によるモデルルーティングが有効な場面を理解し、タスクの品質、完了時間、総コストの観点からモデルの選択肢を比較します。
https://www.youtube.com/live/tu85yTPx6VQ
20 Oct
We’ll explore how AI can drive economic growth, strengthen digital autonomy, and build sustainable infrastructure for generations to come.
GovTech Campus, Max-Urich-Straße 3, 13355 Berlin, Germany
21 Oct
Get ready for the GTC Berlin keynote with industry perspectives, emerging ideas, and a closer look at the breakthroughs driving how Europe and the world are building and deploying AI.
GTC Berlin Keynote Information Here
GTC Berlin Keynote Information Here
Tempodrom, Berlin
21 Oct
Watch NVIDIA CEO Jensen Huang deliver the GTC Berlin keynote live, and connect the latest AI innovations to national transformation priorities.
GovTech Campus, Max-Urich-Straße 3, 13355 Berlin, Germany
21 Oct
Hear from NVIDIA CEO Jensen Huang live on stage at the iconic Tempodrom to kick off GTC Berlin. Arrive early to catch the GTC Live pregame show for an insightful discussion on the latest in AI infrastructure with industry leaders.
GTC Berlin Keynote Information Here
GTC Berlin Keynote Information Here
09 Nov
See full workshop agenda - https://events.nvidia.com/ai-inference-dsx-workshops
Radisson Hotel Salt Lake City Downtown 215 West South Temple, Salt Lake City, UT, 84101
09 Nov
See full workshop agenda - https://events.nvidia.com/ai-inference-dsx-workshops
Radisson Hotel Salt Lake City Downtown 215 West South Temple, Salt Lake City, UT, 84101
01 Dec
Hear from NVIDIA CEO Jensen Huang live on stage to kick off GTC Washington, D.C. Arrive early to catch the GTC Live pregame show for an insightful discussion on the latest in AI infrastructure with industry leaders.