Jensen Huang (黃仁勳)
CEO · NVIDIA
NVIDIA CEO。基礎設施供應商視角——不選邊,賣鏟子,安全是產品特性。 常講「Token 經濟學」「AI factory」「每家公司都會有 AI 工廠」。
出現在哪幾期週報
- 2026-W27 · AI 從對話轉向行動:BioNeMo 與自定義 GPT — Agentic AI 跨入科學與商業落地
- 2026-W26 · AI 代理與科學發現的雙螺旋 — 從代理經濟到生命科學革命,底層心智模型正在重塑
- 2026-W24 · AI 電網時代來臨,安全稅成為新賽局門檻 — 本週 Jensen、Sam、Dario 共識與分歧深度解讀
- 2026-W23 · AI 從『問答』躍遷至『執行』時代 — Codex 與 AI Factory 定義新計算範式
- 2026-W22 · AI 推理成本續降,科學與工業落地加速 — 大佬共識:AI 正向「可操作物理世界」的代理演進
- 2026-W21 · AI 代理進入「目標驅動」時代 — 從工具到同事:AI 代理自主性躍升為本週主線
- 2026-W20 · AI 協作工具普及推動生產力質變 — 多模態數據與長語境重塑開發流程
- 2026-W19 · AI 代理進入桌面與企業級落地實戰 — 本週焦點:從 Chrome 整合到 CX 平台,代理不再是 demo
- 2026-W17 · 圖像推理與物理AI:從生成到執行的兩條路徑 — AI 正從語言模型走向「能看、能想、能動」的世界模型
近期訪談
- 主講r=0.90@ YT · Jensen Huang (NVIDIA)
Every single company is built on intelligence, some foundation of intelligence that's specialized. Our company is specialized in something. We're not good at everything, but we're very, very good at one thing. And every company is built that way, you know. And so, uh, that specialization, your company's intelligence is who you are. You can't possibly not continue to control it, improve it, make it
- 主講r=0.90@ YT · Jensen Huang (NVIDIA)
In this fireside chat, Alan Weckel from 650 Group and NVIDIA’s SVP of Networking, Gilad Shainer, discuss how networking serves as the heart of modern AI factories. The conversation explores the shifting landscape of network architectures as the industry enters an 800 gig upgrade cycle and experiences explosive bandwidth growth. Shainer details four essential networking infrastructures for AI: scal
- 主講r=0.85@ YT · Jensen Huang (NVIDIA)
Welcome to the frontier of Physical and Sovereign AI. At GTC Taipei 2026, the spotlight is on the top NVIDIA Inception startups leveraging full-stack acceleration to solve complex global challenges across industries. Timestamps: 0:00 - The New Era of Physical & Sovereign AI 0:32 - Tricuss: PhysicsNeMo & R&D Simulation 1:05 - FindingsTech: NVIDIA MONAI in Healthcare 1:38 - Nexuni: Isaac GR00T & Phy
- 主講r=0.95@ YT · Jensen Huang (NVIDIA)
NVIDIA released a new toolkit called BioNeMo Agent Toolkit that's meant to let AI agents actually do hands-on scientific work in biology and chemistry - not just answer questions about it. Instead of an AI just chatting about a protein or a drug compound, it can now use real scientific software tools: predicting protein shapes, testing how well a drug molecule binds to a target, analyzing genetic
- 主講r=0.90@ YT · Jensen Huang (NVIDIA)
Hey everyone, we're here at Computex 2026 showcasing gaming on the RTX Spark. Behind me are titles like Alan Wake 2, War Thunder, and Pragmata. Here it is running at 1600p resolution with ray tracing and DLSS 4.5. This is playing so smooth. And with the new transformer model in DLSS 4.5, it really helps to bring out a lot of the detail in the environment. RTX Spark supports games running on Direct
- 主講r=0.95@ YT · Jensen Huang (NVIDIA)
Welcome to GTC Taipei. What an incredible [music] week this has been. Being here in Taiwan, surrounded by the people and the companies that are literally [music] building the future of AI, there is no feeling quite like it. The energy, the conversations, the partnerships, this is where it [music] all comes together. And Jensen gave us a lot to be excited about. >> GTC Taiwan. >> Let's start [music
- 主講r=0.90@ YT · Jensen Huang (NVIDIA)
BioNeMo Agent Toolkit is an open, agent-ready toolkit that gives any AI agent callable tools for protein structure prediction, molecular docking, generative chemistry, genomic analysis, and more. Built on more than a decade of NVIDIA life sciences libraries and models, BioNeMo Agent Toolkit has tools and skills for agentic software throughout the full drug discovery stack: from early biology to mo
- 主講r=0.90@ YT · Jensen Huang (NVIDIA)
BioNeMo Agent Toolkit is an open, agent-ready toolkit that gives any AI agent callable tools for protein structure prediction, molecular docking, generative chemistry, genomic analysis, and more. Built on more than a decade of NVIDIA life sciences libraries and models, BioNeMo Agent Toolkit has tools and skills for agentic software throughout the full drug discovery stack: from early biology to mo
- 受訪r=0.95@ YT · Jensen Huang (NVIDIA)
With the DGX system, we then are going to be able to train tailor-made foundational models that will support the broader national security mission at the unclassified level, and then ultimately deploy those in operationally relevant scenarios. Nvidia has now democratized these capabilities, so it's no longer in the province of just someone in computer science or just someone in operations research
- 主講r=0.90@ YT · Jensen Huang (NVIDIA)
Jyh-Shing Jang from E.SUN FHC will discuss how agentic AI and next-generation compute are redefining financial services by improving reporting, sentiment analysis, workflow support, and executive decision-making. Key Takeaways: Agentic AI can transform financial operations by gathering, analyzing, and structuring information for reporting and decision support Next-generation GPUs such as NVIDIA Bl
- 主講r=0.90@ YT · Jensen Huang (NVIDIA)
Hey, we're at Computex 2026 and we're showing how great RTX Spark is at running personal agents. Because of its 128 GB of unified memory, it can run big models. Those models also run very fast thanks to the built-in RTX GPU. And working with Microsoft, everything's local, keeping your data private and secure. Let me show you how. I'm going to take this simple concept art and add a material look to
- 主講r=1.00@ YT · Jensen Huang (NVIDIA)
We're here at BIO2026 in San Diego, one of the hubs of life sciences. And there's over 20,000 people here from across the entire life sciences industry. We came here this year because there is a revolution of AI for life sciences happening right here. We wanted to come talk to all of our partners and collaborators and find new ones. And most importantly, we made a huge launch. We see the future of
- 主講r=0.85@ YT · Jensen Huang (NVIDIA)
Discover how NVIDIA is collaborating with the Naval Postgraduate School (NPS) to empower thousands of students to work and build applications with AI. Todd Lyons, EVP at the Naval Postgraduate School Foundation, details how NPS is utilizing NVIDIA DGX and NVIDIA Omniverse technologies to create synthetic data, train foundational models, and deploy solutions at scale for the public sector. Learn mo
- 主講r=0.95@ YT · Jensen Huang (NVIDIA)
Hi everyone. We're here at Computex showing the new RTX Spark laptops. They're amazing for content creation letting you edit up to 12K 422 video or render gigantic scenes up to 90 gigs thanks to the 128 gigs of memory that we have on the laptops. And we're working with all of the top creative apps to make sure they're all working great on day one. Some of them are even adding new features. In this
- 主講r=0.95@ YT · Jensen Huang (NVIDIA)
Over the past decade, NVIDIA BioNeMo has helped researchers and pharmaceutical companies harness the power of generative AI to accelerate drug discovery, protein structure prediction, and molecular design. From early breakthroughs to today's state-of-the-art foundation models. Science is entering a new era, where accelerated computing, open models, and intelligent agents help researchers understan
- 主講r=0.70@ YT · Jensen Huang (NVIDIA)
Hey everyone, we are here checking out the ASUS P16 and P14 powered by the new RTX Spark Superchip. The P16 is a 16-in display running at 4K 120 Hz and the P14 is a 14-in display running at 3K 120 Hz. Also, both of them support ASUS Luminar Pro, which are OLED touchcreens with 1600 nits peak brightness. They're available in two colors, one in nano black and the other in neo white. Both of these la
- 主講r=0.90@ YT · Jensen Huang (NVIDIA)
High in the Chilean mountains, the Rubin Observatory—home to the largest digital camera ever built—captures a staggering 20 terabytes of sky data every single night. Hidden within these petabytes are the ultimate secrets of dark matter and dark energy, which make up 95% of our universe. The problem? Traditional workflows are slow and processing this data can take months. Enter NVIDIA cuPhoton. By
- 受訪r=0.90@ YT · Jensen Huang (NVIDIA)
NVIDIA founder and CEO Jensen Huang joins Coherent CEO Jim Anderson in Sherman, Texas for a conversation on the infrastructure behind the AI era, from advanced photonics and optical links to U.S. manufacturing capacity. Learn more about how the factories, workers, and supply chains behind AI are helping power America’s next industrial chapter. Read Press Release: https://www.coherent.com/news/pres
- 主講r=0.90@ YT · Jensen Huang (NVIDIA)
How do we create the conditions where we can potentially model biology in a computer in a way that is far beyond human capabilities so that we can work on better prediction models. I mean, in essence, that is in its simplest form what AI is trying to do. And over the last several decades, there have been extraordinary innovations that have been made by many of you attending this conference that co
- 主講r=0.85@ YT · Jensen Huang (NVIDIA)
Our view is that in 5 [music] to 10 years, customers shouldn't have to think about shopping in store or online. It will be one single [music] unified mode powered by this continuously learning AI system that incorporates what customers are doing in store, online, states of the shelf to build a fully [music] personalized experience.
- 主講r=0.90@ YT · Jensen Huang (NVIDIA)
What does it actually take to get NVIDIA Certified — and is it worth it? At GTC, we sat down with five AI professionals who went through the certification process and came out the other side. They shared their stories: why they chose to get certified, how they prepared, and what changed afterward — in their skills, their confidence, and the way their teams work. From generative and agentic AI to p
- 主講r=0.95@ YT · Jensen Huang (NVIDIA)
We're entering the era of inference, and as everything from autonomous agents, robots, and the token economy all begin to take shape, the AI grid is becoming foundational to how AI is actually delivered and experienced everywhere. Here are the top five things to know. >> [music] >> First, what is an AI grid? Well, it's geographically distributed, interconnected, and orchestrated AI infrastructure.
- 主講r=0.95@ YT · Jensen Huang (NVIDIA)
At GTC Taipei during COMPUTEX, NVIDIA founder and CEO Jensen Huang marked a new era for computing: agentic AI has arrived, useful AI is here, and AI factories are becoming the foundation for what comes next. Take a look inside the energy of GTC Taipei, from the keynote and the exciting announcements to the partner showcases, developer sessions, and community moments helping shape the future of AI.
- 主講r=0.85@ YT · Jensen Huang (NVIDIA)
Today we're at Ambidia and we're going to ask people what they really think about robo taxis. >> I love that I can control the vibes with the temperature as well as the music. I love robo taxis. They're so convenient and they're super precise with their pickup. I like them. I like that I don't have to figure out where to park. >> Oh, what do you think about robo taxis? >> I don't have to deal with
- 主講r=0.85@ YT · Jensen Huang (NVIDIA)
What this will provide for us is Nvidia's expertise and larger scale infrastructure. We have a lot of expertise in the various ways to pre-train models. We have expertise in multi-modality training [music] as well. And so, as we speak, our teams have been running experiments. The benefits for everyone involved really is that we will have a new open source frontier model that everyone can build off
- 提及r=0.30@ YT · Jensen Huang (NVIDIA)
Extreme Co-Design: Building the AI Factory | Kevin Deierling, SVP Networking, NVIDIA | Computex 2026 In this keynote from the Computex Forum in Taipei, NVIDIA SVP of Networking Kevin Deierling breaks down what it actually takes to build an AI factory — and why extreme co-design across the entire data center stack is the only way to deliver the tokens the agentic AI era demands. Deierling opens wit
- 主講r=0.95@ YT · Jensen Huang (NVIDIA)
Jensen Huang joined Dell CEO Michael Dell onstage to unveil the next-generation Dell AI Factory, powered by NVIDIA. The spotlight was on scaling AI factories and disaggregated inference using Dell and NVIDIA networking. Jensen shares his vision for the future of computing at #DellTechWorld. From AI factories and accelerated infrastructure to the next evolution of intelligent systems, the architect
- 主講r=0.95@ YT · Jensen Huang (NVIDIA)
My relationship with you started here. And many of you, many of you, many of my friends and partners here in Taiwan, your companies started here. This is in a lot of ways the beginning of the modern computer industry. 40 years now. Nvidia is 33 years old. the PC industry was already starting to get the P Windows one and Windows 2 and Apple Apple one and Apple 2 and by the time that we came along W
- 主講r=0.95@ YT · Jensen Huang (NVIDIA)
Thank you so much for being at Build again. I know it's late for you in Taipei. I really appreciate you staying up. You know, and then, you know, I've I've been looking at social and, you know, and everything people have been talking about since your keynote over the weekend. Uh, and suddenly, you know, this concept of unmetered intelligence right at the edge is so hot again. So, maybe you want to
- 主講r=0.95@ YT · Jensen Huang (NVIDIA)
A decade after NVIDIA DGX™-1, NVIDIA Vera Rubin redefines what an AI factory looks like. Built through extreme co-design, Vera Rubin unites trillions of transistors, modular compute, NVIDIA NVLink™, NVIDIA BlueField™, and silicon photonics into one unified platform—purpose-built for global-scale AI infrastructure. From model training to agentic AI workloads, Vera Rubin is the foundation for what c
核心概念分布(歷來)
- AI工廠× 5
- 物理AI× 3
- Agentic AI× 3
- RTX Spark× 2
- 蛋白質結構預測× 2
- 分子對接× 2
- 生成化學× 2
- 基因組分析× 2
- Blackwell GPU× 2
- 生成式AI× 2
- 極致協同設計× 2
- 公司智能× 1
- 專業化知識× 1
- 智能控制× 1
- 網路架構× 1
- Spectrum-X乙太網路× 1
- 頻寬增長× 1
- 共封裝光學× 1
- 主權AI× 1
- 全棧加速× 1