쉐도잉 연습: Announcing NVIDIA RTX Spark | GTC Taipei 2026 Keynote by CEO Jensen Huang - 영상으로 영어 말하기 배우기

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 to Windows 1 and Windows 2 and Apple 1 and Apple 2.

And by the time that we came along, Windows 3.1 was the PC.

And as you know, Windows 95 made PC personal.

It took PC from enterprises, companies, and made it into a consumer electronics device.

everybody should have one and everybody does.

This is the beginning.

This computing platform did several things incredibly smart.

Windows was not just disaggregated, as you know.

Windows was properly abstracted.

It was architected just right.

Systems BIOSs, open chipsets, the operating system with drivers,

Drivers, drivers that could be connected and installed at runtime.

And an abstraction layer with a multimedia API that opened up the PC to what we all know today.

Each one of these elements were essential in making the PC so popular.

40 years later, Microsoft and NVIDIA are going to reinvent the PC.

This is going to be the new PC.

Now tomorrow night, tomorrow night, I think it's tomorrow night our time, but I'm going to be with Satya.

We're going to talk a lot more about the work that we're doing together.

Microsoft NVIDIA over the last three years, it took this long to completely reinvent how the PC is going to work

so that we could be ready for this moment.

As I mentioned earlier, that compute pattern called the agent, It's going to run in AI clouds.

It's going to run inside enterprises.

It is also going to run on your PC.

What's going to happen to that PC when it has an autonomous agent?

An agent that's helping you, that understands you.

You could talk to it.

It could look at you.

You could ask it to read files, go help you do some research.

It could do a lot more that I'll show you.

But the new operating system is, of course, the old operating system plus large language models.

Large language models, in a lot of ways, is the modern version of DirectX.

It has, of course, input and output, understands prompts.

It understands computer vision.

It can generate video.

It can generate sounds.

It is the modern extension, the intelligence extension of the PC, of a computer.

On top of that, the application, as I mentioned before, is going to be replaced by now an agentic runtime.

And that is the modern application, an agent.

Let's now take a look at what it can do.

It started with a spark.

An idea.

To reimagine the PC for the first time in 40 years.

For the age of AI.

What becomes of our personal computer in a world of agents?

Agents running natively.

Connected to models.

Local or in the cloud.

Our personal AI.

Sandboxed for security.

Running continuously.

Getting work done.

The chips and the OS must evolve.

Introducing RTX Spark.

Spark, everything we've learned over 33 years, distilled into one chip.

Blackwell RTX GPU with 6,144 CUDA cores.

One petaflop of AI performance.

A custom 20-core Grace CPU built in partnership with MediaTek.

Fused by MVLink.

128 gigabytes of unified memory.

TSMC 3 nanometer process.

70 billion transistors and in close collaboration with Microsoft a Windows platform for agents.

We're reinventing the personal computer for creating for gaming for agents.

This is the dawn of a new personal computing revolution and it starts with NVIDIA RTX Spark.

Here it is.

Of course, I've got to show you the most beautiful part, which is video games.

It's also the closest to our heart.

This is Forza.

This is 007, by the way.

The new 007 game, I'm looking forward to playing it.

I look a little bit like him.

Ladies and gentlemen, NVIDIA's RTX Spark laptops.

Now, thank you.

I have too many things in my pocket.

There are so many things.

Okay, all right.

This is the most amazing chip the world has ever built.

This is the N1X that we built in partnership with MediaTek.

I think I saw Rick earlier.

This is N1X.

This is a beautiful chip.

This is a chip that, frankly, would take 33 years to build.

And the reason for that is because 100% of NVIDIA software stack runs here.

if you want to run a digital biology no problem

if you want to do seismic processing no problem you want

astrophysics no problem everything associated with CUDA all the physics all

the biology all the genomics all the AI no problem all

the computer graphics no problem every single application NVIDIA has ever created and every single application that Windows has ever run

One, Microsoft and NVIDIA meticulously optimized everything so that this computer literally runs everything the world has ever created.

Plus, it now runs agents.

An incredible computer.

I'm so proud of it.

Okay.

Okay, now I want you to keep that in mind in the next video I'm going to show you.

Just imagine everything here is going to run on your PC.

Now that computer could have a local NemoTron 3 Ultra model or NemoTron 3 supermodel,

100

or it could have a cloud code or codex or some other model in the cloud or something on the network.

101

And it's going to work and do something amazing.

102

Let's play.

103

Every house starts as an idea.

104

Getting from idea to design takes a myriad of tools, expertise, and a lot of time.

105

Now, an agent running locally on RTX Spark can help me design a house using the tools on my laptop,

106

with an open shell sandbox running the Hermes harness connected to Claude Sonnet in the cloud.

107

I select the site, share my concept sketches and mood board of styles to inspire my design.

108

And the prompt, a text description of the requirements and the design intent.

109

My agent goes to work.

110

Using the tools on my laptop, it opens Rhino and starts modeling the site, shaping terrain, setbacks, and the building envelope.

111

Then it proposes building forms, optimized for cost, comfort, and quality.

112

With the form defined, my agent generates the interior layout.

113

Walls, circulation, rooms begin to take shape.

114

I jump in whenever I want, to adjust, to change.

115

Doors, windows, and structural elements are placed automatically.

116

My agent detects its own mistakes and fixes them.

117

When I approve, the agent exports the model from Rhino into Blender.

118

Materials and object properties transfer with the design context intact.

119

I fine-tune the materials, get the look just right.

120

Then I pick the shots.

121

Blender renders the house.

122

My agent, using generative AI with the Flux 2 model, makes them photoreal.

123

Multiple viewpoints, lighting conditions.

124

What was once a complex workflow is now guided and simplified by my agent.

125

Working with me on RTX Spark.

126

Designed at the speed of imagination.

127

PC in the world of agents.

128

The developers are so excited about it.

129

This is an incredible computer.

130

All of the acceleration, all the software capabilities associated with it.

131

working with every developer to make it incredible for all of you.

132

The next one, Adobe.

133

Incredible tool suite, of course, used by tens of millions of people around the world.

134

They have re-engineered the architecture, the core of Adobe Photoshop and Premiere, and they'll release it for RTX Spark.

135

It is twice as fast.

136

It's already fast.

137

Now it's going to be twice as fast.

138

And it's also designed to be agent-friendly with its MCP server, it can now interact with agents on your laptop.

139

The number of customers, the number of partners that are so excited to bring RTX Spark to the market is just incredible.

140

You know, this is the first across the lineup of PC reinvention for 40 years.

141

And I'm just so happy that all of you and the ecosystem around the world has joined us.

142

This is basically everybody.

143

Everybody will support RTX Spark and will be building incredibly smart and powerful and beautiful laptops with all of us.

144

Thank you very much. But that's not all.

145

That's not all.

146

RTX Spark is a reinvention of laptop.

147

But in fact, Microsoft NVIDIA is reinventing all of PC.

148

And today we're announcing a whole new line.

149

Three revolutionary Windows machines covering desktop, laptop, and workstations.

150

All 100% Windows compatible, 100% CUDA, 100% NVIDIA AI Tensor Core.

151

Everything that you see that runs on NVIDIA and all these different platforms around the world runs here.

152

This is the first completely re-engineered, reinvented line of PCs that has happened in 40 years.

153

Now, what's really amazing is this.

154

So this is the RTX Spark laptop.

155

This is the desktop.

156

So this one's from MSI.

157

Joseph, this one's yours.

158

Okay, look how beautiful this agent could run 24-7, meter free.

159

And you could download your agent.

160

You could raise your lobster in here.

161

This is your clock.

162

It's running all the time.

163

No meter anxiety and it's sitting here connected to your whole house,

164

connected to your laptop, connected to your display, all the cameras, your dryer,

165

your water cooler, your water heater, your everything, whatever you want, your security system, all connected to this and this becomes your personal AI,

166

your personal AI agent.

167

And it gets smarter and smarter and smarter over time because today we have Nemo Tron 3 Ultra.

168

Tomorrow we have Nemo Tron 4 and then Nemo Tron 5, Nemo Tron 6.

169

And we just keep getting us smarter and smarter and smarter.

170

And meanwhile, this is sitting at home helping you do things.

171

If you want to book a travel, no problem.

172

And if you want an incredible system,

173

this is a DGX station for Windows.

174

compatible with Windows, wants everything in Windows, and it has 768 gigabytes of memory.

175

And so you could run a trillion parameter model.

176

This is unbelievable.

177

20 petaflops, eight terabytes per second of memory bandwidth, and this sits by your desk.

178

You basically, if you're a developer of large language models, you're a developer of agents, having this sit by your desk gives you all the compute you need.

179

And then when you deploy it, you put it into the cloud.

180

Now, there's something that if you look at this and think about this, something is happening here.

181

Remember, 15, 20 years ago, we used to have an idea called a phone.

182

Today, we have an idea called a PC.

183

Today, when you think about your phone, the one thing you don't do with it is make phone calls.

184

You do just about everything else.

185

And so that phone means something very different to you than a phone of the past.

186

I am certain what's going to happen here

187

is that the PC 10 years from now and the PC that you think about today, a tool, whether you launch applications,

188

click and type, and this PC is going to be completely different.

189

Here's my theory.

190

I can totally imagine, just as every house today has a home theater,

191

where many houses have home theaters, big TVs, lawnmowers, dishwashers.

192

I could totally imagine that someday there's actually an AI supercomputer in your house, and it's running all of your agents.

193

It's running all of your assistants and they're doing all kinds of things for you all the time.

194

And you have to have it in your house just like you have a home theater in your house, you have stereos in your house, you have game consoles in your house.

195

You would have assist AI agent computers running in your house.

196

And these in time becomes a lot more like R2-D2 to you.

197

it becomes more like c3po to you then it feels like

198

a pc to you there is no question this reinvention of

199

the computer is as big of a deal as the reinvention

200

of the phone into what we now know as the smartphone

201

and so this is the beginning of

202

that journey this is the beginning of a new line and

203

so we have a roadmap for this this is a brand new product family for us every single generation of architecture, we will have a desktop,

204

a laptop, a workstation, and then a desktop, a laptop, and workstation.

205

And the thing that I am just incredibly pleased,

206

incredibly honored, is that 100% of the world's PC industry has joined us to reinvent the PC.

207

A new line, a new beginning.

208

Thank you.

209

Thank you.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

쉐도잉 연습: Announcing NVIDIA RTX Spark | GTC Taipei 2026 Keynote by CEO Jensen Huang - 영상으로 영어 말하기 배우기

왜 이 비디오로 말하기 연습을 해야 할까요?

문맥 속의 문법 및 표현

흔한 발음 함정

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법