AI 및 기술 산업에서 엔비디아의 지배력

### 세계에서 가장 가치 있는 기업이 되기 위한 Nvidia의 여정
* 💻 엔비디아는 **2024년 6월 18일 시가총액 3조 3,400억 달러**로 마이크로소프트, 애플, 삼성, 알파벳과 같은 거대 기술 기업을 제치고 **세계에서 가장 가치 있는 기업**이 되었습니다.
* 🚀 이 회사의 성공은 **1993년 병렬 처리 및 그래픽 렌더링을 위한 GPU의 잠재력을 발견한 젠슨 황과 다른 두 명의 CEO**가 설립한 것으로 거슬러 올라갑니다.
* 🎮 1999년에 그래픽 처리 장치로 판매된 최초의 GPU인 **GeForce 256**을 출시하여 PC 및 콘솔 게임에 혁명을 일으킨 Nvidia는 획기적인 발전을 이루었습니다.
* 🧠 2006년, 엔비디아는 비그래픽 작업, 특히 AI 개발 분야에서 GPU의 모든 연산 능력을 활용할 수 있는 소프트웨어 플랫폼인 **CUDA(컴퓨팅 통합 장치 장치 아키텍처)**를 출시하며 전략적인 행보를 보였습니다.
* 💰 최근 엔비디아의 가치가 급등한 것은 **10:1 주식 분할**로 인해 AI 기술에 대한 수요가 증가하는 가운데 신규 투자자들의 주식 접근성이 높아졌기 때문일 수 있습니다.
* 🤖 이제 엔비디아의 GPU는 **의료부터 자율 주행 차량에 이르기까지 다양한 산업 분야의 애플리케이션**을 구동하는 AI 개발의 필수 요소입니다.
* 🌐 또한 이 회사의 기술은 **Amazon Web Services를 비롯한 주요 클라우드 서비스의 기반**이 되어 디지털 인프라에서 중요한 역할을 담당하고 있습니다.
* 🔮 AI 성장의 지속 가능성에 대한 우려에도 불구하고, 디지털 트랜스포메이션의 핵심 플레이어로서 **엔비디아의 입지**는 향후에도 지속적인 성공을 시사합니다.

엔비디아는 GPU 혁신과 AI 기술 분야의 우위를 바탕으로 2024년에 세계에서 가장 가치 있는 기업이 되었습니다.

on the 18th of June 2024, Nvidia became the most valuable company in the world at $3.34 trillion. They overtook Microsoft, Apple, Samsung, alphabet. It's hard to stress just how big of a deal this is. I mean, Pokémon, you know, the highest grossing media franchise in the world, this could buy that company 36 times. And we know Nvidia, you might even be watching this video using one of their graphics cards in your PC. But we're talking a company that overtook Apple, you know, the guys who managed to sell luxury smartphones to like a third of the world population. You don't beat that just with some high-end PC graphics cards. So what on Earth have a media done to a get themselves to a position where they could even dream of overtaking all the other big tech companies and B actually overtake them. And one thing that I need to make super clear, which makes this all the more surprising, is that Nvidia only started in 1993, which is recent enough that the guy who is now

CEO Jensen Huang, he was the same guy who founded the company along with two other guys. Jensen used to work as a waiter's assistant in a local Denny's Diner. When he was younger, he fell in love with computer science and eventually went from there to getting his dream job working with AMD, one of the leaders at the time, as a microprocessor designer. Until one day when he decided, I got an idea. Jensen basically realized the key thing that was holding PCs back from unparalleled performance, which I'm getting to. So he booked a table all the way back where it began, at a Denny's diner, with these two other guys. And that is famously where they hatched the plan to form Nvidia. There's literally a plaque on the wall where that meeting happened. But Nvidia didn't have its name at this point. Do you know where that came from? Well, most of the guys' files documenting their plans about this future company had been pretty uncreative named Next Version. So when they decided that we're actually doing

this they looked up words that included Envy in that order, and they found the Latin word Invidia, which is the name of an ancient Roman goddess. Invidia was the personification of Envy, a pretty unpleasant lady with a poison tongue and green eyes. Thus, the name Nvidia was born. So, the brand name basically means next version Envy, kind of saying you're going to be so jealous of our next chip. And now that you know where the Greene Eye logo comes from, you too will no longer be able to see it without also seeing this haunting image alongside it. So you're welcome. And now that you know, you will see this origin all across their branding too, like the slogan for the GeForce 8 series graphics cards was Green With Envy, and the company's highest n gpus for a long time, they were called Titans, and this Nvidia was believed by some ancient Greeks to be the daughter of a Titan. So it all LS together. But what actually made Nvidia different? What was this big idea that they were getting together for? Well in

1999, Nvidia released the GeForce 256, the first chip ever to be marketed as a Graphics Processing Unit, or GPU, a piece of hardware that could sit alongside your CPU, which at this time could only process one calculation at a time and take on the graphics rendering load while you're gaming using far more efficient parallel processing. It was designed to divide big tasks that would previously be done very slowly into smaller parts and then distribute those parts amongst many, many small processes, which in turn freed up people's actual CPUs to focus on things like in-game physics. The concept of the GPU quickly caught on in both PC and console gaming, which pretty much revolutionized gaming and very quickly turned Nvidia into a household name. Nvidia has absolutely killed it with GPUs ever since then. Fun fact, actually, this is the graphics card I installed on the first ever PC I built. Every couple of years, they come on stage, they've announced a new generation of graphics cards, and they've been so successful at making each one a leap above the last.

that they're now outselling their traditional rival AMD. You know, the company who Jensen originally got his dream job working at to a ridiculous extent. With Nvidia's first quarter revenue this year at $26 billion compared to AMD's, well, measly 5.5 billion. But they didn't get as big as they are today just by coasting on GPU sales. Here's the rocket fuel that made their growth just explode. Nvidia made a huge bet on AI in 2006. Nvidia released CUDA (Compute Unified Device Architecture), which they could have done a better job naming for something that's actually a bit of a game changer. It was a software platform that allowed the developers of apps to properly utilize the full power of Nvidia GPUs even for non-graphics tasks. Developers could take tasks that would usually be performed one by one on the CPU cores and instead, just like they've been able to do with games on Nvidia GPUs, split those tasks up and perform parallel processing using the thousands of GPU cores they now had.

access to this was a big moment for apps. It made Nvidia's graphics cards the tool for much more than just gaming. They became the gold standard for video editors, for financial modelers, cryptocurrency miners, anyone who wanted to do anything with a computer, and most importantly, for any company wanting to build and train a big powerful AI model. How do you do that? Not on CPUs, which are doing things one step at a time, but instead by harnessing the full power of a GPU. And which GPU are you most likely going to pick? Nvidia. Nvidia being the first company to unlock the full computational power of the GPU for the average developer meant that their CUDA software became the default option. Developers got comfy with it, it improved very quickly, and because this CUDA programming environment was built specifically around Nvidia's Graphics chips, it was super efficient. It's very similar to how efficient iPhones are because every thread of that iOS software is designed around every fragment of the iPhone hardware. And with this, by being very forward-thinking.

working with other tech companies on AI for literally the last two decades. Nvidia became embedded into the very fabric of artificial intelligence, whether it's researchers wanting to run complex simulations to figure out what proteins could potentially cure major diseases, or Tesla wanting to train algorithms for their self-driving cars. Nvidia became the crutch to lean on. Literally right now, Tesla is nearing completion on a supercomputer cluster at their Texas gigafactory, which is supposed to improve Tesla's full self-driving using $50,000 Nvidia GPUs. And a sub to the channel would be GP youtiful. That also could have been better. And so when AI development exploded over the last couple of years, with every single person and their dog now having access to tools like chat GBT, Gemini, and more, what's running all of that? When we ask for an image of a robotic Flamingo doing rolly-poly on the moon, what's processing that AI request? Yes, Nvidia. But another crazy bit of context, Nvidia's tech is also what

powers Amazon Web Services, which is the world's most broadly adopted web services provider. They're the company who builds the infrastructure for basically 30% of the cloud-based internet. So the chances are pretty high that anytime you visit a website, there is NVIDIA tech somewhere along the pipeline that's bringing it to you. So that explains the first part of this puzzle - how Nvidia became the sole arms dealer of the chips required for the now massive AI industry arms race. But how did they go one step further to actually overtake every single other tech company in June? Well, they decided to do a 10:1 stock split. And to find out what that is, I can just ask the Arya AI baked into the Opera browser. Explain to me a 10:1 stock split in two sentences with an example. Right, so a 10:1 stock split means that each existing share of a stock is divided into 10 new shares. And then it gives an example to say that if you owned 100 shares of a company

they did a 10 to 1 stock split. You would now have a thousand shares in your possession, but the total value of your investment is the same because it's just that now each individual share is worth a tenth of what it used to be. Why does that matter? Well, it means that for new investors, Nvidia shares have just gotten 10 times more affordable, so it makes investing in this company much more accessible at a time where the entire world is looking for some way to invest in AI. It became a no-brainer. It was explosive as for now and the future while Nvidia has been hit with a pretty severe Market correction so they backed down into third most valuable company, and while there are some question marks around AI like is it being over valued in the same way that the dotom bubble was and can the world sustain it cuz you know there was a recent study that showed that at the current rate of growth our AI needs alone will consume the amount of power of an entire country the size of the Netherlands but even

then now that the AI cat is out the bag, it doesn't look like AI is going anywhere. And even if it does, there's no changing that the world is going digital. Movies are now being made using game engine graphics. Surgeons are now honing their craft using digital twins of patients before operating on the real thing. The metav, if that ever comes to fruition, it's all being powered by Nvidia GPUs. So that's how Nvidia got to the crazy position that they're currently in. And by the way, Arya isn't even the most fun thing about the Opera browser anymore. So you've seen how tab Islands can help you group together all of your tasks into buckets so they're organized. But now you can hover over any tab and add a tab emoji too. Why? Well, aside from a delightful touch of customization, I've had two benefits from this. One, that every time I have two similar tabs open, this allows me to differentiate them instead of persistently gaslighting myself into opening the wrong one every time.

also, when you're browsing, you tend to have one or two key tabs. Like for me, it's the document I'm compiling all of my research into, and tab emojis mean that even if you've got like 40 things open at once, I always know to return to my cooking emoji. So give it a go using my link in the description.

How NVIDIA just defeated every other tech company

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I'm Arun Maini, I'm a 27 year old Economics graduate whose life's passion is Technology, and I'm on a mission to make the most FUN and USEFUL Tech videos on the Planet! 🙏





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엔비디아: 세계에서 가장 가치 있는 기업이 되기 위한 놀라운 도약

2024년에 Microsoft와 Apple 같은 거대 기술 기업을 제치고 세계에서 가장 가치 있는 기업이 된 Nvidia는 1993년에 설립된 회사로서는 놀라운 업적을 달성했습니다.

고대 로마의 질투의 여신에서 유래한 회사명은 최첨단 컴퓨터 칩을 생산한다는 비전을 반영하며, 이를 통해 업계에서 차별화되었습니다.

엔비디아의 성공은 탁월한 PC 성능에 대한 CEO 젠슨 황의 혁신적인 비전과 전략적 브랜딩 및 제품 개발 덕분입니다.

엔비디아 지포스 256의 영향과 GPU의 부상

엔비디아의 지포스 256은 그래픽 렌더링에 혁명을 일으키고 보다 효율적인 병렬 처리를 가능하게 하는 GPU의 개념을 도입했습니다.

지속적인 그래픽 카드 개선에 성공한 덕분에 경쟁사인 AMD를 제치고 시장을 장악할 수 있었습니다.

2006년에는 개발자가 비그래픽 작업에 GPU의 모든 성능을 활용할 수 있는 소프트웨어 플랫폼인 CUDA를 출시하여 엄청난 성장의 원동력이 되었습니다.

게임에서 AI 강자로 진화하는 엔비디아의 진화

엔비디아의 그래픽 카드는 게임 도구에서 비디오 편집, 금융 모델링, AI 개발의 필수 요소로 전환했습니다.

개발자들이 기본적으로 선택하는 CUDA 소프트웨어는 인공 지능과 Tesla와 같은 기술 기업과의 협업에서 중요한 역할을 담당하게 되었습니다.

이제 엔비디아의 GPU는 AI 개발 및 프로세싱의 초석이 되어 AI 알고리즘을 실행하는 데 필수적인 요소가 되었습니다.

엔비디아의 지배력과 10:1 주식 분할

Nvidia는 클라우드 기반 인터넷의 30%에 인프라를 제공하는 핵심 기업이며, AI 산업을 위한 칩의 선도적인 공급업체가 되었습니다.

10:1 주식 분할 결정으로 Nvidia의 주식이 더 저렴해져 새로운 투자자를 유치하고 AI에 대한 수요가 증가하는 가운데 회사에 더 쉽게 투자할 수 있게 되었습니다.

이러한 움직임은 시장 조정에도 불구하고 엔비디아의 입지를 공고히 하고 AI 산업의 지속 가능성과 가치에 대한 의문을 제기했습니다.

AI와 디지털화가 영화, 의학, 브라우징에 미치는 영향

영화 제작부터 의료 훈련에 이르기까지 다양한 분야에서 AI가 필수적인 요소로 자리 잡고 있으며, 이는 대부분 Nvidia GPU를 기반으로 합니다.

이제 Opera 브라우저의 탭 아일랜드에서 탭 이모티콘을 추가할 수 있는 옵션을 제공하여 사용자 지정과 향상된 작업 구성을 모두 제공합니다.

탭 이모지를 사용하면 사용자가 유사한 탭을 구분하고 탐색 중에 주요 탭을 쉽게 찾을 수 있습니다.