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#internship #csmajor #larp #NVIDIA
Jensen Huang recently visited Starbase, Texas, to personally deliver NVIDIA’s newest AI supercomputer, the DGX Spark, to Elon Musk. Despite its compact size, the DGX Spark is designed to deliver up to 1 petaflop of AI computing performance and supports up to 128GB of unified memory. The system is built around NVIDIA’s Grace Blackwell architecture and is designed to run advanced AI models locally without relying entirely on cloud infrastructure. The moment is particularly interesting because it brings together two of the most influential companies in AI and robotics. NVIDIA provides much of the computing power behind the modern AI boom, while Tesla is developing autonomous vehicles, Optimus humanoid robots, and large-scale AI systems through xAI. Almost a decade ago, Jensen Huang personally delivered one of NVIDIA’s earliest DGX systems to OpenAI. Today, he’s delivering the next generation of AI computing directly to Elon Musk at Starbase. As AI models continue to grow in capability, powerful local AI systems like the DGX Spark could become increasingly important for developers, researchers, robotics teams, and AI startups. The future of AI won’t just live in massive data centers. More of it may soon fit on a desk. • Follow @meteoric.ai for more content on AI and technology. Media: NVIDIA #ai #nvidia #elonmusk #technology #innovation
Jensen Huang recently visited Starbase, Texas, to personally deliver NVIDIA’s newest AI supercomputer, the DGX Spark, to Elon Musk. Despite its compact size, the DGX Spark is designed to deliver up to 1 petaflop of AI computing performance and supports up to 128GB of unified memory. The system is built around NVIDIA’s Grace Blackwell architecture and is designed to run advanced AI models locally without relying entirely on cloud infrastructure. The moment is particularly interesting because it brings together two of the most influential companies in AI and robotics. NVIDIA provides much of the computing power behind the modern AI boom, while Tesla is developing autonomous vehicles, Optimus humanoid robots, and large-scale AI systems through xAI. Almost a decade ago, Jensen Huang personally delivered one of NVIDIA’s earliest DGX systems to OpenAI. Today, he’s delivering the next generation of AI computing directly to Elon Musk at Starbase. As AI models continue to grow in capability, powerful local AI systems like the DGX Spark could become increasingly important for developers, researchers, robotics teams, and AI startups. The future of AI won’t just live in massive data centers. More of it may soon fit on a desk. • Follow @meteoric.ai for more content on AI and technology. Media: NVIDIA #ai #nvidia #elonmusk #technology #innovation
Live: Jensen Huang x Marc Benioff at @Dreamforce. Fresh off the debut of Koa — Salesforce’s first CRM reasoning model for Agentforce, built on @NVIDIA Nemotron.
Live: Jensen Huang x Marc Benioff at @Dreamforce. Fresh off the debut of Koa — Salesforce’s first CRM reasoning model for Agentforce, built on @NVIDIA Nemotron.
This is the most insane tech company in the world. ASML. Every single computer chip on Earth is made using their machines. Nvidia, Apple, Intel, Samsung…none of them can make any chips without ASML. But here’s the craziest part… The way these machines work is completely insane. If you like tech, this is gonna blow your mind. This is how computer chips are actually made… First, the ASML machine fires tiny droplets of molten tin. 50,000 droplets per second…each one thinner than a human hair. They then shoot a laser at each individual droplet, which vaporizes the tin into a plasma. That plasma…is hotter than the surface of the sun. It’s so hot, that when the plasma is created, it also emits extreme UV light. The machine guides that light through a series of hyper precise mirrors to beam it on a stencil which has the pattern for the chip. That pattern is then projected onto a thin slice of silicon that’s coated with special light reactive chemicals…essentially using the light to print the pattern onto the silicon. The machine then repeats this light printing process thousands of times, to build layer upon layer of silicon that stacks together to create a fully functional chip. Now here’s where it gets wild… These chip designs are super intricate…billions of transistors spaced only a few atoms apart. And that means the accuracy of the ASML machines are the equivalent of shooting a laser from the moon and hitting a penny on Earth. How insane is that? So in layman’s terms, the process to make a computer chip is vaporizing molten tin to create invisible light that beams atomic patterns onto thousands of layers of silicon. Follow @kallaway for more videos like this. #tech #ai #technology #artificialintelligence #asml
This is the most insane tech company in the world. ASML. Every single computer chip on Earth is made using their machines. Nvidia, Apple, Intel, Samsung…none of them can make any chips without ASML. But here’s the craziest part… The way these machines work is completely insane. If you like tech, this is gonna blow your mind. This is how computer chips are actually made… First, the ASML machine fires tiny droplets of molten tin. 50,000 droplets per second…each one thinner than a human hair. They then shoot a laser at each individual droplet, which vaporizes the tin into a plasma. That plasma…is hotter than the surface of the sun. It’s so hot, that when the plasma is created, it also emits extreme UV light. The machine guides that light through a series of hyper precise mirrors to beam it on a stencil which has the pattern for the chip. That pattern is then projected onto a thin slice of silicon that’s coated with special light reactive chemicals…essentially using the light to print the pattern onto the silicon. The machine then repeats this light printing process thousands of times, to build layer upon layer of silicon that stacks together to create a fully functional chip. Now here’s where it gets wild… These chip designs are super intricate…billions of transistors spaced only a few atoms apart. And that means the accuracy of the ASML machines are the equivalent of shooting a laser from the moon and hitting a penny on Earth. How insane is that? So in layman’s terms, the process to make a computer chip is vaporizing molten tin to create invisible light that beams atomic patterns onto thousands of layers of silicon. Follow @kallaway for more videos like this. #tech #ai #technology #artificialintelligence #asml
Jensen Huang is the founder and CEO of NVIDIA, the company that became a central force in AI computing through its GPUs and AI infrastructure. Known for leading NVIDIA’s transformation from a graphics chip company into a global AI technology leader, Huang frequently speaks about how AI will reshape industries, productivity, and the future of work. In this clip, he explains that AI itself may not replace people, but individuals who understand how to effectively use and operate AI tools could gain a major advantage. . . . Jensen Huang AI future, artificial intelligence, NVIDIA CEO, AI productivity, future of work, technology leadership, AI tools, business innovation, automation . . . #ArtificialIntelligence #BusinessInnovation #FutureOfWork
Jensen Huang is the founder and CEO of NVIDIA, the company that became a central force in AI computing through its GPUs and AI infrastructure. Known for leading NVIDIA’s transformation from a graphics chip company into a global AI technology leader, Huang frequently speaks about how AI will reshape industries, productivity, and the future of work. In this clip, he explains that AI itself may not replace people, but individuals who understand how to effectively use and operate AI tools could gain a major advantage. . . . Jensen Huang AI future, artificial intelligence, NVIDIA CEO, AI productivity, future of work, technology leadership, AI tools, business innovation, automation . . . #ArtificialIntelligence #BusinessInnovation #FutureOfWork
Masayoshi Son invested about $20 million in Nvidia in 1999 and later sold for a strong profit. What seemed like a successful investment at the time would eventually have been worth tens of billions of dollars as Nvidia became a leader in AI. It is a reminder that some of the biggest investment returns take decades to fully unfold. Follow us (@simplyougrow) for everything related to entrepreneurs Media: NVIDIA
Masayoshi Son invested about $20 million in Nvidia in 1999 and later sold for a strong profit. What seemed like a successful investment at the time would eventually have been worth tens of billions of dollars as Nvidia became a leader in AI. It is a reminder that some of the biggest investment returns take decades to fully unfold. Follow us (@simplyougrow) for everything related to entrepreneurs Media: NVIDIA
New upgrade😮‍💨🔥 #pc #gamer #gaming #setup
New upgrade😮‍💨🔥 #pc #gamer #gaming #setup
The Insane Web of AI Money, in 60 Seconds. Full vid in bio. . . . #AI #Nvidia #OpenAI #Anthropic #AIBubble #BigTech #Investing #FinanceShorts
The Insane Web of AI Money, in 60 Seconds. Full vid in bio. . . . #AI #Nvidia #OpenAI #Anthropic #AIBubble #BigTech #Investing #FinanceShorts
Nvidia’s Fix For The RAM Crisis: RTX 3060
Nvidia’s Fix For The RAM Crisis: RTX 3060
Jen-Hsun “Jensen” Huang, born on February 17, 1963, in Tainan, Taiwan, is a Taiwanese-American businessman, electrical engineer, and the co-founder, president, and CEO of NVIDIA. Since founding the company in 1993, Huang has transformed NVIDIA into one of the world’s leading technology companies, pioneering innovations in graphics processing, artificial intelligence, and accelerated computing. Renowned for his visionary leadership and relentless pursuit of innovation, he has played a pivotal role in shaping the future of AI and modern computing, inspiring entrepreneurs and engineers around the world. Follow @theapexxis to Elevate Beyond your Limits. #JensenHuang #NVIDIA #Innovation #Leadership #apexiss
Jen-Hsun “Jensen” Huang, born on February 17, 1963, in Tainan, Taiwan, is a Taiwanese-American businessman, electrical engineer, and the co-founder, president, and CEO of NVIDIA. Since founding the company in 1993, Huang has transformed NVIDIA into one of the world’s leading technology companies, pioneering innovations in graphics processing, artificial intelligence, and accelerated computing. Renowned for his visionary leadership and relentless pursuit of innovation, he has played a pivotal role in shaping the future of AI and modern computing, inspiring entrepreneurs and engineers around the world. Follow @theapexxis to Elevate Beyond your Limits. #JensenHuang #NVIDIA #Innovation #Leadership #apexiss
Donald Trump unexpectedly called NVIDIA CEO Jensen Huang in the middle of an on-stage interview, catching Huang completely off guard. Huang was speaking to thousands of people when Trump called, and the conversation quickly turned into Huang thanking the President for seeing through the complexity of the situation they had been discussing. An unscripted moment between two of the most influential figures shaping America’s AI and technology landscape. . . . Donald Trump, Jensen Huang, NVIDIA CEO, AI industry, artificial intelligence, semiconductor industry, Trump AI policy, NVIDIA . . . #ArtificialIntelligence #Semiconductors #Business . . . Credits: All-in Podcast
Donald Trump unexpectedly called NVIDIA CEO Jensen Huang in the middle of an on-stage interview, catching Huang completely off guard. Huang was speaking to thousands of people when Trump called, and the conversation quickly turned into Huang thanking the President for seeing through the complexity of the situation they had been discussing. An unscripted moment between two of the most influential figures shaping America’s AI and technology landscape. . . . Donald Trump, Jensen Huang, NVIDIA CEO, AI industry, artificial intelligence, semiconductor industry, Trump AI policy, NVIDIA . . . #ArtificialIntelligence #Semiconductors #Business . . . Credits: All-in Podcast
Does this smell 2008-ish? Nvidia is teaming up with Apollo, BlackRock, Blackstone, Goldman Sachs, KKR and Brookfield to help their customers borrow $500 billion
Does this smell 2008-ish? Nvidia is teaming up with Apollo, BlackRock, Blackstone, Goldman Sachs, KKR and Brookfield to help their customers borrow $500 billion
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