Jensen Huang’s vision is so far ahead of its time, you’d swear he’s a time traveler👇🙏
-Jensen has been NVIDIA’s CEO since he co-founded the company. Before that, he designed chips at AMD and worked in engineering, marketing, and management at LSI Logic.
-He understands technology—and knows how to turn it into a business. But what really sets him apart is a bet whose payoff was far from obvious at the time: his long-term commitment to CUDA!! CUDA is a platform and programming toolkit that makes it easier for developers to use GPUs for parallel computing.
-Jensen saw early on that GPUs couldn’t just be for gaming. They needed to be programmable. But that meant years of investment in chips, compilers, math libraries, and developer tools. NVIDIA stayed the course, even through a period when the company nearly went under.
-In 2012, NVIDIA GPUs helped deliver a breakthrough in an image recognition competition. More people began to see the potential of GPU-accelerated deep learning. Later, the crypto mining boom turned graphics cards into a hot commodity.
-Then came the generative AI explosion. That’s when people realized NVIDIA’s chips, tools, software libraries, and years of code and know-how accumulated by developers had already come together into a complete ecosystem.
Almost overnight, NVIDIA became indispensable to the world. Without Jensen’s early groundwork, NVIDIA wouldn’t be what it is today—and AI wouldn’t have advanced this quickly #WhoWillSucceedJensenHuangatNvidia?
-Jensen has been NVIDIA’s CEO since he co-founded the company. Before that, he designed chips at AMD and worked in engineering, marketing, and management at LSI Logic.
-He understands technology—and knows how to turn it into a business. But what really sets him apart is a bet whose payoff was far from obvious at the time: his long-term commitment to CUDA!! CUDA is a platform and programming toolkit that makes it easier for developers to use GPUs for parallel computing.
-Jensen saw early on that GPUs couldn’t just be for gaming. They needed to be programmable. But that meant years of investment in chips, compilers, math libraries, and developer tools. NVIDIA stayed the course, even through a period when the company nearly went under.
-In 2012, NVIDIA GPUs helped deliver a breakthrough in an image recognition competition. More people began to see the potential of GPU-accelerated deep learning. Later, the crypto mining boom turned graphics cards into a hot commodity.
-Then came the generative AI explosion. That’s when people realized NVIDIA’s chips, tools, software libraries, and years of code and know-how accumulated by developers had already come together into a complete ecosystem.
Almost overnight, NVIDIA became indispensable to the world. Without Jensen’s early groundwork, NVIDIA wouldn’t be what it is today—and AI wouldn’t have advanced this quickly #WhoWillSucceedJensenHuangatNvidia?
