A Conversation with the Jensen Huang of Nvidia: Who Will Shape the Future of AI? (Full Interview)
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DUBAI, 12th February, 2024 -- In this session, Jensen Huang, the visionary President of NVIDIA, joins forces with Omar Al Olama, the UAE’s Minister of AI, to discuss the harmonious co-existence of the present with the future through cutting-edge technology. This dialogue aims to provide insights into the achievements of technological milestones that bridge the gap between current capabilities and futuristic visions, creating a world where technology is an enabler for all, bridging the digital divide, and paving the way for an inclusive future.
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Nvidia CEO Says Tech Advances Will Keep AI Cost in Check
→ Jensen Huang downplays reported $7 trillion fundraising for AI
→ He sees AI data centers doubling in scale over five years
Nvidia Corp. Chief Executive Officer Jensen Huang anticipates advances in computing over the next few years will keep the cost of developing artificial intelligence well below the $7 trillion that Sam Altman is said to be fundraising.
“You can’t assume just that you will buy more computers. You have to also assume that the computers are going to become faster and therefore the total amount that you need is not as much,” Huang told the World Government Summit in Dubai on Monday. The 60-year-old’s company makes the most sought-after AI accelerators and he’s confident the chip industry will drive down the cost of AI, as those parts are made “faster and faster and faster.”
Huang was responding to a report in the Wall Street Journal that OpenAI CEO Sam Altman is seeking to raise $7 trillion from investors in the Middle East, including the United Arab Emirates, for a semiconductor initiative to power AI projects that would rival Nvidia.
Because of its uncontested leadership in AI-training chips, Nvidia’s market value has ballooned to more than $1.7 trillion and increased Huang’s personal wealth several times over. Altman and other AI developers are seeking ways to diversify their hardware options, including by exploring chipmaking ventures of their own.
The world’s leading contract chipmakers, Taiwan Semiconductor Manufacturing Co. and Samsung Electronics Co., commit in excess of $30 billion in capital expenditures each year to stay ahead of potential rivals. For Altman to have a realistic chance of making a dent in their lead, he would need to spend lavishly on research, development, facilities and expert personnel, but Huang’s view would suggest that better, more cost-efficient chips will make that unnecessary.
Still, the Nvidia CEO doesn’t see an end to the increase in AI spending anytime soon. In his remarks, Huang estimated that the global cost of data centers powering AI will double in the next five years.
“We’re at the beginning of this new era. There’s about a trillion dollars’ worth of installed base of data centers. Over the course of the next four or five years, we’ll have $2 trillion worth of data centers that will be powering software around the world,” he said. [Bloomberg]
→ “We are at the beginning of a new industrial revolution with the emergence of artificial intelligence, similar to the industrial revolutions that took place with the production of energy from steam and electricity and the emergence of computers, as well as the Internet revolution.”
→ “One of the best contributions we have made is the development of computers and artificial intelligence a million-fold in the past ten years, and therefore we have to take into account that it will be faster and more efficient.”
→ “the current development calls for (democratisation of technology); there are researchers from various universities working in this direction, and therefore we must harness the experience of researchers to accelerate the level of innovation, which will make the cost of buying and selling much lower.”
→ “It is not an energy or food revolution, but rather the production of intelligence, and therefore every country must own the production of its own intelligence, and here comes the idea of ‘sovereign artificial intelligence’, so that the country possesses data to document its history and future.”
→ “My advice to countries is the necessity of owning their national intelligence and not to allow someone else to do it,”
→ “The first thing that every country should do is build infrastructure and not work on a specific application; If you want to develop energy, you must build generators, if you want food, you must build farms, and if you want artificial intelligence, you must build infrastructure. It is not expensive, but there are companies that want to scare everyone, while in reality they are computers that you can buy, and every country is capable of doing that."
→ “Artificial intelligence is key to supporting many sciences and fields, and if we build an infrastructure, we can then strengthen innovative personalities and experts to support the artificial intelligence system.”
→ “We want to democratise this technology to achieve safety and compatibility.”
--------
Nvidia CEO Says Tech Advances Will Keep AI Cost in Check
→ Jensen Huang downplays reported $7 trillion fundraising for AI
→ He sees AI data centers doubling in scale over five years
Nvidia Corp. Chief Executive Officer Jensen Huang anticipates advances in computing over the next few years will keep the cost of developing artificial intelligence well below the $7 trillion that Sam Altman is said to be fundraising.
“You can’t assume just that you will buy more computers. You have to also assume that the computers are going to become faster and therefore the total amount that you need is not as much,” Huang told the World Government Summit in Dubai on Monday. The 60-year-old’s company makes the most sought-after AI accelerators and he’s confident the chip industry will drive down the cost of AI, as those parts are made “faster and faster and faster.”
Huang was responding to a report in the Wall Street Journal that OpenAI CEO Sam Altman is seeking to raise $7 trillion from investors in the Middle East, including the United Arab Emirates, for a semiconductor initiative to power AI projects that would rival Nvidia.
Because of its uncontested leadership in AI-training chips, Nvidia’s market value has ballooned to more than $1.7 trillion and increased Huang’s personal wealth several times over. Altman and other AI developers are seeking ways to diversify their hardware options, including by exploring chipmaking ventures of their own.
The world’s leading contract chipmakers, Taiwan Semiconductor Manufacturing Co. and Samsung Electronics Co., commit in excess of $30 billion in capital expenditures each year to stay ahead of potential rivals. For Altman to have a realistic chance of making a dent in their lead, he would need to spend lavishly on research, development, facilities and expert personnel, but Huang’s view would suggest that better, more cost-efficient chips will make that unnecessary.
Still, the Nvidia CEO doesn’t see an end to the increase in AI spending anytime soon. In his remarks, Huang estimated that the global cost of data centers powering AI will double in the next five years.
“We’re at the beginning of this new era. There’s about a trillion dollars’ worth of installed base of data centers. Over the course of the next four or five years, we’ll have $2 trillion worth of data centers that will be powering software around the world,” he said. [Bloomberg]
→ “We are at the beginning of a new industrial revolution with the emergence of artificial intelligence, similar to the industrial revolutions that took place with the production of energy from steam and electricity and the emergence of computers, as well as the Internet revolution.”
→ “One of the best contributions we have made is the development of computers and artificial intelligence a million-fold in the past ten years, and therefore we have to take into account that it will be faster and more efficient.”
→ “the current development calls for (democratisation of technology); there are researchers from various universities working in this direction, and therefore we must harness the experience of researchers to accelerate the level of innovation, which will make the cost of buying and selling much lower.”
→ “It is not an energy or food revolution, but rather the production of intelligence, and therefore every country must own the production of its own intelligence, and here comes the idea of ‘sovereign artificial intelligence’, so that the country possesses data to document its history and future.”
→ “My advice to countries is the necessity of owning their national intelligence and not to allow someone else to do it,”
→ “The first thing that every country should do is build infrastructure and not work on a specific application; If you want to develop energy, you must build generators, if you want food, you must build farms, and if you want artificial intelligence, you must build infrastructure. It is not expensive, but there are companies that want to scare everyone, while in reality they are computers that you can buy, and every country is capable of doing that."
→ “Artificial intelligence is key to supporting many sciences and fields, and if we build an infrastructure, we can then strengthen innovative personalities and experts to support the artificial intelligence system.”
→ “We want to democratise this technology to achieve safety and compatibility.”
