CUDA
40,190 views
2 Posts
Hot
Latest
Important statement from NVIDIA CEO before COMPUTEX 2024!
NVIDIA CEO Jensen Huang addressed industry leaders, press members, entrepreneurs and technology enthusiasts ahead of #COMPUTEX2024 .
Huang said that Taiwan is the home of NVIDIA's most valuable partners and everything #NVIDIA does starts from here. He stated that they created the world's artificial intelligence infrastructure together with their partners in Taiwan. He touched on three main topics in his speech: What generative artificial intelligence is and its impact, the roadmap for the future, and what's next.
Huang noted that the computer industry is about 60 years old and has experienced only a few major technological changes in that time. Today, we are on the verge of such a change. He said the performance growth of central processing units (CPUs) is slowing down, but our processing needs are increasing exponentially. This leads to computing inflation.
The solution lies in accelerated computing, which they have been working on for 20 years. NVIDIA's #CUDA platform supports CPUs, accelerating workloads where dedicated processors can perform much better. Huang predicted that every application and data center will be accelerated in the future.
Accelerated computing is a solution that is both logical and sustainable. Huang showed that 25 times more performance/Watt ratio can be achieved with only a 3-fold increase in power consumption and a 50% increase in costs, while providing 100-fold acceleration.
Accelerated computing is no easy task. Software needs to be completely rewritten and algorithms restructured. #NVIDIA has been developing domain-oriented libraries for 20 years to meet this challenge.
These include the deep learning library cuDNN, the artificial intelligence physics library, the 5G radio library Ariel, the chip manufacturing library cuLitho, the gene sequencing library Parabricks, the combinatorial optimization library cuOpt, and cuQuantum for quantum computer simulation.
$BTC $ETH $BNB
NVIDIA CEO Jensen Huang addressed industry leaders, press members, entrepreneurs and technology enthusiasts ahead of #COMPUTEX2024 .
Huang said that Taiwan is the home of NVIDIA's most valuable partners and everything #NVIDIA does starts from here. He stated that they created the world's artificial intelligence infrastructure together with their partners in Taiwan. He touched on three main topics in his speech: What generative artificial intelligence is and its impact, the roadmap for the future, and what's next.
Huang noted that the computer industry is about 60 years old and has experienced only a few major technological changes in that time. Today, we are on the verge of such a change. He said the performance growth of central processing units (CPUs) is slowing down, but our processing needs are increasing exponentially. This leads to computing inflation.
The solution lies in accelerated computing, which they have been working on for 20 years. NVIDIA's #CUDA platform supports CPUs, accelerating workloads where dedicated processors can perform much better. Huang predicted that every application and data center will be accelerated in the future.
Accelerated computing is a solution that is both logical and sustainable. Huang showed that 25 times more performance/Watt ratio can be achieved with only a 3-fold increase in power consumption and a 50% increase in costs, while providing 100-fold acceleration.
Accelerated computing is no easy task. Software needs to be completely rewritten and algorithms restructured. #NVIDIA has been developing domain-oriented libraries for 20 years to meet this challenge.
These include the deep learning library cuDNN, the artificial intelligence physics library, the 5G radio library Ariel, the chip manufacturing library cuLitho, the gene sequencing library Parabricks, the combinatorial optimization library cuOpt, and cuQuantum for quantum computer simulation.
$BTC $ETH $BNB
Nvidia's Story From Small Restaurant to Trillion Dollar Company.
NVIDIA, a name that has become increasingly prominent in the tech world in recent years, actually has a long and fascinating history. Today, the company is known for its leadership in the field of artificial intelligence, but it has an impressive story that began modestly and reached the pinnacle of success. Let's take a closer look at NVIDIA's journey.
A Vision Born in a Restaurant, Not a Garage
Unlike the classic "garage-founded" stories of Silicon Valley, the foundation of NVIDIA was laid in a Denny's restaurant in 1993. Three young electrical engineers â Jen-Hsun Huang, Curtis Priem, and Chris Malachowsky â came together with the idea of developing specialized chips that would produce more realistic and faster video graphics.
Interestingly, the company initially had no name. The founders referred to their project as "NV" (Next Version). Later, they combined it with the Latin word "invidia," meaning "envy," to form the name NVIDIA.
Challenging Early Years
Like every success story, NVIDIA's path was filled with obstacles. The first graphics processor they launched in 1995, the NV1, was developed with high hopes but failed to gain the expected attention. This failure nearly brought the company to the brink of bankruptcy and led to the layoff of half of its employees.
However, the NVIDIA team didn't give up. After a second failed attempt, they released the RIVA 128 graphics processor chip in 1997, which changed the company's fortunes. This chip, which was much faster than its competitors, helped NVIDIA stay afloat and laid the foundation for future successes.
GPU Revolution and Rise in the Gaming World
NVIDIA's real breakthrough came in 1999 when they introduced the concept of the GPU (Graphics Processing Unit) with their GeForce series of graphics cards. This innovation revolutionized computer graphics and made NVIDIA one of the leading names in the industry.
In the early 2000s, NVIDIA further strengthened its position in the gaming industry by securing chip production agreements for Microsoft's Xbox and later Sony's PlayStation 3 consoles. The rapidly growing video game market during this period also fueled NVIDIA's parallel growth.
Beginning of the CUDA and AI Journey
In 2006, NVIDIA launched a programming toolkit called CUDA. This innovation allowed GPUs to be used not just for graphics processing but also for general-purpose computing tasks. CUDA enabled researchers to perform complex computations much faster and at a lower cost.
This development unexpectedly led to revolutionary advances in the field of artificial intelligence. In 2010, NVIDIA developed a machine learning model using GPUs that could identify cats in YouTube videos. This was a significant step in demonstrating the potential of GPUs for AI.
NVIDIA in the Age of Artificial Intelligence
As the 2010s progressed, NVIDIA increasingly focused on AI. The company forged important partnerships across various sectors, from the automotive industry to major tech companies.
Today, NVIDIA's GPUs have become an indispensable part of machine learning, deep learning, and AI applications. So much so that the core technology behind revolutionary AI models like ChatGPT is powered by NVIDIA chips.
NVIDIA Today
Today, NVIDIA is the undisputed leader in the AI chip market. The company's products are used in everything from data centers to autonomous vehicles, from facial recognition systems to natural language processing technologies.
NVIDIA's success was cemented when the company's market value surpassed $3 trillion in 2024, a first in the chip industry. This milestone made NVIDIA one of the most valuable companies in the world, surpassing giants like Google and Amazon.
If We Summarize
NVIDIA's story is an inspiring example of how a visionary idea can transform into a global tech giant. The company started with graphic processing chips and has now taken the lead in the AI revolution. We eagerly await to see what innovations NVIDIA will bring in the future.
This extraordinary success story once again highlights the importance of being at the right place at the right time in the tech world, not giving up despite challenges, and continuously pursuing innovation. NVIDIA has become not just a company but a key force in shaping modern technology.
#NVIDIA #TechHistory #SiliconValley #TechGiants #CUDA
A Vision Born in a Restaurant, Not a Garage
Unlike the classic "garage-founded" stories of Silicon Valley, the foundation of NVIDIA was laid in a Denny's restaurant in 1993. Three young electrical engineers â Jen-Hsun Huang, Curtis Priem, and Chris Malachowsky â came together with the idea of developing specialized chips that would produce more realistic and faster video graphics.
Interestingly, the company initially had no name. The founders referred to their project as "NV" (Next Version). Later, they combined it with the Latin word "invidia," meaning "envy," to form the name NVIDIA.
Challenging Early Years
Like every success story, NVIDIA's path was filled with obstacles. The first graphics processor they launched in 1995, the NV1, was developed with high hopes but failed to gain the expected attention. This failure nearly brought the company to the brink of bankruptcy and led to the layoff of half of its employees.
However, the NVIDIA team didn't give up. After a second failed attempt, they released the RIVA 128 graphics processor chip in 1997, which changed the company's fortunes. This chip, which was much faster than its competitors, helped NVIDIA stay afloat and laid the foundation for future successes.
GPU Revolution and Rise in the Gaming World
NVIDIA's real breakthrough came in 1999 when they introduced the concept of the GPU (Graphics Processing Unit) with their GeForce series of graphics cards. This innovation revolutionized computer graphics and made NVIDIA one of the leading names in the industry.
In the early 2000s, NVIDIA further strengthened its position in the gaming industry by securing chip production agreements for Microsoft's Xbox and later Sony's PlayStation 3 consoles. The rapidly growing video game market during this period also fueled NVIDIA's parallel growth.
Beginning of the CUDA and AI Journey
In 2006, NVIDIA launched a programming toolkit called CUDA. This innovation allowed GPUs to be used not just for graphics processing but also for general-purpose computing tasks. CUDA enabled researchers to perform complex computations much faster and at a lower cost.
This development unexpectedly led to revolutionary advances in the field of artificial intelligence. In 2010, NVIDIA developed a machine learning model using GPUs that could identify cats in YouTube videos. This was a significant step in demonstrating the potential of GPUs for AI.
NVIDIA in the Age of Artificial Intelligence
As the 2010s progressed, NVIDIA increasingly focused on AI. The company forged important partnerships across various sectors, from the automotive industry to major tech companies.
Today, NVIDIA's GPUs have become an indispensable part of machine learning, deep learning, and AI applications. So much so that the core technology behind revolutionary AI models like ChatGPT is powered by NVIDIA chips.
NVIDIA Today
Today, NVIDIA is the undisputed leader in the AI chip market. The company's products are used in everything from data centers to autonomous vehicles, from facial recognition systems to natural language processing technologies.
NVIDIA's success was cemented when the company's market value surpassed $3 trillion in 2024, a first in the chip industry. This milestone made NVIDIA one of the most valuable companies in the world, surpassing giants like Google and Amazon.
If We Summarize
NVIDIA's story is an inspiring example of how a visionary idea can transform into a global tech giant. The company started with graphic processing chips and has now taken the lead in the AI revolution. We eagerly await to see what innovations NVIDIA will bring in the future.
This extraordinary success story once again highlights the importance of being at the right place at the right time in the tech world, not giving up despite challenges, and continuously pursuing innovation. NVIDIA has become not just a company but a key force in shaping modern technology.
#NVIDIA #TechHistory #SiliconValley #TechGiants #CUDA
