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9.11.2024 1:05 AM
Did you know that NVIDIA has positioned itself as the third-largest company in the world thanks to the rise of artificial intelligence (AI)? Recently, it surpassed a market capitalization of $2 trillion. Despite a slight drop in share value during the second week of March, NVIDIA has recorded an 80% increase in its stock value since the beginning of 2024. This achievement places NVIDIA alongside tech giants like Apple and Microsoft, highlighting its leadership in the AI industry.
Are you interested in knowing how NVIDIA became a leader in artificial intelligence? In this Hapi article, we’ll explain NVIDIA’s growth in the world of artificial intelligence and what to expect from this company in the future.
NVIDIA's story began in 1993, when 3D graphics in the multimedia market were virtually non-existent. The company has gone from producing graphics and gaming chips to dominating the chip market used in AI systems. The company, led by Jensen Huang, has demonstrated a continuous commitment to technological innovation.
In 2006, NVIDIA made a technological bet by discovering that its Graphics Processing Units (GPUs) could accelerate mathematical operations. Huang later focused the company on something entirely different: CUDA, a platform that enabled general-purpose computing on GPUs. Now, that vision is paying off, as NVIDIA's A100 Tensor Core GPUs are quickly becoming the coveted training engines for ChatGPT and other generative artificial intelligence models.
This innovation and strategic vision set NVIDIA on the path to AI power, driving the development of AI-specialized chips. Its focus on AI includes tasks such as image, facial, and voice recognition, as well as generating text for chatbots. "What Nvidia is to AI is almost like what Intel was to PCs," said Dan Hutcheson, a TechInsights analyst.
Currently, its GenAI GPU has become a cornerstone for deep learning applications and AI research advancements. The popularity of applications like ChatGPT has fueled interest in AI, positioning NVIDIA as a central player in this revolution. NVIDIA controls approximately 95% of the GPU market for machine learning, consolidating its leadership in artificial intelligence. Mustafa Suleyman, CEO of Inflection, mentioned that competitors do not offer a viable alternative to NVIDIA's products, stating that none come close to its quality.
NVIDIA has been a successful bet for investors, showing consistent growth in stock value over the years. It has gone from $4.47 on March 1, 2014, to $878.65 on March 1, 2024. The following chart shows the evolution of NVIDIA's stock price over the past 10 years.
So, what would have happened if you invested $1,000 in NVIDIA a few years ago?
Jensen Huang, co-founder and CEO of NVIDIA, was born in Taiwan, moved to Thailand as a child, and later emigrated to the United States due to civil unrest in Asia. From humble beginnings, he now leads a $2 trillion tech giant.
His vision and leadership have been key to NVIDIA's transformation into an AI powerhouse, propelling the company to new heights in the global market. He was the pioneer in making GPUs programmable, unlocking new possibilities in AI.
Huang embodies the innovative and disruptive spirit of NVIDIA, with a trajectory that spans from revolutionizing gaming to leading advances in AI.
Analysts expect NVIDIA to remain a key player in the tech industry, with an increasingly prominent presence in the global AI and specialized hardware market. The company has developed a strong community of AI programmers using its technologies, giving it a competitive advantage. "Customers may wait 18 months to buy a NVIDIA system instead of purchasing a readily available chip from a startup or competitor," said Daniel Newman, an analyst at the Futurum Group. "It's incredible."
Likewise, its focus on innovation, the development of next-generation chips, cost leadership, and the expansion of its international presence signal a promising future in the tech landscape.
Despite its current dominance, NVIDIA faces long-term challenges and competition from companies like AMD, Intel, Google, Amazon, and Microsoft in developing AI chips. Similarly, NVIDIA has faced criticism from some tech executives due to its position in AI chip distribution, raising concerns about potential bottlenecks and barriers to entry. Some examples include its strong intellectual property, high semiconductor manufacturing costs, and monopoly over critical manufacturing equipment.
Competition and continuous innovation in the AI chip market promise a dynamic and evolving future in this industry.
In summary, NVIDIA has achieved an impressive milestone by becoming a leader in artificial intelligence with a market capitalization of $2 trillion. Its evolution from producing graphics and gaming chips to dominating the AI chip market has been driven by the vision and leadership of Jensen Huang.
The future of NVIDIA in the tech and AI industry promises to continue setting the pace for innovation and competition, creating a dynamic and evolving landscape in this exciting field.
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