© Reuters. FILE PHOTO: The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. REUTERS/Robert Galbraith
(Reuters) – Nvidia (NASDAQ:) Corp closed in on a trillion-dollar market value on Thursday as shares surged 25% following a bumper earnings report that forced Wall Street to reassess the potential windfall for the chipmaker from an artificial intelligence boom.
Here’s an explainer on Nvidia and its role in AI boom.
HOW BIG IS NVIDIA IN TERMS OF MARKET VALUE?
The semiconductor company’s shares have risen more than 160% this year, adding $586 billion in market value, and making it the fifth most valuable U.S. company behind Apple (NASDAQ:), Microsoft, Alphabet (NASDAQ:) and Amazon.
FROM GAMING TO AI: NVIDIA’S FOCUS SHIFT
Nvidia, known for its chips used in videogames, pivoted to the data center market over the last few years.
The company’s business rapidly expanded during the pandemic when gaming took off, cloud adoption surged and crypto enthusiasts turned to its chips for mining coins.
Data center chip business accounted for more than 50% of the company’s revenue in the financial year ended Jan. 29.
WHY IS GENERATIVE AI A HOT TOPIC?
The viral chatbot, ChatGPT, has made generative AI a buzzword this year. The technology uses vast troves of pre-existing data to create new content ranging from poems to images and even computer code.
Microsoft Corp (NASDAQ:) and Alphabet Inc-owned Google, two of the biggest players in the space, believe that generative AI can change how work is done. The two have raced to add the technology to their search engines and productivity software as they seek to dominate the industry.
Goldman Sachs (NYSE:) analysts estimate that U.S. investment in AI could approach 1% of the country’s economic output by 2030.
WHAT IS NVIDIA’S ROLE IN THE AI BOOM?
The large computers that process data and power generative AI run on powerful chips called graphics processing units (GPUs).
Nvidia produces about 80% of GPUs, according to analysts.
GPUs are designed to handle the specific kind of math involved in AI computing very efficiently. By contrast, generic central processing units from companies like Intel (NASDAQ:) handle a broader range of computing tasks with less efficiency.
OpenAI’s ChatGPT, for example, was created with thousands of Nvidia GPUs. Tesla (NASDAQ:) CEO Elon Musk has also secured GPUs from Nvidia for his AI startup, the Financial Times reported in April….
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