Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Nvidia CEO Jensen Huang explains to Yahoo Finance that supply is unable to meet demand

Reading Time: < 1 minute

Nvidia CEO Jensen Huang is facing a high demand for the company’s AI chips, but the real challenge lies in the limited supply. In an exclusive interview with Yahoo Finance, Huang emphasized the strong demand for Nvidia’s current Hopper AI platform, despite the upcoming transition to the more advanced Blackwell system.

Analysts had raised concerns about a potential lull in demand as customers awaited the release of the Blackwell units later this year. However, Huang revealed that Hopper demand continued to grow throughout the quarter, highlighting the overwhelming demand for Nvidia’s products.

The complexity of these chips poses a challenge for Nvidia in keeping up with the demand, with Huang acknowledging that every component of their data center is the most complex computer ever made.

Despite these challenges, Nvidia reported impressive first-quarter results, surpassing Wall Street forecasts with adjusted earnings per share of $6.12 on revenue of $26 billion. The company also announced a 10-to-1 stock split and a boost in quarterly dividend, leading to a 6% rise in Nvidia’s stock in extended trading.

Huang also discussed Nvidia’s position in AI inference, emphasizing the company’s strength in providing powerful solutions for inference tasks. He highlighted the growing sales to customers beyond major cloud service providers, with companies like Meta, Tesla, and pharmaceutical firms increasingly investing in Nvidia chips.

Overall, Nvidia’s strong performance and optimistic outlook for the future indicate a promising trajectory for the company in the rapidly evolving AI industry.

Taylor Swifts New Album Release Health issues from using ACs Boston Marathon 2024 15 Practical Ways To Save Money