Nvidia says 20,000 GenAI startups are now building on its platform

by | May 23, 2024 | Technology

Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here.

In its Q1 2025 earnings call on Wednesday, Nvidia CEO Jensen Huang highlighted the explosive growth of generative AI (GenAI) startups using Nvidia’s accelerated computing platform.

“There’s a long line of generative AI startups, some 15,000, 20,000 startups in all different fields from multimedia to digital characters, design to application productivity, digital biology,” said Huang. “The moving of the AV industry to Nvidia so that they can train end-to-end models to expand the operating domain of self-driving cars—the list is just quite extraordinary.”

Huang emphasized that demand for Nvidia’s GPUs is “incredible” as companies race to bring AI applications to market using Nvidia’s CUDA software and Tensor Core architecture. Consumer internet companies, enterprises, cloud providers, automotive companies and healthcare organizations are all investing heavily in “AI factories” built on thousands of Nvidia GPUs.

The Nvidia CEO said the shift to generative AI is driving a “foundational, full-stack computing platform shift” as computing moves from information retrieval to generating intelligent outputs.

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Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here.

In its Q1 2025 earnings call on Wednesday, Nvidia CEO Jensen Huang highlighted the explosive growth of generative AI (GenAI) startups using Nvidia’s accelerated computing platform.

“There’s a long line of generative AI startups, some 15,000, 20,000 startups in all different fields from multimedia to digital characters, design to application productivity, digital biology,” said Huang. “The moving of the AV industry to Nvidia so that they can train end-to-end models to expand the operating domain of self-driving cars—the list is just quite extraordinary.”

Huang emphasized that demand for Nvidia’s GPUs is “incredible” as companies race to bring AI applications to market using Nvidia’s CUDA software and Tensor Core architecture. Consumer internet companies, enterprises, cloud providers, automotive companies and healthcare organizations are all investing heavily in “AI factories” built on thousands of Nvidia GPUs.

The Nvidia CEO said the shift to generative AI is driving a “foundational, full-stack computing platform shift” as computing moves from information retrieval to generating intelligent outputs.

VB Event
The AI Impact Tour: The AI Audit

Join us as we return to NYC on June 5th to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compl …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]

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