May 23 (Reuters) - For chip designer Nvidia ( NVDA ),
the generative artificial intelligence boom is the gift that
keeps on giving.
After riding a demand surge sparked by Big Tech's rush to
roll out chatbots, Nvidia ( NVDA ) now expects new AI models that are
capable of creating video and engaging in human-like voice
interactions to spur more orders for its graphics processors.
"There's a lot of information in life that has to be
grounded by video, grounded by physics. So that's the next big
thing," Nvidia ( NVDA ) CEO Jensen Huang told Reuters on Wednesday.
"You've got 3D video and you've got a whole bunch of stuff
you're learning from. So those systems are going to be quite
large."
The need for more computing power to train and run advanced
AI systems has buoyed demand for Nvidia's ( NVDA ) Grace Hopper chips
such as the H200, which was first used in OpenAI's GPT-4o - a
multimodal model capable of realistic voice conversation with
the ability to interact across text and image.
Nvidia's ( NVDA ) other customers, including Google DeepMind
and Meta Platforms ( META ), have also released AI
image or video generation platforms.
The chipmaker on Wednesday forecast quarterly revenue far
above estimates, after clocking more than five-fold growth in
sales at its data center unit in the first quarter.
"The demand is broad based and the large language models
need to be increasingly multimodal, understanding not just video
but also text, speech, 2D and 3D images," said Derren Nathan,
the head of equity analysis at Hargreaves Lansdown.
AI models for video used in the automotive industry are also
emerging as a big driver of demand for Nvidia ( NVDA ) chips.
Tesla has expanded its cluster of processors used
in AI training to about 35,000 H100s as it chases autonomous
driving, Nvidia's ( NVDA ) finance chief Colette Kress said on a
post-earnings call on Wednesday.
Kress added that the automotive industry was expected to be
the largest enterprise vertical in Nvidia's ( NVDA ) data center business
this year.
"It (video generation) is certainly one of the strong and
already proven use cases for AI and it is extending beyond just
content production," Hargreaves Lansdown's Nathan said.
(Reporting by Arsheeya Bajwa in Bengaluru and Stephen Nellis in
San Francisco; Writing by Aditya Soni; Editing by Anil D'Silva)