Huang predicted a shift to smaller, energy-efficient liquid-cooled datacenters in the next decade, enhancing the efficiency of AI cloud computing.
Huang emphasized that cloud providers can generate significant returns, making $5 for every $1 spent on GPUs, evidencing the high demand for AI infrastructure.
Huang explained that while converting traditional data processing to accelerated computing may double costs, the tasks are completed 20 times faster, yielding overall savings.
Huang discussed how Nvidia is adept at creating new markets, indicating further growth potential as demand for AI infrastructure continues to escalate.
[
Collection
]
[
|
...
]