NVIDIA's Jensen Huang predicts a future where “everyone has an AI assistant”

Machine Learning


Jensen Huang, founder and CEO of NVIDIA, predicts a future where “everyone has AI.” [Artificial Intelligence] He hopes that this “AI assistant” will be enhanced by the company's expansion of its computing acceleration products.

“Accelerated computing can help us save huge amounts of energy — 20 times, 50 times more — to do the same work,” Huang argued during a discussion at the SIGGRAPH conference this week, seemingly somewhat defending recent reports of the increasing energy demands that come with the adoption of machine learning and artificial intelligence (ML and AI). “The first thing we have to do as a society is accelerate all of the applications we can, which will reduce the amount of energy consumed around the world.”

NVIDIA founder Jensen Huang said one day “everyone will have an AI assistant” amid growing concerns about the increased power demands that accompany the adoption of ML and AI. (📹: NVIDIA)

But Huang's vision goes beyond using his company's products to accelerate existing workloads and power entirely new ones, such as graphics processors — a market the company entered with NV1 in 1995 — and highly parallel processors for ML and AI. First up on the agenda is artificially intelligent assistants.

“Everyone will have an AI assistant,” Huang told event attendees, sharing his vision for the future. “Every company, every job will have an AI assistant. One of the things we're announcing here this week is the concept of digital agents – digital AI powering every job within a company. And one of the most important use cases that people are discovering is customer service. I think in the future, it will still be human-driven, but I think it will involve AI.”

Huang's comments came as the company is launching a series of new services, including a partnership with Hugging Face to offer inference as a service on NVIDIA's DGX Cloud platform, generative AI services with Shutterstock and Getty Images, and a set of NIM microservices covering everything from 3D modeling and physics to robotics and physical AI instantiation.

You can watch the full discussion in the video embedded above.



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