NVIDIA's Jensen Huang Predicts a Future Where "Everybody Will Have an AI Assistant"
Powered, he hopes, by NVIDIA's range of compute acceleration devices and cloud services.
NVIDIA founder and chief executive officer Jensen Huang predicts a future in which "everybody will have an AI [Artificial Intelligence] assistant" — that he hopes, will be powered by the company's growing range of compute acceleration products.
"Accelerated computing helps you save so much energy, 20 times, 50 times, and doing the same processing," Huang claimed during a discussion at the SIGGRAPH conference this week, seeming somewhat defensive about recent reports into the growing energy demands of machine learning and artificial intelligence (ML and AI) deployments. "The first thing we have to do, as a society, is accelerate every application we can: this reduces the amount of energy being used all over the world."
Huang's vision, though, extends beyond using his company's products — which include graphics processors, a market it entered in 1995 with the NV1, and highly-parallel processors for ML and AI — to accelerate existing workloads and into using them to power wholly new ones. First on the agenda: artificially intelligent assistants.
"Everybody will have an AI assistant," Huang told attendees at the event of his vision for the future. "Every single company, every single job within the company, will have AI assistance. One of the things that we’re announcing here this week is the concept of digital agents, digital AIs that will augment every single job in the company. And so one of the most important use cases that people are discovering is customer service. In the future, my guess is that it’s going to be human still, but AI in the loop."
Huang's pronouncement comes as his company launches a range of new services including a partnership with Hugging Face to offer inference-as-a-service on NVIDIA's DGX Cloud platform, generative AI offerings from Shutterstock and Getty Images, and a range of NIM microservices targeting everything from 3D modeling and physics to robotics and physical AI instantiation.
The full discussion is available in the video embedded above.