Nvidia Chief Says Everyone Can Be A Programmer With AI

After announcing its stellar performance, Nvidia Chief Jensen Huang appears to be an AI convert by taking machine coding further — allowing AI to do the job in the name of evolving with times.

CNBC quoted Nvidia CEO Huang that everyone can be a programmer soon enough given the world is entering a new computing era. He said anyone can be a programmer, just by speaking to the computer, and the desired functions will come forth.

No longer will programmers need to write lines of code, only for it to display the dreaded “fail to compile” because of a missing semicolon. How will this be done? By generative artificial intelligence, Huang said during his keynote speech at the Computex forum in Taiwan on 29 May 2023.

At his first public keynote since the pandemic, Huang introduced a new AI supercomputer platform called DGX GH200, aimed at building generative AI models. Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data.

The new class of large-memory AI supercomputer — an NVIDIA DGX™ supercomputer powered by NVIDIA® GH200 Grace Hopper Superchips and the NVIDIA NVLink® Switch System — created to enable the development of giant, next-generation models for generative AI language applications, recommender systems and data analytics workloads.

The NVIDIA DGX GH200’s massive shared memory space uses NVLink interconnect technology with the NVLink Switch System to combine 256 GH200 superchips, allowing them to perform as a single GPU. This provides 1 exaflop of performance and 144 terabytes of shared memory — nearly 500x more memory than the previous generation NVIDIA DGX A100, which was introduced in 2020.

“Generative AI, large language models and recommender systems are the digital engines of the modern economy,” said Jensen Huang, founder and CEO of NVIDIA. “DGX GH200 AI supercomputers integrate NVIDIA’s most advanced accelerated computing and networking technologies to expand the frontier of AI.”

“This computer doesn’t care how you program it, it will try to understand what you mean, because it has this incredible large language model capability. And so the programming barrier is incredibly low. We have closed the digital divide. Everyone is a programmer. Now, you just have to say something to the computer.” Huang pointed out.

Nvidia says that generative AI is the “most important computing platform of our generation” as individuals and companies move to create new apps and leverage on generative AI in the process. Creative professionals will be able to create images with a simple text prompt, while programmers can accelerate application development and debugging efforts, the company said. Even architects can generate 3D models from 2D floor plans.

“Every single computing era, you could do different things that weren’t possible before,” Huang said, adding that “artificial intelligence certainly qualifies.” He explained that this computing era is “special in several ways”. The CEO said generative AI is able to understand information other than just text and numbers. It “can now understand multimodality, which is the reason why this computing revolution can impact every industry,” he added.

Unlike traditional models of computer application development, which require new applications and new hardware to accommodate advances like A.I., Huang said generative A.I. will not only be able to impact new applications, but enhance old ones. 

“Every application that exists will be better because of A.I. It can succeed with old applications. And it’s going to have new applications. The rate of progress, because it’s so easy to use, is the reason why it’s growing so fast.”

While writings were on the wall that AI is a massive disruption, Nvidia has appeared to have taken a good leaf out of their competitor. While it would possibly to be rude to claim an unintended blaze lit the way for another, such is apt for Nvidia after the infamous Korean chip maker’s blunder for relying too much on AI that data security was compromised.

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