NVIDIA founder and CEO Jensen Huang said recently many companies are turning to NVIDIA technologies, now including a new comprehensive reference workforce, to digitalize factories and thereby promote efficiency, increase operational quality and safety, and reduce costs.
Tech titan NVIDIA, headquartered in Santa Clara, California, said in a press release that global electronics makers are pursuing the company's digitalization initiatives, including cutting-edge workflow, bundling of unique technologies like 3D collaboration, generative artificial intelligence (AI) as well as simulation and autonomous machines.
“The world’s largest industries make physical things. Building them digitally first can save enormous costs,” Huang said. “NVIDIA makes it easy for electronics makers to build and operate virtual factories, digitalize their manufacturing and inspection workflows, and greatly improve quality and safety while reducing costly last-minute surprises and delays.”
NVIDIA is empowering companies to enhance their industrial digitalization, according to the company's website. With the aid of NVIDIA's Metropolis ecosystem, firms can automate quality assurance and optical inspections, leading to operational efficiencies and cost reductions.
The company said its tools also facilitate digital transformations of assembly lines, allowing for the integration of robotics, simulation and automated production inspection, according to the release. Additionally, NVIDIA AI enables the utilization of AI robots for product quality control, while NVIDIA Omniverse assists in creating digital replicas of operational setups, further amplifying industrial automation capabilities.
A demonstration by NVIDIA showed Omniverse paired with several AI assistants, including ChatGPT and Blender GPT, to streamline 3D workflows and Python creation, the press release said. NVIDIA's Omniverse Cloud provides enterprise clients the ability to leverage the comprehensive range of Omniverse software applications and NVIDIA's OVX infrastructure. This offering is coupled with the scalability and security features of Azure cloud services.
Huang started the company in 1993 and has received numerous awards and recognitions, his bio said. He previously worked at LSI Logic and Advanced Micro Devices, and holds degrees from Oregon State and Stanford universities.