Jensen Huang, founder and CEO of Nvidia, delivered a keynote address at the ITF World 2023 semiconductor conference, highlighting the profound impact of accelerated computing and artificial intelligence (AI) in the chip manufacturing industry. Huang emphasized the potential of Nvidia’s accelerated computing and AI solutions in the sector, stressing the need for a new approach to meet the rising demand for computing power while addressing concerns regarding net-zero goals. Huang cited several examples of how Nvidia GPUs are increasingly crucial in chip manufacturing, with companies like D2S, IMS Nanofabrication and NuFlare using Nvidia GPUs to accelerate pattern rendering and mask process correction in the creation of photomasks. Meanwhile, semiconductor manufacturers KLA, Applied Materials and Hitachi High-Tech are incorporating Nvidia GPUs into their e-beam and optical wafer inspection and review systems.
Nvidia’s future plans
Looking to the future, Huang referred to the next wave of AI as “embodied AI” — intelligent systems capable of understanding, reasoning and interacting with the physical world. He cited robotics, autonomous vehicles, and chatbots with heightened physical world comprehension as examples of this technology. Huang also revealed Nvidia’s Earth-2 project, designed to develop a digital replica of the planet. Earth-2 will forecast weather patterns, provide long-range climate predictions and ultimately contribute to the search for affordable and environmentally friendly energy solutions. This endeavor employs FourCastNet, a physics-AI model that rapidly simulates global weather patterns. These systems hold great potential for addressing pressing issues of our era, including the demand for sustainable energy solutions. Huang stressed the far-reaching influence of AI and accelerated computing, extending beyond chip manufacturing to permeate the entire technology industry. He acknowledged that the concurrent shifts in accelerated computing and generative AI are shaping the future of the technological landscape.
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