Each job requires specialized methods, software programs and computer languages. Some groups define the chip’s overall architecture, some craft and place a variety of ultra-small circuits, and others test their work. Multiple engineering teams coordinate for as long as two years to construct one of these digital megacities. Under a microscope, a state-of-the-art chip like an NVIDIA H100 Tensor Core GPU (above) looks like a well-planned metropolis, built with tens of billions of transistors, connected on streets 10,000x thinner than a human hair. The work demonstrates how companies in highly specialized fields can train large language models ( LLMs) on their internal data to build assistants that increase productivity.įew pursuits are as challenging as semiconductor design. A research paper released today describes ways generative AI can assist one of the most complex engineering efforts: designing semiconductors.
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