{"id":12604,"date":"2023-12-15T07:00:00","date_gmt":"2023-12-15T15:00:00","guid":{"rendered":"https:\/\/formtek.com\/blog\/?p=12604"},"modified":"2023-10-02T16:58:47","modified_gmt":"2023-10-03T00:58:47","slug":"huangs-law-a-new-chapter-in-computing","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/huangs-law-a-new-chapter-in-computing\/","title":{"rendered":"Huang\u2019s Law: A New Chapter in Computing"},"content":{"rendered":"\n

In the realm of computing, Moore\u2019s Law has long been the guiding principle, predicting a doubling of transistors on a chip approximately every two years.\u00a0However, as we venture further into the era of artificial intelligence (AI), a new principle has emerged: Huang\u2019s Law<\/a>.<\/p>\n\n\n\n

Coined by Jensen Huang, CEO of NVIDIA, Huang\u2019s Law forecasts<\/a> that the performance of graphics processing units (GPUs), particularly in AI applications, will more than double every two years.\u00a0This law attributes the increased performance to advancements in AI software as much as to improvements in chip hardware.<\/p>\n\n\n\n

Unlike Moore\u2019s Law, which focuses on central processing units (CPUs), Huang\u2019s Law is specific to GPUs<\/a>.\u00a0GPUs are at the heart of AI and machine learning applications, making them a critical component in the next generation of computing.<\/p>\n\n\n\n

Over the past decade, NVIDIA\u2019s GPU AI-processing prowess has grown 1000-fold, a testament to the power of Huang\u2019s Law.\u00a0This law suggests that the speedups we have seen in \u201csingle chip inference performance\u201d will continue.<\/p>\n\n\n\n

While Moore\u2019s Law has been instrumental in guiding the progress of traditional computing, Huang\u2019s Law appears to be setting the pace for the future, particularly in the realm of AI. As we continue to push the boundaries of what\u2019s possible with technology, principles like Huang\u2019s Law will be crucial in charting our course.<\/p>\n

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In the realm of computing, Moore\u2019s Law has long been the guiding principle, predicting a doubling of transistors on a chip approximately every two years.\u00a0However, as we venture further into the era of artificial intelligence (AI), a new principle has…<\/span><\/p>\n

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