The Semiconductor Risk And Cost Of Deploying LLMs
DALL·E Large Language Models (LLMs) are rapidly reshaping industries, and semiconductors are no exception. From generating RTL code and optimizing verification scripts to guiding recipe tuning in fabs, these models promise efficiency and scale. Yet the adoption of LLMs comes with risks and costs that semiconductor leaders cannot ignore. The challenge lies not only in financial and energy investment but also in the trustworthiness, security, and long-term viability of integrating LLMs into sensitive design and manufacturing workflows. Let us explore in more detail. Energy And Infrastructure Burden The deployment of large language models (LLMs) in semiconductor design and manufacturing carries a hidden but formidable cost: energy. Unlike software tools of the past, modern AI requires enormous computational resources not just for training but also for inference, verification, […]
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