Computerspeak by Alexandru Voica • 0 implied HN points • 16 Feb 24
- Large models like OpenAI's GPT series are reshaping the AI landscape by requiring vast computational resources and driving a buying frenzy among tech companies for AI chips.
- Designing AI chips involves significant costs spanning from R&D to testing, and challenges exist in producing low-volume chips due to economies of scale, NRE costs, and supply chain constraints.
- Advancements in semiconductor technology, including innovations like chiplets and AI-assisted design, offer potential ways to reduce costs and scale AI hardware production to meet the growing demand.