10/18/2024, 01:14 PM UTC
AI芯片定制时代，将来临The Era of AI Chip Customization is Approaching
<p>➀ 人工智能模型的复杂性不断增加，网络数量和种类也呈爆炸式增长，使得芯片制造商在固定功能加速和可编程加速器之间徘徊；</p><p>➁ 通用的 AI 处理方法并不达标，专注于特定用例或工作负载可以在更小的占用空间内实现更大的功耗节省和更好的性能；</p><p>➂ AI 算法的复杂性不断增加，浮点运算的数量增加，趋势线只会指向上方和右侧。</p><p>➀ The increasing complexity of AI models and the exponential growth of network numbers and types have led to a dilemma for chip manufacturers between fixed function acceleration and programmable accelerators;</p><p>➁ The general AI processing methods are not up to standard, and focusing on specific use cases or workloads can achieve greater power saving and better performance in smaller space;</p><p>➂ The trend of AI algorithm complexity is increasing, and the number of floating-point operations is increasing, and the trend line is only pointing upwards and to the right.</p>
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