Recent #LLMs news in the semiconductor industry
➀ Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) with their breakthroughs, leading to a new wave of technological progress. These models, however, are traditionally deployed on cloud servers, which bring challenges such as network latency, data security, and continuous internet connectivity requirements, limiting their widespread application and user experience.
➁ Storage computing integrates storage and computing, adding computing capabilities to the memory to perform two-dimensional and three-dimensional matrix calculations. It can effectively overcome the bottleneck of the von Neumann architecture and achieve a significant increase in computing energy efficiency.
➂ There are three types of storage computing: Proximity Memory Computing (PNM), In-Memory Processing (PIM), and In-Memory Computing (CIM). Each type has its own advantages and is suitable for different application scenarios.