AI as a Driver of the Memory Market

According to a report by DIGITIMES, the anticipated easing of the memory shortage by 2027 is closely linked to the exponential growth of artificial intelligence. It is estimated that nearly half of computing products will be driven by AI applications, significantly impacting memory demand and supply.

This increased demand is due to the need for greater memory capacity and bandwidth to handle the complex workloads associated with AI model training and inference. AI systems, particularly large language models (LLMs), require significant amounts of memory to operate efficiently.

For those evaluating on-premise deployments, there are trade-offs to consider carefully. AI-RADAR offers analytical frameworks at /llm-onpremise to evaluate these aspects.