Memory shortage and AI supply chain

According to DIGITIMES, the artificial intelligence sector is facing significant supply chain challenges, particularly regarding memory availability. This situation could slow down the development and implementation of new AI solutions.

New production hubs

In parallel with memory issues, new production hubs dedicated to AI are emerging. These centers aim to meet the growing demand for hardware and infrastructure needed for training and inference of large language models (LLMs).

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