Memory development has progressed slowly compared to advances in processing and storage. The 'memory wall problem' causes performance issues as processor speeds exceed memory bandwidth, leading to bottlenecks. This problem is intensified by increasing demands from memory-intensive applications like AI and high-performance computing. New memory technologies are emerging to address these challenges and provide the necessary performance for modern workloads. Traditional memory solutions, such as DRAM and NAND flash, are becoming less effective as their limits on scaling, speed, and density are reached.
Memory development has been iterative rather than revolutionary, and current technology faces challenges from the 'memory wall problem' due to processor speeds outpacing memory bandwidth.
The memory wall problem worsens as CPU and GPU advancements outstrip memory architecture improvements, affecting performance for memory-intensive workloads like HPC and AI.
Emerging memory technologies are needed to address the demands of AI, big data analytics, and hyperscale cloud datacentres, as traditional memory technologies reach their limits.
The demand for higher bandwidth, lower latency, greater capacity, and energy efficiency in modern applications showcases the inadequacy of traditional memory solutions.
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