👉 Lamp computing is an architectural approach that aims to enhance the efficiency and performance of computing systems by integrating compute resources directly into the memory (CMEM) technology. This means that instead of traditional CPUs and GPUs being separate components, the processing units are embedded within the memory cells themselves. This integration significantly reduces data transfer latency and energy consumption, as data does not need to be moved between separate memory and processing units. By bringing computation closer to the data, lamp computing enables faster access times and more efficient use of resources, making it particularly suitable for applications requiring high-speed data processing, such as artificial intelligence, machine learning, and real-time analytics. This architecture also simplifies system design and can lead to more compact and cost-effective hardware solutions.
