
- DeepSeek’s Engram separates static memory from computation, increasing efficiency in large AI models
- The method reduces high-speed memory needs by enabling DeepSeek models to use lookups
- Engram supports asynchronous prefetching across multiple GPUs with minimal performance overhead
DeepSeek, in collaboration with Peking University, introduced a new training method called Engram, designed to decouple memory storage from computational processes.