DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

DeepSeek’s Engram Conditional Memory Shows How to Reduce AI Compute Waste

DeepSeek's new Engram AI model separates recall from reasoning with hash-based memory in RAM, easing GPU pressure so teams ...

New AI method lets models think harder while avoiding costly bandwidth

New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...
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AI’s next breakthrough will come from memory, not bigger models

Memory, as the paper describes, is the key capability that allows AI to transition from tools to agents. As language models ...