VentureBeat

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

When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed for complex reasoning — just to access static ...
SDxCentral

DeepSeek looks to offload simple LLM tasks to save billions of parameters

A little over a year after it upended the tech industry, DeepSeek is back with another apparent breakthrough: a means to stop current large language models (LLMs) from wasting computational depth on ...
TechRadar

Deepseek may have found a way to solve the RAM crisis by eliminating the need for expensive HBM for AI inference and training — yes, the very reason why DRAM prices went up ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. DeepSeek’s Engram separates static memory from computation, increasing efficiency in large AI ...