A new technical paper titled “WARDen: Specializing Cache Coherence for High-Level Parallel Languages” was published by researchers at Northwestern University and Carnegie Mellon University.

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

In the eighties, computer processors became faster and faster, while memory access times stagnated and hindered additional performance increases. Something had to be done to speed up memory access and ...

Google AI has introduced a major breakthrough with TurboQuant, a system that reduces KV cache memory usage by up to 6x while improving chatbot efficiency during real-time conversations. This allows AI ...