An AI tool improves processor speed by studying cache use and helping make memory decisions without repeated testing and ...

TurboQuant vector quantization targets KV cache bloat, aiming to cut LLM memory use by 6x while preserving benchmark accuracy ...

On March 25, 2026, Google Research published a paper on a new compression algorithm called TurboQuant. Within hours, memory ...

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 ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

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 ...

The cache is soldered to the board, so yer out of luck there. In theory, the Aladdin 5 could cache up to 512, but the early chipsets had a flaw in the cache tag RAM that caused the 128 MB limitation.

Advanced Micro Devices will use cache memory in somewhat novel ways to broaden out its desktop chip line, including its upcoming Athlon64 processor, according to sources. The Sunnyvale, Calif.-based ...