A disk or memory cache that supports writing. Data normally written to memory or to disk by the CPU is first written into the cache. During idle machine cycles, the data are written from the cache ...

Memory takes about 20 times as long to access as the cache on these same CPUs, so even though they only have to go to memory %10 of the time, those accesses take twice the total amount of time that ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

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 ...

The gap between the performance of processors, broadly defined, and the performance of DRAM main memory, also broadly defined, has been an issue for at least three decades when the gap really started ...

Google researchers have proposed TurboQuant, a two-stage quantization method that, according to a recent arXiv preprint, can ...

As AI workloads extend across nearly every technology sector, systems must move more data, use memory more efficiently, and respond more predictably than traditional design methodologies allow. These ...

A memory cache that shares the system bus with main memory and other subsystems. It is slower than inline caches and backside caches. See inline cache and backside cache. THIS DEFINITION IS FOR ...

Google’s TurboQuant cuts AI memory use by 6x and speeds up inference. But will it cause DRAM prices to drop anytime soon? Let ...