Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
Abstract: With the popularity of cloud services, Cloud Block Storage (CBS) systems have been widely deployed by cloud providers. Cloud cache plays a vital role in maintaining high and stable ...
Abstract: Modern processors use caches to reduce memory access time. However, their limited size leads to frequent misses, requiring an efficient replacement policy. The Least Recently Used (LRU) ...
The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. Specifically, the Key-Value (KV) cache size ...
Page Fault/ ├── constants.py # Constants, enums, configuration (~35 lines) ├── models.py # Data classes (~20 lines) ├── algorithms.py # Algorithm ...
// Removing non-existent key won't change the size of cache.
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