Morning Overview on MSN
Google says TurboQuant cuts LLM KV-cache memory use 6x, boosts speed
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 ...
Morning Overview on MSN
Google’s new AI compression could cut demand for NAND, pressuring Micron
A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...
The year so far has been filled with news of Spectre and Meltdown. These exploits take advantage of features like speculative execution, and memory access timing. What they have in common is the fact ...
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 ...
System-on-a-Chip (SoC) designers have a problem, a big problem in fact, Random Access Memory (RAM) is slow, too slow, it just can’t keep up. So they came up with a workaround and it is called cache ...
In a computer, the entire memory can be separated into different levels based on access time and capacity. Figure 1 shows different levels in the memory hierarchy. Smaller and faster memories are kept ...
Google removed their documentation for the cache: search operator because it no longer works. The Internet Archive’s Wayback Machine shows the documentation was live as of September 17, 2024. The URL ...
Write-through: all cache memory writes are written to main memory, even if the data is retained in the cache, such as in the example in Figure 4.11. A cache line can be in two states – valid or ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results