Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

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

One of the greatest challenges facing the designers of many-core processors is resource contention. The chart below visually lays out the problem of resource contention, but for most of us the idea is ...

TurboQuant significantly increases capacity and speeds up key-value cache (KV cache) in AI inference. KV-cache is a type of ...

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 ...

The dynamic interplay between processor speed and memory access times has rendered cache performance a critical determinant of computing efficiency. As modern systems increasingly rely on hierarchical ...

In the early days of computing, everything ran quite a bit slower than what we see today. This was not only because the computers' central processing units – CPUs – were slow, but also because ...

In the world of computing, one of the unexpected things to marvel at is the rapid adoption of artificial intelligence (AI) and cloud computing in data centers. These and other forces are driving ...

Memory is a single word for a complicated brain process that actually takes many different forms. So what exactly is “memory,” and how can you keep your memory strong? You’ve likely heard of the two ...