Nvidia's latest GPUs, the RTX 5090 and RTX 5080, have been closely examined for their L1 and L2 cache configurations, as well as memory enhancements. According to recent reports by Tom's Hardware, the ...

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

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 ...

System-on-chip (SoC) architects have a new memory technology, last level cache (LLC), to help overcome the design obstacles of bandwidth, latency and power consumption in megachips for advanced driver ...

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 ...

Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on ...

The memory hierarchy (including caches and main memory) can consume as much as 50% of an embedded system power. This power is very application dependent, and tuning caches for a given application is a ...

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 ...