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 ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in which the probabilities of tokens occurring in a specific order is ...

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

The algorithm achieves up to an eight-times performance boost over unquantized keys on Nvidia H100 GPUs.

Sandisk Corp.’s NAND thesis stays strong. Learn why the SNDK stock dip may be headline-driven and why it could retest highs.

SAN MATEO, Calif. — Under pressure to reduce bill-of-materials costs, Sandcraft Inc. has rolled out a 64-bit MIPS processor that sells for less than half the cost of an existing device with the same ...

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 ...

What Google's TurboQuant can and can't do for AI's spiraling cost ...