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 ...

Fine-tuning large language models in artificial intelligence is a computationally intensive process that typically requires significant resources, especially in terms of GPU power. However, by ...

HUDIMM is being proposed as a cheaper memory spec using only 1x 32-bit subchannel per stick instead of 2x 32-bit in order to ...