Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

It turns out the rapid growth of AI has a massive downside: namely, spiraling power consumption, strained infrastructure and runaway environmental damage. It’s clear the status quo won’t cut it ...

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

The reason why large language models are called ‘large’ is not because of how smart they are, but as a factor of their sheer size in bytes. At billions of parameters at four bytes each, they pose a ...

Training frontier-scale transformers has become a significant source of financial exposure for enterprises. GPU shortages, power and cooling ceilings and rising cloud costs mean each serious ...