If you're putting together a top-tier gaming rig for 4K ultra settings with ray tracing and high frame rates or heavy multitasking without building from ...
SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.
Morning Overview on MSN
Google says TurboQuant cuts LLM KV-cache memory use 6x, boosts speed
Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...
Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.
Tom's Hardware on MSN
Google's TurboQuant reduces AI LLM cache memory capacity requirements by at least six times
The algorithm achieves up to an eight-times performance boost over unquantized keys on Nvidia H100 GPUs.
The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” [ ...
Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
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