Earlier this year, SDxCentral explored the market push behind AI inference – the process where a trained machine learning ...
LMCache enables AMD GPUs to overflow KV cache onto a multi-tier memory hierarchy spanning DRAM, SSD and remote storageSAN ...
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 ...
Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...
DDN added new capabilities to the Lustre platform it manages with Google Cloud, including means to share key-value (KV) cache to boost AI inference workloads. Unveiled at Google’s annual Next event, ...
FREMONT, Calif.--(BUSINESS WIRE)--Penguin Solutions, Inc. (Nasdaq: PENG), the AI factory platform company, today announced the industry's first production-ready KV cache server that utilizes CXL ...
As enterprise AI becomes more complex, AI architectures can no longer treat context as temporary.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results