Micron is investigating the use of NAND flash memory positioned close to GPUs to enable the running of larger Large Language Models (LLMs). This approach aims to improve memory bandwidth and capacity, potentially benefiting devices with unified memory architectures. The development could offer a pathway to more efficient LLM deployment on consumer hardware. AI
IMPACT Could enable larger LLMs to run more efficiently on consumer hardware by improving memory bandwidth and capacity.
RANK_REASON This is a hardware development related to AI infrastructure, not a core AI release or research paper.
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