群聯電子 – AI 主導 2025 年 FMS 大會

作者 | 2025 年 8 月 23 日 | 群聯新聞

“Phison’s engineers reasoned that GPU performance scales with memory size, meaning high-bandwidth memory (HBM) DRAM, and proper management of this memory along with the use of cheaper NAND flash, can support large models with a lower number of GPUs than normal. Phison’s combined hardware and software approach to this problem, dubbed “aiDAPTIV+,” allows a single GPU to support LLMs at a somewhat slower performance than a multiple-GPU system at a significantly lower cost.”- techtarget.com

來源: 技術目標網

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