群联电子——人工智能万亿参数模型训练竞赛已拉开帷幕

作者 | 2025年3月27日 | 群联新闻

“Phison, a key player in portable SSDs, has unveiled a new solution that aims to drastically reduce the cost of training a 1 trillion parameter model by shifting some of the processing load from GPUs to SSDs, bringing the estimated $3 million operational expense down to just $100,000.

Phison’s strategy involves integrating its aiDAPTIV+ software with high-performance SSDs to handle some AI tool processing tasks traditionally managed by GPUs while also incorporating 英伟达’s GH200 Superchip to enhance performance and keep costs manageable.”- techradar.com

来源: techradar.com

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