A 97% saving in the OPEX for training a 1-trillion parameter model sounds very ambitious but Phison claims it can do it

• Phison’s SSD strategy slashes AI training costs from $3 million to $100,000
• aiDAPTIV+ software shifts AI workloads from GPUs to SSDs efficiently
• SSDs could replace costly GPUs in massive AI model training

The development of AI models has become increasingly costly as their size and complexity grow, requiring massive computational resources with GPUs playing a central role in handling the workload.

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.