Tether CEO: Efficient models reduce training costs, local and edge inference become trends
On January 27th, Tether CEO Paolo Ardoino tweeted that training powerful models will no longer require millions of GPUs in the future. This method of relying purely on brute force computation is both inefficient and inelegant. Better models will significantly reduce training costs, while data acquisition remains key. Inference will shift towards local or edge devices, avoiding wasting hundreds of billions of dollars on pure computational power alone.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
Fed Official Kashkari: Must Ensure Tariffs Do Not Trigger Persistent Inflation
Trump: Trade Losses Brought by the Biden Administration Will Never Return
Trump: No Intention to Fire Powell, Urges the Fed to Cut Rates
Trending news
MoreCrypto prices
More








