Red Hat pilots Z.ai open-weight AI for inference costs

Enterprise AI costs extend far beyond advertised model prices, as factors like token consumption rates, infrastructure performance, and data governance heavily impact overall spending. While cheaper or open-weight models offer significant savings, testing shows they can sometimes consume more tokens or fail to meet application speed and scale requirements. Furthermore, experts emphasize that robust data governance and access controls must be integrated early to prevent costly production failures. Open article →