Modern IT is driven just as much by economic decisions as it is by technical concepts. The costs of hardware, cloud services, storage, and more all factor into how CIOs and IT leaders budget and deploy their strategies. And now with AI, we have another cross-disciplinary decision to incorporate: Token economics, in this case, how our AI strategies consume the volatile costs of underlying AI models.Currently, most enterprise AI relies on calling frontier model APIs and paying for tokens consumed and generated. While this is an easy starting point, the math is changing. Token consumption is skyr
The past few years have been a period of significant change and challenges in the virtualization industry. Customers are forced to re-evaluate their virtualization platforms while adapting to the rapid rise of AI and infrastructure as well as supply chain pressures.Even with all this turmoil, technology leaders and virtualization admins still need to manage the critical workloads, databases, applications, and virtual machines (VMs) within the budget constraints. If you’re wondering what's next for virtualization infrastructure, the answer is Red Hat OpenShift Virtualization. This strategic e