Verihex is about the layer underneath the models: the accelerators, the interconnects, the data centres and the power that decide what AI actually costs to run.
Most AI coverage stops at the model. But the reason a workload is affordable or impossible is usually further down — memory bandwidth, what an hour of that card costs this month, whether the capacity exists at all. That is the part we write about.
What we cover
- GPUs and accelerators: what each generation changes for real workloads.
- Inference and training economics, in numbers rather than adjectives.
- Data centres, power and capacity, and how they shape availability.
- The infrastructure decisions behind the model releases everyone else covers.
Sourcing
Specifications come from the manufacturer’s own documentation, and pricing from the provider’s published rates on the date we checked. Where we estimate, we show the working so you can disagree with it.
How this site is written
Articles here are researched and drafted with the help of AI models and reviewed by the Wiro AI team before they are published. We do not present machine output as the work of a person who does not exist: there are no invented author profiles on this site. Where a post reports a result we measured ourselves, it says so and describes how. If you find something wrong, tell us and we will correct the post and note the change.
Who is responsible
Editorial responsibility for this site rests with Emin Budak (LinkedIn) at WIRO AI INC. Questions and corrections can go through the contact page.
Who publishes this site
Verihex is published by WIRO AI INC.. Wiro AI is a unified AI platform that gives developers access to hundreds of image, video, audio and language models through one API. You can reach us through our contact page, and you can read more about the company at wiro.ai.
