Built for a technical audience at a critical moment: AI adoption is accelerating, but access to GPU resources remains fragmented and opaque. Developers are left comparing inconsistent specs and shifting prices across dozens of providers, wasting time on what should be a simple decision. The goal was straightforward—create the index the market was missing, with the accuracy and speed engineers expect.
We approached the build as a product, not a website. The system had to normalize complex data across dozens of providers, update quickly, and scale as the market evolved. That meant structuring everything around clean taxonomies, JSON-based imports, and a modular design system. WordPress with Bricks and JetEngine provided the right balance of cost-effectiveness, flexibility, and usability for non-technical stakeholders, while still supporting a complex data model.
The interface is deliberately spare. Cards display specs and pricing upfront. Instant search and dynamic filters sit on top of a structured data model, making results fast and accurate. Built on WordPress with Bricks and JetEngine, the platform isn’t just a front end—it’s a modular system that can absorb new providers and configurations without rework.
Beyond listings, we built a resource hub for reviews, guides, and provider spotlights. This gave users context and depth while helping the site attract and hold traffic. GPUAdvice was designed to be more than a table of specs. It is a growing reference point that supports evaluation, education, and market visibility for providers.
The Results
GPUAdvice shipped with a fully structured data model, a scalable taxonomy system, and an instant-search UI, giving developers a tool that works on day one. The platform already indexes hundreds of GPU configurations across 60+ providers, with the ability to expand instantly as new listings are added.