How AI is changing data centers, serverless computing, and edge networks.
For decades, cloud computing was about renting CPU cycles and RAM. Today, the entire cloud infrastructure is being rebuilt around GPUs and AI inference.
Developers are moving away from training models to simply calling APIs (OpenAI, Anthropic). This shifts the massive computing burden to centralized hyperscalers (AWS, Azure).
The next big shift is running smaller, quantized models on the edge (directly on user devices or edge networks like Cloudflare). This reduces latency and privacy concerns, allowing apps to be smart even when offline.
Choosing the right cloud infrastructure is the most critical technical decision for a startup. We compare the heavy control of K8s against the frictionless scale of Serverless.
Where should you host your modern web app? We compare build times, serverless functions, and pricing.
Google's NoSQL giant faces off against the open-source Postgres challenger.
