April 2026 DigitalOcean Tutorials: Inference Optimization and AI Infrastructure

Most AI teams hit the same walls once they move past prototyping. The RAG pipeline that worked flawlessly in a starts hallucinating under real traffic. Inference costs climb without clear optimization levers. GPU resources sit underutilized while workloads spike elsewhere. Most of the time, the root cause traces back to architecture decisions that weren't pressure-tested for production. This month's DigitalOcean tutorials focus on diagnosing and fixing those failure points across the AI infrastructure stack.