AI Infrastructure in 2026: How Engineering Teams Are Rebuilding the Cloud Stack
GPUs changed the unit economics of the cloud, and the architecture is following. Inside the ground-up rebuild of the production stack for AI workloads.
Engineering the Future of Infrastructure
Senior Writer, AI Infrastructure
Marcus covers GPU infrastructure, LLM serving and MLOps. He has built inference platforms for teams shipping models to production.
3 stories
GPUs changed the unit economics of the cloud, and the architecture is following. Inside the ground-up rebuild of the production stack for AI workloads.
What actually happens between an API call and a token. A tour of the serving stack — batching, KV cache, autoscaling and the cost of every millisecond.
Latency and errors are not enough. Tracking quality, cost-per-request and hallucination signals for systems whose output is probabilistic.
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