Design Considerations for Next‑Generation AI Platforms: Programming Languages, Runtime Environment, Scheduler, and Model Deployment
The article examines three key design dimensions of modern AI platforms—programming language choice, runtime environment isolation, and scheduling/resource management—while also discussing challenges in model deployment such as algorithm diversity, resource usage patterns, and architectural generality, proposing Kubernetes‑based solutions and Arrow‑based data sharing to achieve efficient, scalable AI services.