As GenAI inference becomes a dominant workload, researchers are evolving new Kubernetes-native projects to address bottlenecks, delivering the scalability and efficiency AI workflows require. The rapid rise of generative AI has fundamentally reshaped cloud computing. From sophisticated training pipelines to high-throughput, real-time inference, modern AI workloads demand dynamic access to expensive, heterogeneous resources, particularly GPUs […]