related data center offerings. Define European requirements for AI infrastructure software, including model serving, orchestration, workload management, developer tools, runtime environments, compilers, SDKs, containerization, Kubernetes integration, observability, benchmarking, security, and deployment workflows. Develop European messaging around performance, power efficiency, total cost of ownership, software maturity, deployment flexibility, openness, sovereignty … cloud‐native and edge AI software stacks. Experience with data center AI infrastructure, including CPUs, GPUs, NPUs, heterogeneous accelerator environments, Kubernetes‐based environments, containerization, workload management, resource scheduling, bin‐packing, and topology‐aware placement. Experience with AI accelerator software and optimization, including model serving, compilers, runtime frameworks, memory‐aware serving ...