SKA Regional Centres operating at modest scale face a distinct set of challenges in the petabyte era: not how to store everything, but how to extract maximum scientific value from the data and hardware they do have. The Swiss SRC (CHSRC), hosted at CSCS, approaches this by leaning into its strengths rather than attempting to replicate larger node capabilities. With GraceHopper nodes available at CSCS, AI/ML-intensive science use cases are a natural focus, reflecting the priorities of the Swiss astronomy community — but integrating specialised HPC hardware into a science platform is itself a non-trivial architectural challenge. For data-hungry use cases such as EoR that will require compute-to-data across the SRCNet, the architecture must support workflows that can move between nodes, though this model is still ahead of us as we work towards SKAO Science Verification. This talk is grounded in CHSRC's preparation for SV: qualifying as an SV node, ensuring Swiss users can access SV data, and building a software platform that makes the most of the infrastructure available. It explores the architectural consequences of operating under fixed hardware constraints, where flexibility must live in the software and platform layer — including FirecREST integration as a mechanism for abstracting heterogeneous HPC resource access. We also discuss user support as a first-class activity in building the habits and tooling that enable reproducible, scalable astronomy. The Swiss case offers a perspective on how small partners can contribute meaningfully to a global infrastructure by being precise about where they add value.