A pretrained relational model beating supervised baselines with no training is a notable datapoint for the tabular frontier — the unglamorous side of AI where most enterprise data actually lives. We'd treat the benchmark with mild caution: dataset selection and baseline tuning often decide vendor-style comparisons like this. Still, the direction echoes what TabPFN showed for small tabular tasks, and NVIDIA pushing here signals it wants to own the data-side stack, not just the compute layer. If zero-shot relational learning holds up on real production pipelines, feature engineering teams will feel it first.