NVIDIA Positions Vera Rubin Platform Around 'Intelligence per Dollar' for AI Agent Post-Training

NVIDIA is framing its upcoming Vera Rubin platform as a purpose-built engine for reinforcement learning post-training, arguing that lower cost per token translates directly into more capable AI agents per dollar spent. In materials published July 17, 2026, the company laid out a thesis that as agents become increasingly specialized, the economics of building them will hinge on the cost of running the inference calls that power their training.