A startup wants to begin training a mid-sized language model within two weeks but has no data center space, limited capital, and uncertain long-term GPU demand that may spike or drop month to month. The team needs multi-GPU nodes with high-speed interconnect but cannot commit to a multi-year hardware purchase. Which infrastructure approach best fits these constraints?