A research startup needs to begin training large models within two weeks but has no data center, no facilities staff, and no capital budget for hardware. They want a fully managed, NVIDIA-optimized multi-node GPU environment where the software stack and cluster infrastructure are handled for them, so their small team can focus purely on model development. Which consumption model best fits these constraints?