A small research team of three data scientists needs a dedicated deep-learning system that sits under a desk in their office, runs on standard single-phase wall power, and lets them prototype and fine-tune mid-sized models locally without requiring a data center or specialized rack cooling. They want an NVIDIA-branded turnkey system rather than assembling their own. Which option best fits these requirements?