Beyond the mid-size build
For DeepSeek V4 Pro (1,600B parameters, needs 1,920 GB of GPU memory) — bigger than a single DGX B200 (1,440 GB) can hold. Two options.
What a "cluster" means here
Definition: a cluster is two or more separate machines connected together and used as a single combined system.
Whenever a build below combines machines, we show the combined GPU memory, combined power, and combined price.
Option 1: 2x DGX B200
2,880 GB combined vs. 1,920 GB needed. Two complete DGX B200 systems, each already NVLink-connected internally, joined together — a cluster of two integrated machines rather than 16 loose cards.
28,600 W ÷ 1,200 W ≈ 23.8 average homes' continuous draw. At full load for 24 hours (one day): 28,600 W × 24 ÷ 1,000 = 686.4 kWh ÷ 90 kWh (one EV battery) = 7.63x an EV battery's worth of energy per day.
Request a quote for 2x DGX B200Option 2: 1x GB300 NVL72 rack
20,736 GB combined vs. 1,920 GB needed — far more than required for this model alone. In a GB300 NVL72, all 72 GPUs are wired by an NVLink switch fabric and software sees one huge GPU with shared memory: a real cluster, not a pile of separately-addressed cards. Choose this if you expect to grow well past DeepSeek V4 Pro's requirement, run multiple models at once, or serve many simultaneous users.
132,000 W ÷ 1,200 W = 110 average homes' continuous draw. At full load for 24 hours (one day): 132,000 W × 24 ÷ 1,000 = 3,168 kWh ÷ 90 kWh (one EV battery) = 35.2x an EV battery's worth of energy per day.
Request a quote for the GB300 NVL72 rack