Most fine-tuning does not need a rack. LoRA and QLoRA runs, and full fine-tuning of small and mid-size models, fit comfortably on B300, B200 or H200 nodes. GB300 NVL72 earns its place when full fine-tuning of a very large base model needs weights, gradients and optimizer states spread across many GPUs, and you want that to happen inside one NVLink domain: 72 GPUs, 288GB of HBM3e each and 20TB in aggregate. It is the same silicon as B300 sold as a whole rack, with tracked on-demand GB300 price per hour spanning roughly $4.00 to $18.00 per GPU. Full GB300 NVL72 specs are available on request. B300, B200 and H200 for fine-tuning are the more available, better-fitting options for most adaptation work.
Fine-tuning is where GB300's rack form factor is easiest to over-buy. Parameter-efficient methods like LoRA and QLoRA need a fraction of the memory of a full run and fit on a single B300, B200 or H200 node, so the rack adds cost with no matching gain. The case for GB300 is narrow: full fine-tuning of frontier-scale base models, where weights, gradients and optimizer states exceed what a few nodes can hold and sharding them across slower node-to-node links would slow every step. There, 288GB of HBM3e per GPU and 20TB across one NVLink domain keep the whole job on the fastest interconnect. GB300 is contracted as a rack at roughly 135-140kW, with most capacity on reserved terms, so brief or intermittent fine-tuning is hard to justify against per-card rentals.
GB300 fine-tuning is placement-sensitive: rack-scale power and liquid cooling make confirming real in-country supply matter more than for any single-card generation. See GB300 availability by country below.
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