Cost per token is the hourly rate divided by sustained throughput, so GB300's price per hour tells you very little on its own. Tracked on-demand rates span roughly $4.00 to $18.00 per GPU with an approximate median near $9.50, against B300's $7.50, on a thin provider set. The premium pays off only when GB300 NVL72's single 130TB/s NVLink domain, 288GB of HBM3e per GPU and 20TB per rack let you serve a model that would otherwise shard across slower links, and when you can keep 72 GPUs busy. Full GB300 NVL72 specs are available on request. B300, B200 and H200 cost per token are the comparison points for any GB300 decision.
GB300's cost per token is driven by four levers more than by the headline rate: how fully you utilise a rack contracted as 72 GPUs, whether coherent NVLink memory removes the sharding overhead a smaller cluster would pay, the precision you serve at, and the commercial term. NVFP4, the native 4-bit format on Blackwell Ultra, can raise throughput once serving engines fully support it, though most production traffic today still runs FP8 or BF16. Against B300, the same silicon sold per card or node, GB300 only wins on cost per token when the model or context is large enough that rack-scale memory changes the serving topology. Against GB200, its predecessor in the same 72-GPU design, the case rests on 288GB of HBM3e per GPU and higher compute, at higher power draw. For anything that fits comfortably on B300, B200 or H200 nodes, the lower hourly rate usually wins.
GB300 economics depend on placement: rack-scale power and liquid cooling make confirming real in-country supply and terms matter more than for any single-card generation. See GB300 availability by country below.
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