The Nvidia Blackwell Ultra B300 data center GPU was announced today during CEO Jensen Huang's keynote at GTC 2025 in San Jose, CA. Offering 50% more memory and FP4 compute than the existing B200 solution, it raises the stakes in the race to faster and more capable AI models yet again. Nvidia says it's "built for the age of reasoning," referencing more sophisticated AI LLMs like DeepSeek R1 that do more than just regurgitate previously digested information.
Naturally, Blackwell Ultra B300 isn't just about a single GPU. Along with the base B300 building block, there will be new B300 NVL16 server rack solutions, a GB300 DGX Station, and GB300 NV72L full rack solutions. Put eight NV72L racks together, and you get the full Blackwell Ultra DGX SuperPOD: 288 Grace CPUs, 576 Blackwell Utlra GPUs, 300TB of HBM3e memory, and 11.5 ExaFLOPS of FP4. These can be linked together in supercomputer solutions that Nvidia classifies as "AI factories."
While Nvidia says that Blackwell Ultra will have 1.5X more dense FP4 compute, what isn't clear is whether other compute have scaled similarly. We would expect that to be the case, but it's possible Nvidia has done more than simply enabling more SMs, boosting clocks, and increasing the capacity of the HBM3e stacks. Clocks may be slightly slower in FP8 or FP16 modes, for example. But here are the core specs that we have, with some inference of other data (indicated by question marks).
