
NVIDIA has officially unveiled its latest advancement in AI computing technology—the NVIDIA Blackwell Ultra—marking a significant enhancement in memory capacity and AI compute capabilities designed specifically for data centers.
NVIDIA Blackwell Ultra: A Leap Forward with Enhanced Performance and Massive Memory Capacity
After a somewhat rocky start during the initial launch of the Blackwell series, NVIDIA has made substantial improvements to the availability of its cutting-edge AI solution. This is aimed at supporting leading AI and data center providers with top-tier hardware innovations and solutions. The original B100 and B200 GPU series set a high bar with their robust AI computational power, but now, the forthcoming Blackwell Ultra is poised to redefine industry benchmarks.
The upcoming B300 GPU series will not only feature enhanced memory configurations, including advanced memory stacks of up to 12-Hi HBM3E, but will also deliver superior AI compute performance for expedited processing. These new chips will integrate seamlessly with the latest Spectrum Ultra X800 Ethernet switches, which boast a 512-radix capability, providing unmatched network performance for data-heavy applications.

Overview of the NVIDIA Data Center GPU Roadmap
GPU Codename | X | Rubin (Ultra) | Blackwell (Ultra) | Hopper | Ampere | Time | Pascal |
---|---|---|---|---|---|---|---|
GPU Family | GX200 | GR100 | GB200 | GH200/GH100 | GA100 | GV100 | GP100 |
GPU WeU | X100 | R100 | B100/B200 | H100/H200 | A100 | V100 | P100 |
Memory | HBM4e? | HBM4 | HBM3e | HBM2e/HBM3/HBM3e | HBM2e | HBM2 | HBM2 |
Launch | 202X | 2026-2027 | 2024-2025 | 2022-2024 | 2020-2022 | 2018 | 2016 |
For more detailed insights about the NVIDIA Blackwell Ultra, please refer to the source.
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