NVIDIA DGX B300
The NVIDIA DGX B300 is an AI infrastructure platform designed for generative AI and large model inference. It features 8 NVIDIA Blackwell Ultra SXM GPUs, delivering up to 144 PFLOPS of FP4 inference performance and 2.1 TB of total GPU memory. Compared to the DGX B200, it offers 1.5× denser FP4 compute performance and 2× faster attention processing. The new 10U chassis supports deployment in NVIDIA MGX racks for the first time, with AC/DC power options and pre-installed NVIDIA AI Enterprise full-stack software—enabling enterprises to run AI workloads at the scale of hyperscale cloud providers.
Core Specifications
CompleteSpecifications
| GPU Architecture | Blackwell Ultra |
| Number of GPUs | 8 SXM |
| FP4 compute | 144 PFLOPS |
| GPU VRAM | 2.1TB |
| Shape | 1 0U Rack |
* Sparse mode specifications: Dense performance is half that of sparse specs. Specs sourced from NVIDIA's official product page; actual configuration subject to factory settings.
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The NVIDIA DGX B300 is an AI infrastructure platform designed for generative AI and large model inference. It features 8 NVIDIA Blackwell Ultra SXM GPUs, delivering up to 144 PFLOPS of FP4 inference performance and 2.1 TB of total GPU memory. Compared to the DGX B200, it offers 1.5× denser FP4 compute performance and 2× faster attention processing. The new 10U chassis supports deployment in NVIDIA MGX racks for the first time, with AC/DC power options and pre-installed NVIDIA AI Enterprise full-stack software—enabling enterprises to run AI workloads at the scale of hyperscale cloud providers.
| GPU Architecture | Blackwell Ultra |
| Number of GPUs | 8 SXM |
| FP4 compute | 144 PFLOPS |
| GPU VRAM | 2.1TB |
| Shape | 1 0U Rack |
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