GB200 & HGX Servers
The GB300 is the flagship, but Blackwell ships in a family of systems. The GB200 NVL72 is its predecessor (still a giant leap), and the air-cooled HGX B300 / B200 servers bring Blackwell to standard x86 data centers. Here’s how they compare and where each fits.
#GB200 NVL72 — the predecessor that still stuns
Same rack-scale idea as the GB300: 72 Blackwell GPUs + 36 Grace CPUs in one liquid-cooled NVLink domain. Against Hopper it delivers up to 40× AI-factory output, and on a trillion-parameter GPT-MoE-1.8T model it is transformative:
It’s not just inference. The faster Transformer Engine also gives 4× faster training on GPT-MoE-1.8T versus Hopper, while shrinking the footprint dramatically:
Beyond AI: data & simulation
With its tightly-coupled CPU+GPU and the Decompression Engine, GB200 speeds database queries 18× over CPU (7× less energy, 5× lower TCO). In engineering simulation, Cadence SpectreX runs 13× faster than x86, and the Cadence Fidelity CFD solver up to 22× faster.
Replacing 65 racks of air-cooled HGX H100 with a single liquid-cooled GB200 NVL72 at equal performance cuts both energy use and TCO by 25× — while using less water for cooling and tolerating warmer ambient air.
#HGX B300 & B200 — Blackwell for x86 servers
Not every data center wants a Grace-CPU rack. The HGX line puts eight Blackwell GPUs on a baseboard that drops into standard x86 infrastructure.
HGX B300
Built for AI reasoning: 7× more AI compute than Hopper, over 2 TB of HBM3e, and ConnectX-8 networking. For training, agentic systems, reasoning and real-time video.
HGX B200
An eight-GPU x86 platform delivering 144 petaFLOPS of AI — 15× the performance and 12× the TCO of HGX H100. Up to 1,000 W per GPU.
| Spec | HGX B300 | HGX B200 |
|---|---|---|
| GPU configuration | 16 Ultra dies / 8 GPUs | 16 dies / 8 GPUs |
| FP4 Tensor Core (dense / sparse) | 108 / 144 PF | 72 / 144 PF |
| FP8 / FP6 (dense / sparse) | 36 / 72 PF | 36 / 72 PF |
| Fast memory | 2.1 TB | up to 1.4 TB |
| Aggregate memory bandwidth | 62 TB/s | up to 62 TB/s |
| GPU memory (per GPU) | 270 GB · 7.7 TB/s | ≤192 GB · 7.7 TB/s |
| Max TDP (per GPU) | 1,100 W | 1,000 W |
| Interconnect | NVLink 5 · PCIe Gen6 | NVLink 5 · PCIe Gen5 |
#The software that ties it together
Hardware is half the story. NVIDIA AI Enterprise is the end-to-end software platform — including NIM inference microservices, frameworks and libraries — certified to run on NVIDIA-Certified Systems, giving enterprises the security, support and stability to go from pilot to production.