GB300 NVL72 / GB300 NVL72 vs HGX B300
GB300 NVL72 vs HGX B300
Both use Blackwell Ultra GPUs. One is a 72-GPU liquid-cooled rack, the other an 8-GPU server. The right pick depends on your model and your timeline.
The short version
| GB300 NVL72 | HGX B300 | |
|---|---|---|
| Unit | One rack | One 8-GPU server |
| NVLink domain | 72 GPUs | 8 GPUs |
| Host CPU | NVIDIA Grace (Arm) | x86 |
| Cooling | Liquid only | Air or liquid, by design |
| Smallest sensible rental | A rack, or a slice of one | One node |
Pick GB300 NVL72 when
- Your model is a large mixture-of-experts or needs tensor parallelism beyond 8 GPUs.
- You serve long-context or reasoning workloads where KV cache crosses GPUs.
- You are renting at rack scale anyway and want the most performance per rack.
Pick HGX B300 when
- Your jobs fit in 8 GPUs, or you scale out with data parallelism.
- Your stack assumes x86 hosts.
- You need a smaller start, or more provider choice. HGX servers fit far more data centers than 120 kW liquid-cooled racks, so more operators have them.
Ask for both
Quotes for the same GPU generation can differ a lot between the two systems and between operators. If you are flexible, say so in the form and we'll come back with options for each. For HGX B300 providers, see Best Neocloud's B300 list.
Questions
Is HGX B300 the same GPU as GB300?
Yes, both use NVIDIA Blackwell Ultra GPUs. The difference is the system around them: NVL72 links 72 GPUs with NVLink and Grace CPUs; HGX B300 links 8 per server with x86 hosts.
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