HGX B300 (Blackwell Ultra) pushes memory and networking per system even higher than HGX B200. Both are 8-GPU AI platforms, but the B300 is built for the very largest models and long-context inference.
Here is how the two compare on total HBM, networking class and the workloads that justify the step up to B300.
Key differences at a glance
- Spec (8-GPU)HGX B300HGX B200GPU: HGX B300, Blackwell Ultra; HGX B200, Blackwell
- Total HBM: HGX B300, ~2,304GB HBM3e; HGX B200, ~1,440GB HBM3e
- Networking: HGX B300, ConnectX-8 / 800G class; HGX B200, ConnectX-7 / 400G class
- Best for: HGX B300, Largest LLM train/infer; HGX B200, Frontier LLM training
Specifications at a glance
| Spec (8-GPU) | HGX B300 | HGX B200 |
|---|---|---|
| GPU | Blackwell Ultra | Blackwell |
| Total HBM | ~2,304GB HBM3e | ~1,440GB HBM3e |
| Networking | ConnectX-8 / 800G class | ConnectX-7 / 400G class |
| Best for | Largest LLM train/infer | Frontier LLM training |
The B300 advantage
HGX B300 increases total HBM per system to around 2.3TB and pairs with next-gen 800G-class networking, ideal for the very largest models and long-context inference at scale.
Verdict: which should you buy?
If you are deploying the largest frontier models and want maximum memory and network bandwidth per node, HGX B300 leads. HGX B200 remains a powerful, slightly more available option for frontier training.
Total cost, availability and support
Raw benchmarks are only half the story. Street prices, stock levels and lead times for HGX B300 and HGX B200 swing widely with demand and region, and warranty and after-sales support differ from one seller to the next. On GPU Vendors you can compare verified vendors side by side, see transparent pricing and lead times, and buy direct, which often matters more to total cost of ownership than a few percentage points of raw performance.
Which one is right for you?
If your workloads and budget are still growing, favour the option with more memory and longer headroom so you are not forced to upgrade again within a year. If you have a fixed, well-understood workload, the more affordable choice frequently delivers the best value per dollar. Model both against your real requirements, resolution and frame-rate targets for gaming, or model size, batch size and context length for AI, before you commit.
Frequently asked questions
Is HGX B300 worth it over HGX B200?
It depends on your workload and budget. If you regularly hit the limits of HGX B200, whether that is memory capacity, bandwidth or raw throughput, then HGX B300 pays for itself in headroom and longevity. If HGX B200 already covers your needs comfortably, the upgrade is harder to justify on performance alone.
Will HGX B200 still be supported?
Yes. Both options continue to receive driver and software support, so HGX B200 remains a viable choice and is often the better value on the used and clearance market.
Where can I compare prices for HGX B300 and HGX B200?
Use the GPU Vendors comparison tool to line up full specs and live prices from verified sellers, then buy direct from the vendor with the best price and lead time.
Prices and availability change constantly. Compare live offers from verified sellers and build a side-by-side spec sheet on the GPU Vendors comparison tool.