Comparison · Is Blackwell worth the step up?

# H100 SXM5 or B200 SXM6?

Both are dedicated, both are monthly, both open without an identity check. What separates them is memory, bandwidth and $5,729 a month — and which of those matters depends entirely on what you intend to run.

- $6,061/mo H100 SXM5, one card
- $11,790/mo B200 SXM6, one card
- 80 vs 180 GB memory per card
- 2.4× bandwidth gap

## The short answer

Which one, and when

- **Pick the H100 SXM5:** when 80 GB holds your model. It saves $5,729/month, and memory you do not use is memory you paid for.
- **Pick the B200 SXM6:** when your model needs more than 80 GB on a single card. That is a threshold, not a preference — below it, the extra $5,729/month buys you nothing.
- **Neither, if:** your model does not fit on a single card of either. Sharding costs synchronisation at every layer — see the [interconnect guide](https://gpuserver.io/guides/nvlink-vs-pcie) before buying a multi-GPU node.

## Side by side

**H100 SXM5 compared with B200 SXM6**

|  | [H100 SXM5](https://gpuserver.io/gpu/h100-sxm5) | [B200 SXM6](https://gpuserver.io/gpu/b200) | Difference |
|---|---|---|---|
| Architecture | Hopper | Blackwell | Hopper is older |
| Memory per card | 80 GB HBM3 | 180 GB HBM3e | 100 GB in favour of the B200 SXM6 |
| Memory bandwidth Predicts generation speed | 3,350 GB/s | 8,000 GB/s | 2.39× in favour of the B200 SXM6 |
| Form factor | SXM on an HGX board | SXM on an HGX board | Same |
| Node sizes | 4×, 8× | 4×, 8× | Up to 1440 GB in one node |
| From, per month | $6,061 | $11,790 | $5,729/month apart |

## Price at every node size

**Monthly price of both cards at each available node size**

| Node | H100 SXM5 | B200 SXM6 | Total VRAM |  |
|---|---|---|---|---|
| 4 × GPU | $6,061/mo | $11,790/mo | 320 GB / 720 GB | [H100 SXM5](https://gpuserver.io/configure?c=h100-sxm-x4) [B200 SXM6](https://gpuserver.io/configure?c=b200-x4) |
| 8 × GPU | $11,509/mo | $22,351/mo | 640 GB / 1440 GB | [H100 SXM5](https://gpuserver.io/configure?c=h100-sxm-x8) [B200 SXM6](https://gpuserver.io/configure?c=b200-x8) |

## What each one holds on a single card

At 8k context, best precision that fits. This is the difference that decides a purchase — not the specification sheet.

### Only the H100 SXM5

Nothing. Every model the H100 SXM5 holds on one card, the B200 SXM6 holds too — the difference between them is speed, not capability.

### Only the B200 SXM6

- **Qwen 3 235B-A22B (MoE)** — 4-bit (AWQ, GPTQ), ~59 tok/s
- **Mixtral 8×22B (MoE)** — FP8, ~17 tok/s

**The same model on both: Llama 3.3 70B.** On the H100 SXM5, roughly 43 tokens/second at 4-bit (AWQ, GPTQ); on the B200 SXM6, roughly 26. Single-stream and deliberately conservative — with continuous batching the aggregate is several times higher on both. Treat the *ratio* as the useful number, not the absolute.

## Cost per GB and per TB/s

Two ratios that cut through the specification sheet. The first tells you what memory costs; the second what speed costs.

**Cost per gigabyte of VRAM and per terabyte per second of bandwidth**

| Card | $/GB of VRAM, per month | $/TB per second, per month | Better at |
|---|---|---|---|
| [H100 SXM5](https://gpuserver.io/gpu/h100-sxm5) | $75.76 | $1,809 | Neither |
| [B200 SXM6](https://gpuserver.io/gpu/b200) | $65.50 | $1,474 | Both ratios |

These ratios rank cards; they do not choose one. A card that is cheaper per gigabyte is worthless if it has too few gigabytes to hold your model at all — capacity is a threshold, not a slope. Use them to break a tie between two cards that both fit.

## H100 SXM5 against B200 SXM6, in short

Is the H100 SXM5 worth the extra money over the B200 SXM6?

It is actually $5,729 a month cheaper. The B200 SXM6 costs more because of its memory or bandwidth; whether that is worth it depends on whether your model fits on the H100 SXM5.

Which one is faster for LLM inference?

Generation speed is bounded by memory bandwidth, because each token requires re-reading the active weights. The H100 SXM5 has 3,350 GB/s against 8,000 GB/s, so the B200 SXM6 leads by roughly 58% on a model both of them hold.

Do both come as multi-GPU nodes?

H100 SXM5: 4×, 8×. B200 SXM6: 4×, 8×. SXM cards live on an HGX board of four or eight — never two, never ten — and are joined by NVLink rather than PCIe.

Can I rent either without an identity check?

Yes, both, on the same terms. No document, no selfie, no phone number and no company registration, at any level of spend. Payment is in cryptocurrency, each invoice gets its own address, and root access arrives under 5 minutes after the first confirmation.

## Other comparisons

- [H100 SXM5 vs A100 SXM4  The generational jump, on the same board Compare](https://gpuserver.io/compare/h100-sxm5-vs-a100-sxm4)
- [H100 SXM5 vs H100 PCIe  Same card, different fabric Compare](https://gpuserver.io/compare/h100-sxm5-vs-h100-pcie)
- [H200 SXM5 vs H100 SXM5  More memory, more bandwidth, same architecture Compare](https://gpuserver.io/compare/h200-vs-h100-sxm5)

## Both are racked and waiting, in all 6 data centres.

Whichever you pick, it is monthly, paid in crypto, opened without an identity check and delivered in under 5 minutes.

[Open the configurator](https://gpuserver.io/configure) [Read the guides](https://gpuserver.io/guides)

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