Comparison · The consumer flagship, one generation apart

# RTX 5090 or RTX 4090?

Both are dedicated, both are monthly, both open without an identity check. What separates them is memory, bandwidth and $142 a month — and which of those matters depends entirely on what you intend to run.

- $335/mo RTX 5090, one card
- $193/mo RTX 4090, one card
- 32 vs 24 GB memory per card
- 1.8× bandwidth gap

## The short answer

Which one, and when

- **Pick the RTX 5090:** when your model needs more than 24 GB on a single card. That is a threshold, not a preference — below it, the extra $142/month buys you nothing.
- **Pick the RTX 4090:** when 24 GB holds your model. It saves $142/month, and memory you do not use is memory you paid for.
- **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

**RTX 5090 compared with RTX 4090**

|  | [RTX 5090](https://gpuserver.io/gpu/rtx-5090) | [RTX 4090](https://gpuserver.io/gpu/rtx-4090) | Difference |
|---|---|---|---|
| Architecture | Blackwell | Ada Lovelace | Blackwell is newer |
| Memory per card | 32 GB GDDR7 | 24 GB GDDR6X | 8 GB in favour of the RTX 5090 |
| Memory bandwidth Predicts generation speed | 1,792 GB/s | 1,008 GB/s | 1.78× in favour of the RTX 5090 |
| Form factor | PCIe add-in card | PCIe add-in card | Same |
| Node sizes | 1×, 2×, 4×, 8× | 1×, 2×, 4×, 8× | Up to 256 GB in one node |
| From, per month | $335 | $193 | $142/month apart |

## Price at every node size

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

| Node | RTX 5090 | RTX 4090 | Total VRAM |  |
|---|---|---|---|---|
| 1 × GPU | $335/mo | $193/mo | 32 GB / 24 GB | [RTX 5090](https://gpuserver.io/configure?c=rtx5090-x1) [RTX 4090](https://gpuserver.io/configure?c=rtx4090-x1) |
| 2 × GPU | $692/mo | $416/mo | 64 GB / 48 GB | [RTX 5090](https://gpuserver.io/configure?c=rtx5090-x2) [RTX 4090](https://gpuserver.io/configure?c=rtx4090-x2) |
| 4 × GPU | $1,345/mo | $814/mo | 128 GB / 96 GB | [RTX 5090](https://gpuserver.io/configure?c=rtx5090-x4) [RTX 4090](https://gpuserver.io/configure?c=rtx4090-x4) |
| 8 × GPU | $2,584/mo | $1,579/mo | 256 GB / 192 GB | [RTX 5090](https://gpuserver.io/configure?c=rtx5090-x8) [RTX 4090](https://gpuserver.io/configure?c=rtx4090-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 RTX 5090

Nothing. Every model the RTX 5090 holds on one card, the RTX 4090 holds too — the difference between them is speed, not capability.

### Only the RTX 4090

Nothing. The RTX 5090 holds everything the RTX 4090 does.

**The same model on both: Qwen 3 32B.** On the RTX 5090, roughly 50 tokens/second at 4-bit (AWQ, GPTQ); on the RTX 4090, roughly 28. 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 |
|---|---|---|---|
| [RTX 5090](https://gpuserver.io/gpu/rtx-5090) | $10.47 | $187 | Bandwidth |
| [RTX 4090](https://gpuserver.io/gpu/rtx-4090) | $8.04 | $191 | Memory |

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.

## RTX 5090 against RTX 4090, in short

Is the RTX 5090 worth the extra money over the RTX 4090?

It costs $142 more a month — 74% — for 8 GB more memory and 78% more memory bandwidth. Both hold the same set of models on a single card, so the difference is speed rather than capability.

Which one is faster for LLM inference?

Generation speed is bounded by memory bandwidth, because each token requires re-reading the active weights. The RTX 5090 has 1,792 GB/s against 1,008 GB/s, so the RTX 5090 leads by roughly 78% on a model both of them hold.

Do both come as multi-GPU nodes?

RTX 5090: 1×, 2×, 4×, 8×. RTX 4090: 1×, 2×, 4×, 8×. Both are PCIe cards, joined peer-to-peer over the bus rather than by NVLink.

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

- [RTX 4090 vs L4  Raw speed against low power Compare](https://gpuserver.io/compare/rtx-4090-vs-nvidia-l4)
- [RTX 4090 vs A100 PCIe  The cheap fast card against the data-centre one Compare](https://gpuserver.io/compare/rtx-4090-vs-a100-40gb)

## 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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