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GPU comparison · Blackwell vs Hopper
NVIDIA RTX 5090 vs H100.
A GeForce card against the Hopper data-center GPU. The H100 SXM has 2.5× the memory (80 GB of HBM3 against 32 GB of GDDR7), 1.9× the bandwidth, about 4.7× the dense FP8 and BF16 throughput and NVLink between GPUs. The RTX 5090 adds FP4 tensor cores and costs about a fifth as much: $329 against $1,779 per GPU per month.
- 32 vs 80 GBGPU memory
- 1.79 vs 3.35 TB/smemory bandwidth
- $329 vs $1,779per GPU, per month
RTX 5090 vs H100: which one to rent.
Choose the RTX 5090 if
- Your model fits in 32 GB per card: up to about 24B parameters in FP8 or 45B in 4-bit by our sizing rule.
- You generate images or video, or render: RT cores and FP4 tensor cores, which the H100 does not have.
- Price comes first: four RTX 5090 ($1,316 a month) cost less than one H100.
Choose the H100 if
- Your model needs more than 32 GB per GPU: one H100 holds about 61B parameters in FP8, or a 70B model in 4-bit (about 46 GB).
- You train or fine-tune across GPUs: NVLink 4 links H100s at 900 GB/s per GPU, while GeForce cards talk over PCIe.
- You need ECC memory, FP64 for scientific code, or the highest throughput per GPU.
RTX 5090 vs H100 specs, side by side.
Figures from NVIDIA’s published specifications, per GPU. Tensor figures are peak dense throughput.
| Per GPU | NVIDIA RTX 5090 | NVIDIA H100 | H100 / RTX 5090 |
|---|---|---|---|
| Architecture | Blackwell | Hopper, TSMC 4N | — |
| Form factor | PCIe Gen5 graphics card | SXM5 module | — |
| GPU memory | 32 GB GDDR7, 512-bit | 80 GB HBM3, 5,120-bit | 2.5× |
| Memory bandwidth | 1,792 GB/s | 3.35 TB/s | 1.87× |
| GPU-to-GPU link | None (PCIe Gen5) | NVLink 4, 900 GB/s per GPU | — |
| FP4 tensor (dense) | 1.7 PFLOPS | Not supported | — |
| FP8 tensor (dense) | 419 TFLOPS | 1,979 TFLOPS | 4.7× |
| FP16 / BF16 tensor (dense) | 209.5 TFLOPS | 989 TFLOPS | 4.7× |
| FP64 | — | 34 / 67 TFLOPS | — |
| Max power | 575 W | Up to 700 W, configurable | — |
| GPUs per server | 1, 2, 4 | 1, 2, 4, 8 | — |
| Per GPU in our servers | 16 vCPU · 64 GB RAM · 1 TB | 20 vCPU · 200 GB RAM · 2 TB | — |
Sources: NVIDIA GeForce RTX 5090 · RTX Blackwell whitepaper · NVIDIA H100. Full sheets: RTX 5090 · H100
RTX 5090 vs H100 rental price.
At CryptGPU, the RTX 5090 rents for $329 and the H100 for $1,779 per GPU per month, 30% below the market median of public on-demand prices, paid in crypto with no KYC. Hourly figures are the monthly price divided by 730 hours.
| CryptGPU | NVIDIA RTX 5090 | NVIDIA H100 | H100 / RTX 5090 |
|---|---|---|---|
| Price per GPU, per month | $329 | $1,779 | 5.4× |
| Equivalent per GPU-hour | $0.45 | $2.44 | — |
| Per GB of GPU memory, per month | $10.28 | $22.24 | 2.2× |
| Per PFLOPS of dense FP8, per month | $785 | $899 | 1.14× |
| Largest server | 4× · $1,316/mo | 8× · $14,232/mo | — |
| Market median, per GPU | $481 | $2,548 | — |
| Below the median | −32% | −30% | — |
Same price per GPU at every server size, no hourly metering. How we compare prices · Configure an RTX 5090 server · Configure a H100 server
Which models fit on each.
Smallest server that holds each model, by precision. Rule of thumb with headroom for the KV cache, 92% of GPU memory usable.
| Model (total parameters) | RTX 5090 · FP8 | H100 · FP8 | RTX 5090 · 4-bit | H100 · 4-bit |
|---|---|---|---|---|
| Qwen3.5-9B | 1× | 1× | 1× | 1× |
| Gemma 4 31B | 2× | 1× | 1× | 1× |
| Llama 3.3 70B | 4× | 2× | 2× | 1× |
| gpt-oss-120b | — | 2× | 4× | 2× |
| DeepSeek-V4-Flash | — | 8× | — | 4× |
| Qwen3.5-397B-A17B | — | 8× | — | 4× |
| DeepSeek-R1 (671B) | — | — | — | 8× |
| Kimi K2.6 (1T) | — | — | — | — |
FP8 ≈ 1.2 bytes and 4-bit ≈ 0.65 bytes per parameter. — = larger than the biggest server of that GPU. Size another model · How much VRAM does an LLM need?
RTX 5090 vs H100 FAQ.
More on each GPU: NVIDIA RTX 5090 · NVIDIA H100.
Can an RTX 5090 replace an H100?
For inference of models that fit in 32 GB, and for image and video generation, often yes, at a fraction of the price. For larger models, multi-GPU training, ECC memory or FP64 work, the H100 is the right tool.
Which is faster for LLM inference?
Per GPU, the H100: 1.9× the memory bandwidth, which bounds token generation, and about 4.7× the dense FP8 throughput, which speeds up prompt processing. Real speed depends on the model, the precision and the engine; we do not publish benchmarks.
How many RTX 5090 match the memory of one H100?
GeForce servers come with 1, 2 or 4 cards: four RTX 5090 hold 128 GB (about 118 GB usable) for $1,316 a month, against 80 GB for $1,779 on one H100. The four cards share the work over PCIe, which is slower than NVLink.
Other GPU comparisons.
Rent the RTX 5090 or the H100.
Dedicated servers with 1 to 8 GPUs, one monthly price, paid in crypto. Online in under 10 minutes, no KYC.