Rent the RTX 5090 if…
your models fit in 32 GB — diffusion, video generation, 8B–14B LLMs at 16-bit, 30B-class at 4-bit — and you want the most speed per dollar.
Deploy an RTX 5090 · $279/mo
NVIDIA RTX 509032 GB GDDR7 · Blackwell
vs
NVIDIA H100 SXM80 GB HBM3 · Hopper
RTX 5090 vs H100: is a 5090 enough?
Blackwell's consumer flagship against Hopper's data center flagship: 32 GB at 1.79 TB/s for $279 a month, or 80 GB at 3.35 TB/s with NVLink for $1,249.
- RTX 5090, dedicated$279per month · $0.38/h effective
- H100, dedicated$1,249per month · $1.71/h effective
- Monthly saving−78%the RTX 5090 costs $970 less a month
The short answer
Which one should you rent?
The RTX 5090 narrows the gap more than any consumer card before it: 32 GB of GDDR7 at 1.79 TB/s and FP4 tensor cores make it the most speed per dollar in the catalogue for image and video generation and for small-model inference. The H100 still owns everything that needs more than 32 GB, sustained multi-GPU scaling or ECC memory — training, fine-tuning beyond LoRA, 70B-class serving.
- Memory. 80 GB of HBM3 against 32 GB of GDDR7: the H100 holds 2.5× as much.
- Bandwidth. 3.35 TB/s against 1.79 TB/s — 1.9× on the H100.
- Formats. FP4 and FP8 on the 5090 (Blackwell), FP8 on the H100 — Hopper has no FP4.
- Price. The H100 costs 4.5× the RTX 5090 per month.
Rent the H100 if…
you train, fine-tune beyond LoRA, serve 70B-class models, need ECC, or want to scale across an 8-GPU NVLink node.
Deploy an H100 · $1,249/moSpecifications
RTX 5090 vs H100: the numbers side by side
NVIDIA's published figures for each part, tensor throughput without sparsity. The last column is how the RTX 5090 compares, as a multiple of the H100.
| Specification | NVIDIA RTX 5090 | NVIDIA H100 SXM | RTX 5090 vs H100 |
|---|---|---|---|
| Architecture | Blackwell · 2025 | Hopper · 2022 | — |
| GPU memory | 32 GB GDDR7 | 80 GB HBM3 | 0.4× |
| Memory bandwidth | 1.79 TB/s | 3.35 TB/s | 0.53× |
| FP16 / BF16 tensor (dense) | 210 TFLOPS (419 with FP16 accumulate) | ~989 TFLOPS | 0.21× |
| FP8 tensor (dense) | 419 TFLOPS (838 with FP16 accumulate) | ~1,979 TFLOPS | 0.21× |
| FP4 tensor (dense) | 1,676 TFLOPS | Not supported | Only the RTX 5090 |
| Maximum power | 575 W | Up to 700 W | 0.82× |
| Form factor | PCIe Gen5 x16 | SXM5 | — |
| GPU-to-GPU link | PCIe only | NVLink 4 · 900 GB/s | — |
| Multi-Instance GPU (MIG) | No | Up to 7 instances | — |
| ECC memory | On-die only (GDDR7) | Yes | — |
| Video engines | 3 NVENC · 2 NVDEC (AV1) | 7 NVDEC · 7 NVJPG | — |
| CUDA compute capability | 12.0 | 9.0 | — |
| Dedicated host here | 8 vCPU · 64 GB RAM · 1 TB NVMe | 24 vCPU · 256 GB RAM · 3 TB NVMe | — |
| Price per month here | $279 | $1,249 | 0.22× |
Sources: NVIDIA datasheets and product pages for each GPU. Tensor figures are dense (NVIDIA often prints them doubled “with sparsity”). Prices are this site's flat monthly rates for a dedicated server with the host listed, in USD excluding VAT.
Value
What each dollar buys
Price per month divided into the two resources most jobs run out of first — memory and memory bandwidth — and what the same GPU costs kept on for a month at the market-median hourly rate.
Per GB of GPU memoryRTX 5090 $8.72 · H100 $15.61per month, dedicated host included
Per TB/s of bandwidthRTX 5090 $156 · H100 $373per month — what decode-heavy inference pays for
Effective hourly rateRTX 5090 $0.38/h · H100 $1.71/hflat monthly price over 730 hours
Same GPU on demand, 24/7RTX 5090 $526 · H100 $2,446market-median hourly rate × 730 h
Model sizes
What fits on one RTX 5090 and one H100
The largest model whose weights fit on a single GPU, keeping 10% of the memory for the runtime, activations and a small KV cache. Long contexts and large batches need more — size them with the GPU memory calculator.
| Weights precision | NVIDIA RTX 5090 | NVIDIA H100 SXM | Typical use |
|---|---|---|---|
| 16-bit (BF16 / FP16) | up to ~14B parameters | up to ~36B parameters | Full-precision inference; the base weights of a LoRA fine-tune |
| 8-bit (FP8 / INT8) | up to ~29B parameters | up to ~72B parameters | FP8 serving with vLLM or TensorRT-LLM on GPUs that support it; INT8 weights elsewhere |
| 4-bit (GPTQ, AWQ, Q4) | up to ~52B parameters | up to ~130B parameters | Quantised inference on a budget; QLoRA fine-tuning |
Parameters in billions, weights only: 2 bytes per parameter at 16-bit, 1 at FP8 or INT8, about 0.55 at 4-bit (GPTQ, AWQ, GGUF Q4). Mixture-of-experts models need memory for all their experts, not just the active ones.
Prices
RTX 5090 and H100 price per month, by term
Per dedicated GPU server, in USD excluding VAT — CPU cores, RAM, NVMe, 20 TB of transfer and 24/7 support included.
| Term | NVIDIA RTX 5090 | NVIDIA H100 SXM | Difference per month |
|---|---|---|---|
| Monthly | $279 | $1,249 | $970 |
| 3 months · −5% | $265 | $1,187 | $922 |
| 6 months · −10% | $251 | $1,124 | $873 |
| 12 months · −15% | $237 | $1,062 | $825 |
| Dedicated host | 8 vCPU · 64 GB RAM · 1 TB NVMe · 10 Gbps | 24 vCPU · 256 GB RAM · 3 TB NVMe · 25 Gbps | included |
RTX 5090 vs H100: questions answered
Is the RTX 5090 faster than the H100?
Rarely in absolute terms, but sometimes per dollar: for diffusion and small-model inference that fit in 32 GB, a 5090 delivers a large share of an H100's speed for 22% of its price. For large models and training, the H100's memory, bandwidth and NVLink win clearly.
Can the RTX 5090 run a 70B model?
Not on one card at a useful precision: 70B at 4-bit needs about 39 GB for the weights. Use the RTX PRO 6000 (96 GB, $749 a month) for single-GPU 70B at FP8, or an H200 for maximum throughput.
Does the RTX 5090 work with CUDA, PyTorch and vLLM?
Yes, with Blackwell-ready builds: CUDA 12.8 or later and framework releases compiled for the RTX 50 series. Older toolkits do not target the card.
Are the RTX 5090 and the H100 in stock?
11 of 30 RTX 5090 units were free at the last stock update; 14 of 64 H100 units were free at the last stock update (18 September 2026). Both are provisioned automatically, in under 10 minutes after payment.
Can I rent the RTX 5090 or the H100 without KYC?
Yes. Both are rented with an email address and paid from a prepaid balance in Bitcoin, Ether or USDT — $279 and $1,249 a month, dedicated, with no identity check and no card.
Other GPU comparisons
Both are in stock, by the month
Dedicated, single-tenant and live in under 10 minutes: the RTX 5090 at $279 or the H100 at $1,249 a month, paid in BTC, ETH or USDT with no KYC.