Top Blackwell consumer GPU for local AI development and rendering.
For smaller projects, the RTX 5090 is available around $0.25/hr per GPU (on-demand). This tier offers a 74% discount compared to the higher end of the market ($0.99/hr). Spot instances start lower, at $0.10/hr per GPU.
USA 9 configs 1x-8x
USA 16 configs 1x-16x
USA 1 config 1x
Canada 20 configs 1x-8x
France 2 configs 1x-8x
UAE 6 configs 1x-16x
Hong Kong 8 configs 1x-8x
Singapore 4 configs 1x-8x
Ukraine 3 configs 1x-3x
USA 1 config 1x
Switzerland 1 config 1x
USA 12 configs 1x-2x
USA 20 configs 1x-8x
UAE 4 configs 1x-2x
USA 2 configs 1x
Heads up: We do our best to keep these specs & prices accurate. However, cloud costs may fluctuate based on region, usage, and other factors not listed here. These are estimates based on common setups and are for informational purposes only. Always verify current rates & exact specs with the provider before provisioning.
32GB GDDR7 with Blackwell FP4 Tensor Cores. Highest consumer GPU performance available. Strong for local AI development, LoRA fine-tuning, and image generation.
Consumer GeForce GPU. No ECC memory. Subject to Nvidia's consumer EULA, which may restrict data center use. For production workloads, consider the L40S or RTX 6000 Ada.
The median on-demand price across providers has fallen about 48% since August 2025, from $0.88 to $0.46/hr per GPU. This reflects the market-wide median, which moves both when providers change prices and when lower or higher priced offerings enter the market.
With 32GB of VRAM, the RTX 5090 can typically run 7B to 13B models in FP16, or larger models in 4-bit quantized form.
The RTX 5090 has 32GB of VRAM. Multi-GPU setups increase total memory, but that memory is not automatically pooled across GPUs.
The RTX 5090 has 1,792 GB/s of memory bandwidth. Higher bandwidth helps with faster data transfer between GPU memory and compute cores.
The RTX 5090 supports 7 precision formats. Training: BF16, FP16, TF32, FP32. Inference: FP4, FP8, INT8.
No. The RTX 5090 is a PCIe-only GPU with no NVLink, so it is better suited to single-GPU inference and smaller-scale workloads than large distributed training jobs.
RTX 5090 pricing currently ranges from $0.10/hr to $0.99/hr per GPU, depending on the provider, instance type, and billing model.
At 720 hours per month, one RTX 5090 can cost between $68.83 to $712.80 per month, depending on the provider. Reserved and spot pricing can lower that further.
The RTX 5090 is available from 15 cloud providers, including Runpod, Cloudzy, GPUhub. Pricing and availability vary by region and billing model.
Yes. We currently track 109 RTX 5090 listings across 15 cloud providers:
| Billing type | Listings | Avg $/GPU/hr |
|---|---|---|
| On-demand | 44 | $0.62/hr |
| Reserved | 50 | $0.53/hr |
| Spot | 15 | $0.29/hr |
| GPU Architecture | Blackwell |
| CUDA Cores | 21760 |
| Boost Clock | 2.41 GHz |
| Base Clock | 2.01 GHz |
| Tensor Cores | 5th Generation |
| AI Performance | 3352 AI TOPS |
| RT Cores | 4th Generation |
| RT Performance | 318 TFLOPS |
| Memory Config | 32 GB GDDR7 |
| Memory Interface | 512-bit |
| PCI Express | Gen 5 |
| CUDA Capability | 12.0 |
| Dimensions (L x W) | 304 mm x 137 mm |
| Slot Size | 2-Slot |
| Max GPU Temperature | 90 C |
| Total Graphics Power (TGP) | 575 W |
| Required System Power | 1000 W |
| Power Connectors | 4x PCIe 8-pin (adapter) OR 1x 600 W PCIe Gen 5 cable |
| NVLink Support | No |
Source: official Nvidia RTX 5090 datasheet.
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