RTX 5090

Architecture · 32GB · PCIe

VRAM
32GB
FP16
-
TDP
-
Hardware Price
-
Cloud from
$0.890/hr
1 providers
Cheapest at RunPod →

Quick Insights

Performance/Dollar
N/A
FP16 performance per $1000
VRAM/Dollar
N/A
VRAM per $1000
vs null Average
N/A
FP16 TFLOPS comparison
Cloud Availability
1 providers
from $0.890/hr

Specifications

VRAM 32GB
Memory Bandwidth -
FP16 TFLOPS -
Tensor TFLOPS -
FP32 TFLOPS -
TDP -
Form Factor -
Architecture -
NVLink No
Release Date -

Cloud GPU Pricing

Rent RTX 5090 from 1 cloud providers. Prices shown per GPU per hour.

Provider Type Instance GPUs On-Demand Per GPU Spot Availability
RunPod gpu-cloud NVIDIA GeForce RTX 5090 1x $0.890/hr $0.890/hr Cheapest $0.530/hr (-40%) -
Best Spot Deal: RunPod offers spot pricing at $0.530/hr (40% off on-demand).

RTX 5090 vs Alternatives

Compare RTX 5090 with similar GPUs from other brands.

GPU VRAM FP16 TFLOPS Bandwidth Hardware Price Cloud Price
RTX 5090 Current 32GB - - - - -
AMD Instinct MI100 AMD 32GB (+0%) 184.6 1.2 TB/s - - Compare
AMD Radeon RX 7900 XTX AMD 24GB (-25%) 122.0 960 GB/s - - Compare
AMD Radeon RX 7900 XT AMD 20GB (-37%) 104.0 800 GB/s - - Compare
AMD Instinct MI210 AMD 64GB (+100%) 181.0 1.6 TB/s - - Compare

Best Use Cases

No specific use case recommendations for RTX 5090 yet.

Browse All Use Cases →

Compare RTX 5090

Other NVIDIA GPUs

Frequently Asked Questions about RTX 5090

Pricing for RTX 5090 varies. Check our cloud pricing section for rental options starting at $0.890/hr.

Yes, the RTX 5090 with 32GB VRAM is suitable for many AI/ML workloads. For large language models, you may need multiple GPUs or consider higher-VRAM options like A100 or H100.

Consider buying for long-term, heavy usage (>4 hrs/day). Rent from cloud providers for short-term projects, experimentation, or when you need to scale quickly.

With 32GB VRAM and - FP16 TFLOPS, the RTX 5090 can run: Large language models (7B-13B), Stable Diffusion XL, video AI, and professional 3D rendering.

The RTX 5090 offers 32GB VRAM and - FP16 performance at its price point. Compare with similar GPUs using our comparison tool above. Key factors: VRAM for model size, TFLOPS for speed, and price for budget.