Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.
Verdict
RTX 5090 has 8 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, RTX 5090 delivers 3.4× higher FP16 throughput. At $0.44/hr vs $1.29/hr, RTX 5090 is the more cost-efficient choice for inference. RTX 5090 supports a broader range of models (577 vs 566 from this catalog), giving more flexibility.
Specifications
| A10 | RTX 5090 | |
|---|---|---|
| VRAM | 24 GB | 32 GB |
| VRAM Type | GDDR6 | GDDR7 |
| Memory Bandwidth | 0.6 TB/s | 1.8 TB/s |
| FP16 Performance | 63 TFLOPS | 210 TFLOPS |
| Manufacturer | NVIDIA | NVIDIA |
| FP8 Support | No | Yes |
| FP4 Support | No | Yes |
Price / Performance
Based on cheapest single-GPU on-demand pricing. Lower $/TFLOP = better compute value; lower $/GB = better memory value.
| A10 | RTX 5090 | |
|---|---|---|
| $/hr (cheapest) | $1.29 | $0.44✓ best |
| $/TFLOP (compute value) | $0.0206 | $0.0021✓ best |
| $/GB VRAM (memory value) | $0.0537 | $0.0138✓ best |
Cloud Pricing
Cheapest on-demand price per provider (single GPU).
Model Compatibility
Models from the catalog that fit on each GPU, grouped by required precision.
A10 (566 models)
RTX 5090 (577 models)
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Pricing data refreshed hourly · Last updated April 11, 2026 · Browse all comparisons