Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.
Verdict
RTX 3090 has 12 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, RTX 3090 delivers 8.1× higher FP16 throughput. At $0.18/hr vs $0.25/hr, K80 is the more cost-efficient choice for inference. RTX 3090 supports a broader range of models (566 vs 486 from this catalog), giving more flexibility.
Specifications
| K80 | RTX 3090 | |
|---|---|---|
| VRAM | 12 GB | 24 GB |
| VRAM Type | GDDR5 | GDDR6X |
| Memory Bandwidth | 0.2 TB/s | 0.9 TB/s |
| FP16 Performance | 9 TFLOPS | 71 TFLOPS |
| Manufacturer | NVIDIA | NVIDIA |
| FP8 Support | No | No |
| FP4 Support | No | No |
Price / Performance
Based on cheapest single-GPU on-demand pricing. Lower $/TFLOP = better compute value; lower $/GB = better memory value.
| K80 | RTX 3090 | |
|---|---|---|
| $/hr (cheapest) | $0.18✓ best | $0.25 |
| $/TFLOP (compute value) | $0.0206 | $0.0035✓ best |
| $/GB VRAM (memory value) | $0.0150 | $0.0104✓ 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.
K80 (486 models)
RTX 3090 (566 models)
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Pricing data refreshed hourly · Last updated April 11, 2026 · Browse all comparisons