Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.
Verdict
RTX 4000 Ada has 8 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, RTX 4000 Ada delivers 6.0× higher FP16 throughput. RTX 4000 Ada supports a broader range of models (562 vs 486 from this catalog), giving more flexibility.
Specifications
| K80 | RTX 4000 Ada | |
|---|---|---|
| VRAM | 12 GB | 20 GB |
| VRAM Type | GDDR5 | GDDR6 |
| Memory Bandwidth | 0.2 TB/s | 0.4 TB/s |
| FP16 Performance | 9 TFLOPS | 53 TFLOPS |
| Manufacturer | NVIDIA | NVIDIA |
| FP8 Support | No | Yes |
| 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 4000 Ada | |
|---|---|---|
| $/hr (cheapest) | $0.18 | — |
| $/TFLOP (compute value) | $0.0206 | — |
| $/GB VRAM (memory value) | $0.0150 | — |
Cloud Pricing
Cheapest on-demand price per provider (single GPU).
K80
| Provider | On-demand | Spot | Rent |
|---|---|---|---|
| Microsoft Azure | $0.18/hr | $0.10/hr |
RTX 4000 Ada
No cloud pricing available.
Model Compatibility
Models from the catalog that fit on each GPU, grouped by required precision.
K80 (486 models)
RTX 4000 Ada (562 models)
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Pricing data refreshed hourly · Last updated April 11, 2026 · Browse all comparisons