Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.
Verdict
RTX 4070 Ti Super has 4 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, RTX 4070 Ti Super delivers 10.1× higher FP16 throughput.
Specifications
| K80 | RTX 4070 Ti Super | |
|---|---|---|
| VRAM | 12 GB | 16 GB |
| VRAM Type | GDDR5 | GDDR6X |
| Memory Bandwidth | 0.2 TB/s | 0.7 TB/s |
| FP16 Performance | 9 TFLOPS | 88 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 4070 Ti Super | |
|---|---|---|
| $/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 4070 Ti Super
No cloud pricing available.
Model Compatibility
Models from the catalog that fit on each GPU, grouped by required precision.
K80 (1000 models)
RTX 4070 Ti Super (1000 models)
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Pricing data refreshed hourly · Last updated June 1, 2026 · Browse all comparisons