Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.
Verdict
V100 32GB has 16 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, V100 32GB delivers 6.3× higher FP16 throughput.
Specifications
| A2 | V100 32GB | |
|---|---|---|
| VRAM | 16 GB | 32 GB |
| VRAM Type | GDDR6 | HBM2 |
| Memory Bandwidth | 0.2 TB/s | 0.9 TB/s |
| FP16 Performance | 5 TFLOPS | 28 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.
| A2 | V100 32GB | |
|---|---|---|
| $/hr (cheapest) | — | — |
| $/TFLOP (compute value) | — | — |
| $/GB VRAM (memory value) | — | — |
Cloud Pricing
Cheapest on-demand price per provider (single GPU).
A2
No cloud pricing available.
V100 32GB
No cloud pricing available.
Model Compatibility
Models from the catalog that fit on each GPU, grouped by required precision.
A2 (1000 models)
V100 32GB (1000 models)
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Pricing data refreshed hourly · Last updated June 1, 2026 · Browse all comparisons