Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.
Verdict
A30 has 8 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, A30 delivers 36.7× higher FP16 throughput. A30 supports a broader range of models (566 vs 502 from this catalog), giving more flexibility.
Specifications
| A2 | A30 | |
|---|---|---|
| VRAM | 16 GB | 24 GB |
| VRAM Type | GDDR6 | HBM2 |
| Memory Bandwidth | 0.2 TB/s | 0.9 TB/s |
| FP16 Performance | 5 TFLOPS | 165 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 | A30 | |
|---|---|---|
| $/hr (cheapest) | — | — |
| $/TFLOP (compute value) | — | — |
| $/GB VRAM (memory value) | — | — |
Cloud Pricing
Cheapest on-demand price per provider (single GPU).
A2
No cloud pricing available.
A30
No cloud pricing available.
Model Compatibility
Models from the catalog that fit on each GPU, grouped by required precision.
A2 (502 models)
A30 (566 models)
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Pricing data refreshed hourly · Last updated April 11, 2026 · Browse all comparisons