Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.
Verdict
A40 has 24 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, A30 delivers 1.1× higher FP16 throughput. A40 supports a broader range of models (624 vs 566 from this catalog), giving more flexibility.
Specifications
| A30 | A40 | |
|---|---|---|
| VRAM | 24 GB | 48 GB |
| VRAM Type | HBM2 | GDDR6 |
| Memory Bandwidth | 0.9 TB/s | 0.7 TB/s |
| FP16 Performance | 165 TFLOPS | 150 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.
| A30 | A40 | |
|---|---|---|
| $/hr (cheapest) | — | $0.44 |
| $/TFLOP (compute value) | — | $0.0029 |
| $/GB VRAM (memory value) | — | $0.0092 |
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.
A30 (566 models)
A40 (624 models)
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Pricing data refreshed hourly · Last updated April 11, 2026 · Browse all comparisons