Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.
Verdict
DGX Spark (GB10) has 48 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, H100 SXM delivers 7.9× higher FP16 throughput. DGX Spark (GB10) supports a broader range of models (649 vs 636 from this catalog), giving more flexibility.
Specifications
| DGX Spark (GB10) | H100 SXM | |
|---|---|---|
| VRAM | 128 GB | 80 GB |
| VRAM Type | LPDDR5X | HBM3 |
| Memory Bandwidth | 0.3 TB/s | 3.4 TB/s |
| FP16 Performance | 125 TFLOPS | 990 TFLOPS |
| Manufacturer | NVIDIA | NVIDIA |
| FP8 Support | Yes | Yes |
| FP4 Support | Yes | No |
Price / Performance
Based on cheapest single-GPU on-demand pricing. Lower $/TFLOP = better compute value; lower $/GB = better memory value.
| DGX Spark (GB10) | H100 SXM | |
|---|---|---|
| $/hr (cheapest) | — | $1.80 |
| $/TFLOP (compute value) | — | $0.0018 |
| $/GB VRAM (memory value) | — | $0.0225 |
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.
DGX Spark (GB10) (649 models)
H100 SXM (636 models)
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Pricing data refreshed hourly · Last updated April 11, 2026 · Browse all comparisons