direct comparison under identical conditions
DGX Spark 2 vs RTX 5090 Chapter 2 Local LLM Comparison
Two DGX Sparks are advantageous for ultra-large model loading, and two RTX 5090s are advantageous for CUDA processing speed within 64GB.
core difference
| Measure | 2× DGX Spark 256GB | 2× RTX 5090 64GB (PCIe) |
|---|---|---|
| Available fast memory | 232GB | 61GB |
| Memory bandwidth | 546GB/s | 3584GB/s |
| Sustained LLM power | about 380W | about 1100W |
| Korean price range (KRW) | 1,420–1,740 × KRW 10,000 | 1,240–1,560 × KRW 10,000 |
Which device suits the task?
| purpose | superior equipment | reason |
|---|---|---|
| Chat / coding | 2× RTX 5090 64GB (PCIe) | In token generation with the same model, the side with higher memory bandwidth has an advantage. |
| Documents / RAG | 2× DGX Spark 256GB | The side with larger available memory provides more headroom for longer contexts and KV cache. |
| Image / video | Similar | Let's look at generation tool compatibility and available GPU memory together. |
| Setup | Similar | Compare finished product status and initial driver·system configuration burden. |
| Power / space | 2× DGX Spark 256GB | Prioritize the side with lower sustained power load. |
Local pricing
2× DGX Spark 256GB is a complete system, 2× RTX 5090 64GB (PCIe) is the price for 2 GPU units. When comparing GPU units, the base unit cost must be added.