Side-by-side simulation · recommended settings
Two RTX 5090s vs one PRO 6000: Which for larger LLMs?
Compare the single PRO configuration when weights, KV cache and workspace together exceed the two 5090s’ 64GB total but fit comfortably within the PRO 6000’s 96GB. The two 5090s need a supported model-splitting runtime. For smaller models, compare execution speed and complete-system costs.
Choose devices and a model
Expand comparison settings
Same 117output tokens. Only evidence-qualified acceleration is selected automatically; runtime formats are shown on each device.
Left
Ready2× RTX 5090 64GB (PCIe)
Press Start above to generate the same answer on both devices.
Right
ReadyRTX PRO 6000 96GB
Press Start above to generate the same answer on both devices.
With these settings, RTX PRO 6000 96GB finishes the full answer About 1.2× faster.
Compare from input processing to completion of 117 token response.
Which one fits my needs?
Answer completion
RTX PRO 6000 96GB
At the estimate midpoint, it finishes the same answer about 1.2× faster.
Prompt processing
RTX PRO 6000 96GB
The estimated input-processing midpoint is higher at 929 tok/s.
Image and video generation
Check the media model
LLM speed does not tell you media-generation performance. Choose the image or video model and resolution separately.
Runtime
Settings for your hardware
llama.cpp CUDA · Q4_K_M · GPU split into 2 pieces / llama.cpp CUDA · Q4_K_M. When runtime paths differ, the speed gap also includes software and model-format differences.
Estimated power draw
RTX PRO 6000 96GB
Estimated LLM power draw is lower at about 650 W. Noise and physical size need a separate check.
Local pricing
2× RTX 5090 64GB (PCIe) is the price of 2 GPUs, RTX PRO 6000 96GB is the price of GPU separately. For individual GPUs, you need to add the cost of the main body before comparing.
Before choosing hardware
| Measure | 2× RTX 5090 64GB (PCIe) | RTX PRO 6000 96GB |
|---|---|---|
| Available fast memory | 61GB | 93GB |
| Memory bandwidth | 3584GB/s | 1792GB/s |
| Estimated total time | 28 s | 22 s |
| Estimated sustained LLM load | about 1100W | about 650W |
| Korean price range (KRW) | 1,798–1,858 × KRW 10,000 | 2,550–2,647 × KRW 10,000 |
Estimated ranges for one user. Multi-GPU and multi-device results depend on the runtime and interconnect.
One 96GB card and two 32GB cards need different setups
The PRO 6000 fits a broader range on one GPU. Two 5090s require splitting the model or assigning requests separately. For one model's response, check the splitting runtime and inter-card connection. For a multi-user server, independent models on each card are another option.
Budget beyond the card prices
Two 5090s may require a new PSU, case or motherboard in addition to the cards. The PRO 6000 also needs suitable power and cooling. Use the card prices and power figures below, then add the parts your existing PC actually needs to compare total cost.
Test the large model and your everyday model
Even if a large model fits, long waits on the smaller everyday model can disrupt work. Compare a model that fits both and one that fits only one because of capacity. This clarifies whether you are paying for the PRO 6000's memory or dual-5090 execution performance.