Benchmarking the most powerful AI models for your monster rig
The largest commercially available language model with 128 billion parameters.
State-of-the-art text-to-image model with 8B parameters for photorealistic generations.
Open-source model competitive with GPT-3.5, optimized for multi-GPU inference.
With dual RTX 5090s, ensure proper case airflow and consider liquid cooling for sustained boost clocks.
Use tensor parallelism to split large models across both GPUs since NVLink isn't available.
With 128GB RAM, you can cache datasets in memory for faster training iterations.
Monitor your power draw closely - dual 5090s can spike over 1000W under full load.
| Model | Tokens/sec | Images/min | VRAM Usage | Thermals |
|---|---|---|---|---|
| GPT-4 128B | 12-18 | N/A | 56GB |
|
| SD XL | N/A | 24-30 | 16GB |
|
| LLaMA 2 70B | 22-28 | N/A | 40GB |
|