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// RUN ON CONSUMER GPU
Run Krea 2 Open-Source on Consumer GPU hardware
4 options with enough VRAM (FP16), ranked by headroom.
| Hardware | VRAM | Fits FP16? | Headroom | ~Price |
|---|---|---|---|---|
| NVIDIA DGX Spark → | 128 GB | yes | ~89.7 GB | ~$3,999 |
| AMD Ryzen AI Max+ 395 → | 128 GB | yes | ~89.7 GB | ~$1,999 |
| NVIDIA GeForce RTX 5090 → | 32 GB | yes | ~3.9 GB | ~$1,999 |
| Intel Arc Pro B70 → | 32 GB | yes | ~3.9 GB | — |
VRAM fit at FP16 (lower precision needs less). We don't estimate generation speed for image/video/audio — it depends on tool, resolution and steps.
FAQ
What Consumer GPU hardware can run Krea 2 Open-Source?▶
On GenAIList, 4 Consumer GPU GPUs have enough VRAM to hold Krea 2 Open-Source at FP16 — the most headroom is on the NVIDIA DGX Spark (128 GB).
How fast is Krea 2 Open-Source on Consumer GPU hardware?▶
We don't estimate generation speed for image/video/audio models — it depends on the tool, resolution and step count. This page ranks by which hardware fits the model in memory.