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// RUN ON DATACENTER GPU
Run Krea 2 Open-Source on Datacenter GPU hardware
13 options with enough VRAM (FP16), ranked by headroom.
| Hardware | VRAM | Fits FP16? | Headroom | ~Price |
|---|---|---|---|---|
| AMD Instinct MI325X → | 256 GB | yes | ~210 GB | — |
| NVIDIA B200 → | 192 GB | yes | ~151.1 GB | — |
| AMD Instinct MI300X 192GB → | 192 GB | yes | ~151.1 GB | ~$15,000 |
| NVIDIA H200 → | 141 GB | yes | ~104.2 GB | — |
| Intel Gaudi 3 → | 128 GB | yes | ~92.3 GB | — |
| NVIDIA RTX PRO 6000 Blackwell → | 96 GB | yes | ~62.8 GB | ~$8,500 |
| NVIDIA H100 SXM5 80GB → | 80 GB | yes | ~48.1 GB | ~$30,000 |
| NVIDIA A100 SXM4 80GB → | 80 GB | yes | ~48.1 GB | ~$15,000 |
| NVIDIA H100 PCIe 80GB → | 80 GB | yes | ~48.1 GB | ~$25,000 |
| NVIDIA A100 PCIe 80GB → | 80 GB | yes | ~48.1 GB | ~$12,000 |
| NVIDIA RTX 6000 Ada 48GB → | 48 GB | yes | ~18.7 GB | ~$6,800 |
| AMD Radeon Pro W7900 48GB → | 48 GB | yes | ~18.7 GB | ~$3,999 |
| NVIDIA L40S 48GB → | 48 GB | yes | ~18.7 GB | ~$10,000 |
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 Datacenter GPU hardware can run Krea 2 Open-Source?▶
On GenAIList, 13 Datacenter GPU GPUs have enough VRAM to hold Krea 2 Open-Source at FP16 — the most headroom is on the AMD Instinct MI325X (256 GB).
How fast is Krea 2 Open-Source on Datacenter 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.