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// RUN ON DATACENTER GPU
Run ruDalle: Kandinsky 3.0 on Datacenter GPU hardware
13 options ranked by estimated speed at Q4 / 8k context.
| Hardware | Est tok/s | Fits 8k? | Max ctx | ~Price |
|---|---|---|---|---|
| NVIDIA B200 → | ~1,044.4 | yes | 1028k | — |
| AMD Instinct MI325X → | ~693.3 | yes | 1388k | — |
| NVIDIA H200 → | ~626.7 | yes | 742k | — |
| AMD Instinct MI300X 192GB → | ~612.4 | yes | 1028k | ~$15,000 |
| NVIDIA H100 SXM5 80GB → | ~437.3 | yes | 399k | ~$30,000 |
| Intel Gaudi 3 → | ~399.8 | yes | 669k | — |
| NVIDIA A100 SXM4 80GB → | ~266.2 | yes | 399k | ~$15,000 |
| NVIDIA H100 PCIe 80GB → | ~261.1 | yes | 399k | ~$25,000 |
| NVIDIA A100 PCIe 80GB → | ~252.6 | yes | 399k | ~$12,000 |
| NVIDIA RTX PRO 6000 Blackwell → | ~233.9 | yes | 489k | ~$8,500 |
| NVIDIA RTX 6000 Ada 48GB → | ~125.3 | yes | 220k | ~$6,800 |
| NVIDIA L40S 48GB → | ~112.8 | yes | 220k | ~$10,000 |
| AMD Radeon Pro W7900 48GB → | ~99.8 | yes | 220k | ~$3,999 |
Estimate at Q4 (memory-bound). Click any option for its full per-hardware estimate and measured numbers.
FAQ
What Datacenter GPU hardware runs ruDalle: Kandinsky 3.0?▶
On GenAIList, 13 Datacenter GPU options can run ruDalle: Kandinsky 3.0 at Q4 — the fastest is the NVIDIA B200 at ~1,044.4 tok/s.
How fast is ruDalle: Kandinsky 3.0 on Datacenter GPU hardware?▶
Estimated generation speed ranges from ~99.8 to ~1,044.4 tok/s at Q4 (memory-bandwidth bound). Click any option for its full estimate and any measured numbers.