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// RUN ON DATACENTER GPU
Run Tensor-Transformer(1core)+PN (WT103) 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 → | ~145,704.2 | yes | 2672k | — |
| AMD Instinct MI325X → | ~96,717.5 | yes | 3570k | — |
| NVIDIA H200 → | ~87,422.5 | yes | 1956k | — |
| AMD Instinct MI300X 192GB → | ~85,433.8 | yes | 2672k | ~$15,000 |
| NVIDIA H100 SXM5 80GB → | ~61,013.6 | yes | 1099k | ~$30,000 |
| Intel Gaudi 3 → | ~55,769.6 | yes | 1773k | — |
| NVIDIA A100 SXM4 80GB → | ~37,136.4 | yes | 1099k | ~$15,000 |
| NVIDIA H100 PCIe 80GB → | ~36,426.1 | yes | 1099k | ~$25,000 |
| NVIDIA A100 PCIe 80GB → | ~35,242.2 | yes | 1099k | ~$12,000 |
| NVIDIA RTX PRO 6000 Blackwell → | ~32,637.7 | yes | 1324k | ~$8,500 |
| NVIDIA RTX 6000 Ada 48GB → | ~17,484.5 | yes | 650k | ~$6,800 |
| NVIDIA L40S 48GB → | ~15,736.1 | yes | 650k | ~$10,000 |
| AMD Radeon Pro W7900 48GB → | ~13,927.3 | yes | 650k | ~$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 Tensor-Transformer(1core)+PN (WT103)?▶
On GenAIList, 13 Datacenter GPU options can run Tensor-Transformer(1core)+PN (WT103) at Q4 — the fastest is the NVIDIA B200 at ~145,704.2 tok/s.
How fast is Tensor-Transformer(1core)+PN (WT103) on Datacenter GPU hardware?▶
Estimated generation speed ranges from ~13,927.3 to ~145,704.2 tok/s at Q4 (memory-bandwidth bound). Click any option for its full estimate and any measured numbers.