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Models / Intern-S1-Pro
GPU memory needed (smallest version of each): Intern-S1-Pro ~917B about 1025.4 GB. The cheapest runs on 8x Nvidia H200 from $44.03/h right now.
1 model (~917B) · ↓ 2K downloads a month · from $44.03/h on 8x Nvidia H200 right now. Each model's versions do the same job; quantized ones (AWQ, FP8, 4-bit) need less GPU memory and run on cheaper machines.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalinternlm/Intern-S1-Pro | vLLM | 919 GB | 1025.4 GB | $44.03/h 8x Nvidia H200 |
Model details come from Hugging Face and are refreshed daily; prices follow the live offers. GPU memory is GridPup's estimate: the weights, room for an 8,192-token conversation (chat models) and the runtime's own memory. Large models are split across the GPUs of one machine ("4x RTX 4090").