What GPU do I need to run nvidia/Cosmos-Reason2-8B?
8.8B parameters, published in BF16. View on Hugging FaceGated
Cosmos-Reason2-8B is published by nvidia on Hugging Face, with 526,961 downloads and 214 likes to date. It's a Qwen3VLForConditionalGeneration model built for image-text-to-text, published natively in BF16, and gated: you'll need to accept the model's terms on Hugging Face before downloading weights.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 caveat: requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run Cosmos-Reason2-8B at its published (BF16) precision: 1× RTX 3090 on simplepod, at $0.160/hr per GPU ($0.160/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More nvidia models
- Gemma-4-31B-IT-NVFP4 (20.9B, BF16)
- parakeet-ctc-1.1b (1.1B, F32)
- NVIDIA-Nemotron-3-Super-120B-A12B-BF16 (123.6B, BF16)
- Cosmos-Reason2-2B (2.4B, BF16)
- nemotron-3.5-asr-streaming-0.6b (638M, F32)
- NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 (31.6B, BF16)
