Nemotron Parse models
1 Nemotron Parse model from NVIDIA on Hugging Face, from 957M to 957M parameters, published by NVIDIA in F32, with a 9,000-token context. The smallest official model, NVIDIA-Nemotron-Parse-v1.1, needs about 4.3 GB of VRAM at its published precision; the cheapest live fit is V100 at $0.088/hr.
Part of the Nemotron series
Pick a size
One row per official Nemotron Parse size: the VRAM it needs at each precision, the cheapest GPU that holds it today, and the KV cache for a 32K-token context.
| Model | Parameters | Native VRAM | FP8 VRAM | INT4 VRAM | Live GPU fit (native) | Est. $/hr | KV cache at 32K |
|---|---|---|---|---|---|---|---|
| NVIDIA-Nemotron-Parse-v1.1 | 957M | 4.3 GB | 1.1 GB | 0.5 GB | V100 | $0.088/hr | not published for this architecture |
VRAM is weights times a flat 1.2 overhead; the KV cache is a separate per-model figure at 16-bit, shown where the architecture is published. See the methodology.
Official models (1)
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| NVIDIA-Nemotron-Parse-v1.1 | 957M | F32 | 4.3 GB | V100 | $0.088/hr |
VRAM is for the precision the model is published in: the weights times a flat 1.2 overhead, with the KV cache not included. See the methodology. The fit shown is the lowest-priced single GPU type that holds the model at that precision, or the lowest-priced multi-GPU set (up to 8) when none does.
More from NVIDIA
- Parakeet (7 models)
- Nemotron 3 (17 models)
- Cosmos (6 models)
- Nemotron Nano (4 models)
- Nemotron Labs (4 models)
- Nemotron-H (3 models)
