What are the hardware requirements for Nemotron 3 Labs Ultra Math RL?

Nemotron 3 Labs Ultra Math RL requires approximately 204.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nemotron 3 Labs Ultra Math RL and how large is it?

Nemotron 3 Labs Ultra Math RL is developed by nvidia, a model with 550b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Nemotron 3 Labs Ultra Math RL?

Nemotron 3 Labs Ultra Math RL is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nemotron 3 Labs Ultra Math RL by nvidia — VRAM 204.9GB, 256K context

Name: Nemotron 3 Labs Ultra Math RL
Author: nvidia

Nemotron 3 Labs Ultra Math RL is an open-source language model by nvidia. Features: 550b LLM, VRAM: 204.9GB, Context: 256K, License: other, LLM Explorer Score: 0.31.

Arxiv:2609.10712 Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot... Conversational Custom code Dataset:nvidia/nemotron-math-p... En Endpoints compatible Latent-moe Mtp Nemotron-3 Nemotron h Nvidia Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-RL

Nemotron 3 Labs Ultra Math RL Parameters and Internals

LLM Name	Nemotron 3 Labs Ultra Math RL
Repository 🤗	https://huggingface.co/nvidia/Nemotron-3-Labs-Ultra-Math-RL
Base Model(s)	...emotron 3 Ultra 550B A55B BF16 nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
Model Size	550b
Required VRAM	204.9 GB
Updated	2026-09-11
Maintainer	nvidia
Model Type	nemotron_h
Model Files	5.0 GB: 1-of-225 5.0 GB: 2-of-225 5.0 GB: 3-of-225 5.0 GB: 4-of-225 4.9 GB: 5-of-225 5.0 GB: 6-of-225 5.0 GB: 7-of-225 5.0 GB: 8-of-225 5.0 GB: 9-of-225 5.0 GB: 10-of-225 5.0 GB: 11-of-225 5.0 GB: 12-of-225 5.0 GB: 13-of-225 5.0 GB: 14-of-225 5.0 GB: 15-of-225 5.0 GB: 16-of-225 5.0 GB: 17-of-225 5.0 GB: 18-of-225 5.0 GB: 19-of-225 5.0 GB: 20-of-225 5.0 GB: 21-of-225 5.0 GB: 22-of-225 5.0 GB: 23-of-225 5.0 GB: 24-of-225 5.0 GB: 25-of-225 5.0 GB: 26-of-225 5.0 GB: 27-of-225 5.0 GB: 28-of-225 5.0 GB: 29-of-225 5.0 GB: 30-of-225 5.0 GB: 31-of-225 5.0 GB: 32-of-225 5.0 GB: 33-of-225 5.0 GB: 34-of-225 5.0 GB: 35-of-225 5.0 GB: 36-of-225 5.0 GB: 37-of-225 5.0 GB: 38-of-225 5.0 GB: 39-of-225 5.0 GB: 40-of-225 5.0 GB: 41-of-225
Supported Languages	en
Model Architecture	NemotronHForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Vocabulary Size	131072

Rank the Nemotron 3 Labs Ultra Math RL capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

Best Alternatives to Nemotron 3 Labs Ultra Math RL

Best Alternatives	Context / RAM	Downloads	Likes
...motron 3 Ultra 550B A55B NVFP4	256K / 63.1 GB	240041	277
...emotron 3 Ultra 550B A55B BF16	256K / 204.9 GB	493863	308
...motron 3 Ultra 550B A55B NVFP4	256K / 63.1 GB	103	5
Nemotron 3 Labs Ultra Math SFT	256K / 85.9 GB	510	4
...motron 3 Ultra 550B A55B GenRM	256K / 219.9 GB	2666	11
...on 3 Ultra 550B A55B Base BF16	256K / 209.9 GB	1005	29
Nemotron 3 Ultra 550B A55B	256K / 144.3 GB	473	2
...emotron 3 Ultra 550B A55B Base	256K / 209.9 GB	23	2
...DIA Nemotron 3 Ultra 550B A55B	256K / 204.9 GB	19	1
...B Abliterated Uncensored NVFP4	256K / 63.1 GB	582	5

Note: green Score (e.g. "73.2") means that the model is better than nvidia/Nemotron-3-Labs-Ultra-Math-RL.