Nemotron Nano 30B · NVIDIA
NVIDIA Nemotron Nano 30B with MoE architecture (3B active). Designed for fast inference with the quality of much larger models.
About Nemotron Nano 30B
NVIDIA Nemotron Nano 30B with MoE architecture (3B active). Designed for fast inference with the quality of much larger models.
Where it shines: Efficient MoE · NVIDIA-optimized speed · Reasoning.
How to use Nemotron Nano 30B
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Type or upload
Type what you want in the box above — or upload the file if the tool asks for one.
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Generate
Click the main button. Wait 2-30 seconds depending on the model and input size.
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Download or share
Download the result or share the direct link. No watermark, ready to use.
Frequently asked questions
How much does it cost to use Nemotron Nano 30B?
Nemotron Nano 30B is one of the free models in the catalog, each use discounts 10 tokens from your pool, but open models like Nemotron Nano 30B don’t cost us, so the rate-limit is generous. A free account comes with 500 initial tokens and 25 more every day — you usually don’t get to touch the card.
Is there a limit on the use of Nemotron Nano 30B?
There is no fixed monthly fee for Nemotron Nano 30B on the free account — the actual limit is the rate per minute/hour, not per month. Anonymous are limited by IP; with account you can do much more volume.If you reach 500+25 tokens and need more, a Pro plan at $9/month covers it.
What makes Nemotron Nano 30B special?
NVIDIA fine-tunes its models for fast inference on its own optimized hardware — good at technical questions and reasoning, its specific strengths are moe efficient, nvidia-optimized speed and reasoning.
How fast does Nemotron Nano 30B respond?
Nemotron Nano 30B is one of the fastest models in the catalog: typical responses in 2-5 seconds, the actual time also depends on the length of the prompt and the load of the datacenter — models with huge context take longer when you enter very long texts.
How do I use Nemotron Nano 30B in ia.gratis?
You can use Nemotron Nano 30B from /chat/ by selecting Nemotron Nano 30B in the picker, or via the REST API with `model=nemotron-nano` in the POST body. Quick summary: nVIDIA, optimized for speed. The internal model identifier is `nemotron-nano` — useful when integrating via API.