Nvidia Nemotron 3 Nano 30B A3b Bf16
Reason Fast. Scale Huge.
Unlock Nemotron Efficiency.
Hybrid MoE
3.5B Active Params
Activates 3.5B of 30B params per token in Nvidia Nemotron 3 Nano 30B A3b Bf16 for low-latency inference.
1M Context
Ultra-Long Sequences
Handles 1M tokens in Nvidia Nemotron 3 Nano 30B A3b Bf16 model, ideal for RAG and agents.
Top Benchmarks
Beats Qwen3 GPT-OSS
Outperforms rivals on MMLU-Pro, AIME, GPQA with Nvidia Nemotron 3 Nano 30B A3b Bf16 architecture.
Examples
See what Nvidia Nemotron 3 Nano 30B A3b Bf16 can create
Copy any prompt below and try it yourself in the playground.
Code Debug
“Analyze this Python function for bugs and suggest fixes: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2). Optimize for efficiency.”
Math Proof
“Prove that the sum of angles in a triangle is 180 degrees using Euclidean geometry axioms. Provide step-by-step reasoning.”
Document Summary
“Summarize key points from this 5000-word research paper on quantum computing advancements, focusing on error correction techniques.”
Agent Plan
“Plan a multi-step workflow for automating customer support: intake query, classify issue, retrieve knowledge base, generate response.”
For Developers
A few lines of code.
Reasoning LLM. One Call.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Nvidia Nemotron 3 Nano 30B A3b Bf16 on ModelsLab.