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NVIDIAReleased June 14, 2024

Nemotron 4 340B

Open Source340B parameters

Nemotron 4 340B is NVIDIA's entry in a crowded field. Context window: 0.004K tokens.

Context

4K

Input

Free (open)

Key Specifications

🏆

Arena Rank

Not disclosed

📐

Context Window

4K

📥

Input Price

per 1M tokens

Free (open)

📤

Output Price

per 1M tokens

Free (open)

🧠

Parameters

340B

🔓

Open Source

Yes

Best For

Synthetic data generationtraining pipelines

About Nemotron 4 340B

Nemotron 4 340B, developed by NVIDIA, is an open-source model with 340 billion parameters and a 4K token context window designed for synthetic data generation and AI training pipelines. The model excels at generating high-quality synthetic training data that can be used to train smaller, more efficient models. NVIDIA built Nemotron specifically to address the data bottleneck in AI development, where access to quality training data often limits model performance. The model demonstrates strong performance on general reasoning tasks while being particularly optimized for producing diverse, accurate synthetic datasets. Free and open-source, it can be deployed on NVIDIA GPU infrastructure. Nemotron 4 340B represents NVIDIA's strategy of contributing to the AI ecosystem beyond hardware, providing tools that make their GPU platforms more valuable for AI development workflows.

Pricing per 1M tokens

Input Tokens

Free (open)

Output Tokens

Free (open)

Frequently Asked Questions

What is Nemotron 4 340B?
Nemotron 4 340B, developed by NVIDIA, is an open-source model with 340 billion parameters and a 4K token context window designed for synthetic data generation and AI training pipelines. The model excels at generating high-quality synthetic training data that can be used to train smaller, more efficient models. NVIDIA built Nemotron specifically to address the data bottleneck in AI development, where access to quality training data often limits model performance. The model demonstrates strong performance on general reasoning tasks while being particularly optimized for producing diverse, accurate synthetic datasets. Free and open-source, it can be deployed on NVIDIA GPU infrastructure. Nemotron 4 340B represents NVIDIA's strategy of contributing to the AI ecosystem beyond hardware, providing tools that make their GPU platforms more valuable for AI development workflows.
How much does Nemotron 4 340B cost?
Nemotron 4 340B costs Free (open) per 1M input tokens and Free (open) per 1M output tokens. You pay only for what you use, which keeps costs predictable.
What is Nemotron 4 340B's context window?
Nemotron 4 340B has a context window of 4K tokens. This determines how much text the model can process in a single request — bigger windows mean longer documents and richer conversation history.
Is Nemotron 4 340B open source?
Yes, Nemotron 4 340B is open source. The model weights are publicly available, so developers can download, fine-tune, and self-host it. Open-source models give teams more control over data privacy and deployment.
What is Nemotron 4 340B best for?
Nemotron 4 340B is best suited for: Synthetic data generation, training pipelines. These use cases play to the model's strengths in capability, speed, and cost within NVIDIA's lineup.