Nemotron is an open-source AI model developed by NVIDIA. It can be deployed on-premises with the right GPU hardware for private, secure AI inference.

How much VRAM does Nemotron require?

VRAM requirements for Nemotron depend on the quantization level. Full-precision models need more VRAM, while quantized versions (Q4, Q5, Q8) can run on consumer GPUs. See our VRAM requirements table for specific recommendations.

Can I run Nemotron locally?

Yes. Nemotron can be run locally using frameworks like Ollama or vLLM. Petronella Technology Group builds GPU-accelerated workstations and servers optimized for local AI model deployment.

What GPU do I need for Nemotron?

The recommended GPU depends on the model size and quantization. For smaller quantized versions, an AMD Radeon or NVIDIA RTX GPU with 16-24 GB VRAM may suffice. For full-precision or larger variants, enterprise GPUs like the AMD Instinct MI300X or NVIDIA A100 are recommended.

Does Petronella help deploy Nemotron?

Yes. Petronella Technology Group provides end-to-end AI deployment services including hardware selection, system configuration, model optimization, and ongoing support. Contact us to discuss your Nemotron deployment needs.

Open-Source AI Model

Nemotron

Name: Nemotron
Author: NVIDIA

Developed by NVIDIA

Local AI Deployment Experts 24+ Years IT Infrastructure GPU Hardware In Stock

Key Capabilities

Purpose-built for NVIDIA GPU optimization
Nemotron-4 340B Reward Model for RLHF training
Synthetic data generation for model training pipelines
Llama-3.1-Nemotron-70B: instruction-tuned for helpfulness
Deep integration with NVIDIA NeMo framework

VRAM Requirements by Quantization

Choose the right GPU based on your performance and quality needs.

Model / Quantization	VRAM Required
8B FP16	16GB
70B FP16	140GB
340B FP16	680GB

Use Cases

Nemotron (8B, 51B, 340B (Nemotron-4), 70B (Llama-3.1-Nemotron)) can be deployed for enterprise AI applications including document processing, code generation, data analysis, and conversational AI. License: NVIDIA Open Model License (permissive, commercial use).

Run Nemotron with Petronella

PTG deploys Nemotron as the NVIDIA-native AI model optimized for NVIDIA hardware. Get maximum performance from your NVIDIA investment with models designed to leverage CUDA, TensorRT, and NeMo.

Recommended Hardware

Model Size	Recommended GPU
8B	RTX 5080 (16GB)
70B Nemotron	RTX PRO 6000 Blackwell (96GB)
340B	DGX B200/B300 or multi-node cluster

Deploy Nemotron On-Premises

Our team builds GPU-accelerated systems configured and optimized for Nemotron. Private, secure, and fully under your control.

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Nemotron

⚡Key Capabilities

📌VRAM Requirements by Quantization

🚀Use Cases