Nemotron 70B — Local AI Model by NVIDIA

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 10 lipca 2026

NVIDIA's specialized fine-tune of Llama 3.1 70B. It tops many leaderboards for helpfulness and instruction following, significantly outperforming the base Llama model in alignment.

Hardware Requirements

Nemotron 70B Instruct Min 40 GB VRAM · Q4_K_M · 128,000 ctx · ollama run nemotron

Recommended GPU

The cheapest GPU that runs Nemotron 70B locally (min 40 GB VRAM) is the AMD Ryzen AI Max+ 395 (96 GB).

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

GMKtec EVO-X2 (Ryzen AI Max+ 395, 128GB)

Sugerowana cena premierowa: $2,349

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

How to Run Locally

Install Ollama then run: ollama run nemotron

Minimum VRAM: 40 GB. For best results use Q4_K_M quantization.

Nemotron 70B — Frequently Asked Questions

How much VRAM does Nemotron 70B need?

Nemotron 70B needs about 40 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Nemotron 70B Instruct (40 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Nemotron 70B on an RTX 4090 (24 GB)?

Nemotron 70B's smallest variant needs about 40 GB, which exceeds a single RTX 4090 (24 GB). Use multiple GPUs, a higher-VRAM card, or Apple Silicon with large unified memory.

What quantization should I use for Nemotron 70B?

Q4_K_M is the best balance of quality and VRAM for Nemotron 70B in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run Nemotron 70B with Ollama?

Install Ollama, then run: ollama run nemotron. This downloads Nemotron 70B and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.