Deploy Llama-3_3-Nemotron-Super-49B-v1_5 on AMD/Nvidia GPU One-Click Setup 5-Minute Setup

Running this model locally is fastest when deployed through Docker.

Use the instructions provided below to complete the setup.

The client handles the setup, pulling gigabytes of data automatically.

During setup, the script automatically determines and applies the best settings tailored to your machine.

📘 Build Hash: 2d3b1dd52de3a93a5f1cdd4fd9925298 • 🗓 2026-06-27
  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: 100 GB for multi-modal model vision components
  • Graphics: 12 GB VRAM minimum required for basic quantization

The Llama-3_3-Nemotron-Super-49B-v1_5 is a large language model designed for both research and commercial applications, featuring a massive 49‑billion parameter architecture. It delivers state‑of‑the‑art performance on reasoning, coding, and multilingual tasks, achieving top scores on standard benchmarks such as MMLU and HumanEval. Thanks to optimized transformer layers and a sparse attention mechanism, the model maintains low inference latency while preserving high accuracy. The model is optimized for deployment on modern GPU clusters, offering scalable throughput and reduced memory footprint through quantization support. These characteristics make it a compelling choice for enterprises seeking high‑performance AI solutions without compromising on cost or speed.

Parameters 49 B
Context length 8 K tokens
Training data ≈1.5 TB text
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