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Running Ollama and Open WebUI containers on Jetson Nano with GPU Acceleration: A Complete Guide
- NVIDIA Jetson devices offer excellent GPU acceleration capabilities to run compute-intensive tasks like language model inference.
- Ollama brings the ability to manage and serve Large Language Models (LLMs) locally on Jetson devices and integrate with Open WebUI for an intuitive web interface.
- This guide provides a step-by-step overview on setting up Ollama and Open WebUI on Jetson Nano with optimal GPU utilization.
- Requirements include a 5V 4Ampere charger, 64GB SD card, WiFi adapter, wireless keyboard, and wireless mouse.
- The guide includes installation instructions for Jetson SD card image, Raspberry Pi Imager, curl package, and Ollama official installation script.
- The Ollama CLI provides commands to manage and interact with models successfully installed.
- Open WebUI complements Ollama with an intuitive web-based interface to manage and interact with LLMs.
- A bundled Docker image integrates both Open WebUI and Ollama, offering simplified setup via a single command.
- This guide showcases NVIDIA Jetson devices' power and versatility when combined with Ollama and Open WebUI for advanced AI workloads at the edge with efficiency.
- The setup provides a seamless and GPU-accelerated environment for running and managing LLMs locally on Jetson devices.
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