Running Phi-3-vision via ONNX on Jetson Platform
Unlock the potential of NVIDIA's Jetson platform by running the Phi-3-vision model in ONNX format. Dive into the seamless process of compiling onnxruntime-genai, setting up the environment, and executing high-performance inference tasks on low-power devices like Jetson Orin Nano. Discover how to utilize quantized models efficiently, enabling robust image and text dialogue tasks, all while keeping your GPU workload-optimized. Whether you’re working with FP16 or Int 4 models, this guide will walk you through each step, ensuring you harness the full capabilities of edge AI on Jetson.Visual Studio AI Toolkit : Building Phi-3 GenAI Applications
Port Forwarding, a valuable feature within the AI Toolkit, serves as a crucial gateway for seamless communication with the GenAI model. Whether it's through a straightforward API call or leveraging the SDKs, this functionality greatly enhances our ability to harness the power of the LLM/SLM. By enabling Port Forwarding, a plethora of new scenarios unfold, unlocking the full potential of our interactions with the model.
