NVIDIA Jetson 迁移至 SiMa.ai Modalix MLSoC 指南
NVIDIA Jetson to SiMa.ai Modalix MLSoC Migration Guide
SiMa.ai 发布技术指南，介绍如何将机器学习模型和应用从 NVIDIA/CUDA 环境迁移到其 Modalix MLSoC 与 Palette 软件栈。模型可导出为 ONNX 后由 Model Compiler 完成量化与编译，无需重新训练；应用侧使用 Palette Neat 适配，从预处理到 DeepStream。
AI 生成摘要 · 以原文为准
Practical steps for migrating models and applications from NVIDIA/CUDA workflows using the SiMa.ai Palette software stack.
By SiMa Technologies, Inc. 10.08.2026 0
This technical guide provides a practical framework for migrating machine learning models and applications from an NVIDIA/CUDA-based environment to the SiMa.ai Physical AI platform. It explains the key differences between the two deployment workflows, outlines the model and application migration processes, and identifies the technical considerations to address before deployment.
You’ll learn how to:
- Migrate models without retraining: export to ONNX and let the Model Compiler validate, quantize and compile the model for Modalix.
- Migrate the entire application: use Palette Neat to adapt your repository for Modalix, from preprocessing to DeepStream.
- Validate accuracy and performance: compare against NVIDIA, benchmark the full pipeline and complete the production-readiness checklist.
Inside the six-page guide:
- A five-step model migration path, from export through deployment
- A four-step application migration path with Palette Neat
- A side-by-side comparison of both deployment workflows
- Custom CUDA ops, TensorRT plugins and their Palette Neat replacements
- A 14-point checklist covering assessment, proof of concept and production readiness
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来源：EE Times · eetimes.com