Overview
Description
The open-source TAO for AI training and optimization delivers everything you need, putting the power of the world’s best Vision Transformers (ViTs) in the hands of every developer and service provider. Users can create state-of-the-art computer vision models and deploy them on any device—GPUs, CPUs, and MCUs—whether at the edge or in the cloud. NVIDIA TAO, built on TensorFlow and PyTorch, uses the power of transfer learning while simultaneously simplifying the model training process and optimizing the model for inference throughput on practically any platform. NVIDIA TAO is deployable on RZ/V2H, RZ/V2L, and RA8D1 by leveraging Renesas’ built-in intuitive GUI tool to accelerate development with best practices.
Features
- Train Models Efficiently: Use TAO’s AutoML capability to eliminate the need for manual tuning and get to your solutions faster.
- Build Highly Accurate AI: Use SOTA Vision Transformer and NVIDIA pretrained models to create highly accurate and custom AI models for your use case.
- Optimize for Inference: Go beyond customization and achieve up to 4X performance by optimizing the model for inference.
- Deploy on Any Device: Deploy optimized models on GPUs, CPUs, MCUs, and more.
Comparison
Applications
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Software
Software & Tool Pages
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Software type
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Company
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| Renesas AI Model Deployer for Vision AI The Renesas AI Model Deployer is an intuitive graphical user interface (GUI) tool integrated with NVIDIA’s powerful TAO Toolkit.
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Solution Toolkit | Renesas |
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Videos & Training
News & Blog Posts
Blog Post
Jun 17, 2025
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