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Get started in minutes

Intro to Edge AI

Learn about running AI models directly on embedded devices in real-time.
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Quick Start with SL-Series

Get started with Quick Tutorials and embark your Edge AI journey with Machina Dev Kits.
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Evaluate Models for SR-Series

Evaluate your models for High-Performance SR-Series AI MCUs.
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Models ready to go

Get your project started in minutes with the optimized models preinstalled on Synaptics Astra

• Image Classification

• Image Segmentation

• Face Detection

• Object Detection

• Image Processing

• Pose Estimation

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Edge AI efficiency

The hardware-aware SyNAP compiler targets the exact NPU or GPU resources available on-chip, which can significantly improve inference speed. There are also advanced optimization options, such as mixed-width and per-channel quantization.

Bring your own model

Have a different model you'd like to bring? Target it to Astra's on-chip NPU or GPU with one command:

• ONNX

• PyTorch

• TensorFlow Lite

$ synap convert --target {$CHIP_MODEL} --model example.onnx

$ synap convert --target {$CHIP_MODEL} --model example.torchscript

$ synap convert --target {$CHIP_MODEL} --model example.tflite

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Reference Docs

🤖 SyNAP AI Toolkit

Deep dive into the SyNAP toolkit for building NPU-accelerated apps on SL-Series.
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⚙️ Advanced Optimization

Learn how to convert your existing AI models to run on Synaptics Astra SL-Series.
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💻 Astra SL SDK

Get started with the Synaptics Astra SL-Series SDK documentation.
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Astra Developer Zone