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Technologies
Edge AI

Edge AI technology

Lower latency. Lower energy consumption. Limitless applications.

Read the whitepaper

Edge AI is transforming embedded systems – and TI provides the foundation to make physical AI possible. Deploy edge AI across applications with our portfolio of AI-enabled microcontrollers (MCUs), processors, wireless connectivity and radar sensors backed by comprehensive software and tools. Whether building intelligent sensors, predictive maintenance systems, or autonomous vehicles, we solve the constraints that matter: response times, power consumption, performance, development complexity, memory footprint, and cost to transform data into real-time decisions. 

 

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Our AI-accelerated difference

Faster response time

Decisions happen in milliseconds at the edge

With our TinyEngine™ NPU integrated into TI MCUs, you can achieve 10 to 90 times lower latency, enabling faster real-time decision-making directly on the device.

Energy efficient

Bring edge AI to a wide range of simpler, smaller and more cost-effective applications.

Reduce inference energy by more than 120 times with TinyEngine™ NPU compared with CPU-based implementation enabling ultra-efficient AI processing. The result is extended battery life and always-on performance without compromising responsiveness.

Power efficient

Efficiently convert power into AI intelligence with minimal energy consumption

Up to 1200 TOPS while optimizing performance per watt on high-performance processors with integrated C7™ NPU 

Choose your edge AI-enabled device

Edge AI-accelerated devices

Designed to execute neural networks efficiently, offloading compute-intensive inference from CPU to our proprietary NPUs
    

Edge AI-supported devices

Designed to enhance your edge AI system needing flexible, lower-complexity models and cost-optimized intelligence
  

Train, optimize and deploy AI models with CCStudio™ Edge AI Studio

Start development for your application with TI's all-in-one CCStudio™ Edge AI Studio ecosystem.

  • Easily capture high-quality data
  • Train and optimize your ideal model
  • Quickly prototype with a vast library of pre-trained models from TI's Model Zoo
  • Leverage open-source frameworks built-in supporting PyTorch, TensorFlow and ONNX

 

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Explore use cases for your edge AI application

Monitoring & Control

Use real-time monitoring and control AI to analyze data collected at specific time intervals to forecast future values, detect anomalies and identify patterns for predictive maintenance.

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Perception

Enable devices to interpret data from cameras and sensors to understand the physical world. By running AI locally, systems can detect objects, recognize patterns and respond in real time enabling applications like smart cameras, defect detection and safety monitoring.

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Audio

Use audio AI to analyze sound to recognize speech, identify music, detect anomalies and enhance audio quality in real-time.

 

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