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.
Our AI-accelerated difference
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.
Bring edge AI to a wide range of simpler, smaller and more cost-effect
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.
Efficiently convert power into AI intelligence with minimal energy
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
Edge AI-supported devices
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
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.
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.
Audio
Use audio AI to analyze sound to recognize speech, identify music, detect anomalies and enhance audio quality in real-time.
Expanding our capabilities with our trusted AI partners
Our edge AI partners offer specialized products and services to help you solve problems and get to market faster.
Find additional resources to get started
TI Edge AI Studio: free software development tools for edge AI designs
From smart cameras to robotics, TI's free Edge AI Studio development tools simplify edge AI development, bringing the power of AI to developers everywhere.
How edge AI-accelerated Arm® Cortex®-M0+ MCUs bring more brain power to electronics (Rev. A)
This white paper explores TI microcontrollers (MCUs) with integrated neural processing units (NPUs) provide hardware acceleration for edge AI, helping designers deploy sophisticated neural network models for real-time, localized sensor data processing in power-constrained, cost-sensitive applications.
Achieving edge AI-enabled motor control in industrial automation and smart home appliance designs (Rev. A)
This white paper explores Local AI models in systems for humanoid robots and appliances can continuously monitor parameters and adjust performance based on real-world conditions without requiring cloud connectivity or additional discrete components.
Increasing Intelligence at the Edge With Embedded Processors (Rev. A)
This white paper explores the purpose and advantages of edge artificial intelligence (AI), and how advancements in embedded processors and software are making AI easier than ever to implement in a variety of applications.