High Performance. Future-Proof. Empowering Next-Gen AI

High Performance. Future-Proof. Empowering Next-Gen AI

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Toradex, a leading embedded systems solutions provider, has launched its newest family of pin-compatible and scalable System on Modules (SoMs) – Aquila.

Aquila is tailored for demanding applications in the fields of medicalindustrial and robotics. Engineered with a focus on rugged durability, future-proof scalability, and power efficiency, it integrates cutting-edge AI and machine learning capabilities alongside a modern software stack to expedite time-to-market and effortlessly adapt to evolving security regulations.

Aquila is not just about meeting today’s requirements but powering the potential of tomorrow.

“With Aquila, we’re thrilled to push the boundaries of embedded computing. We’ve leveraged extensive market research and invaluable customer feedback to develop this highly powerful yet cost-effective solution for high-performance applications. Aquila represents our unwavering commitment to innovation and customer satisfaction, delivering unmatched performance, reliability, and value.” said Samuel Imgrueth, CEO of Toradex.

Key Features:

  • High-Performance Real-Time Computing: Aquila delivers exceptional computing power, rivaling traditional x86 platforms and proprietary GPU-accelerated hardware, making it ideal for applications executing computationally intensive workloads.
  • AI and Machine Learning Optimized: With built-in high-performance deep learning accelerators, Aquila SoMs enable seamless integration of artificial intelligence capabilities into embedded systems; unlocking new possibilities for intelligent automation, predictive analytics, LLM, computer vision applications, and more.
  • Industrial Reliability: From the mechanical design and component selection to continuous testing, the Aquila form factor and Aquila SoMs are engineered for long-term reliability; making those a trusted choice for mission-critical applications.
  • Power Efficiency: Featuring power-efficient Arm® cores and optimized dedicated Deep Learning Accelerators, Aquila SoMs deliver exceptional performance with a small thermal footprint, reducing energy costs and enabling passive cooling designs.
  • Cost Optimization: Offering a superior alternative to expensive x86 and other GPU-accelerated hardware, Aquila SoMs provide for cost-effective solutions for high-performance computing and machine learning in embedded applications, ensuring a low total cost and minimal maintenance requirements.
  • Easy-to-use and LTS-maintained Software: Aquila SoMs seamlessly integrate with Torizon, Toradex’s Linux-based software platform, streamlining development, monitoring, and updating processes‍‍‍. Toradex Linux support simplifies compliance with new security regulations such as the EU Cyber Resilience Act (CRA)

Toradex Aquila AM69 System on Module

Introducing Aquila AM69

The first SoM in the new series is the Aquila AM69, which is based on the Texas Instruments (TI) AM69A Arm-based processor.

  • TI AM69A processor: Aquila AM69 is powered by the TI AM69A Arm-based processor, known for its exceptional performance and reliability
  • Exceptional Performance and for demanding applications: With 8x Arm Cortex-A72 cores and a 32 TOPS deep learning accelerator, Aquila AM69 is the ideal solution for embedded applications requiring the highest performance and low power consumption. Featured Applications include:
    • High-Performance Edge Computing
    • Artificial Intelligence (AI) and Machine Learning (ML)
    • Computer/Machine Vision and Image Processing
    • Automated and Autonomous Vehicles and Robots
    • High-Resolution HMIs
    • Real-time Processing and Control
    • and more
  • With modern high-speed interfaces and about 400 pins, the Aquila AM69 provides the connectivity and power required for harsh industrial environments, all based on a rugged board-to-board connector, with up to 30W TDP.

For more information on the Aquila AM69 and to get the latest updates, see https://www.toradex.com/computer-on-modules/aquila-arm-family/ti-am69.

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About mixos

Mike is the founder and editor of Electronics-Lab.com, an electronics engineering community/news and project sharing platform. He studied Electronics and Physics and enjoys everything that has moving electrons and fun. His interests lying on solar cells, microcontrollers and switchmode power supplies. Feel free to reach him for feedback, random tips or just to say hello :-)

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