• Become a member
  • Log In
The Institution of Electronics
  • Home
  • About us
    • Our Objectives
    • Our History
    • Governance of the Institution
  • The Electron Magazine
    • 2024
      • 2024 – Winter
      • 2024 – Spring
      • 2024 – Summer
      • 2024 – Autumn
    • 2025
      • 2025 – Winter
      • 2025 – Spring
      • 2025 – Summer
      • 2025 – Autumn
    • 2026
      • 2026 – Winter
      • 2026 – Summer
  • Members
    • Membership Grades and Fees
    • Members’ Resources
      • The Electron Newsletter
      • The Archives
  • Education and Projects
    • National Electronics Competition
    • Student Members’ Projects
    • Arkwright Engineering Scholarships
  • News
  • Contact Us
  • Menu Menu
Uncategorised

Platform speeds AI from prototype to production

Purpose-built for Lantronix Open-Q system-on-modules (SOMs), EdgeFabric.ai is a no-code development platform for designing and deploying edge AI applications. According to Lantronix, it helps customers move AI from prototype to production in minutes instead of months, without needing a team of AI experts.

The visual orchestration platform integrates with Open-Q hardware and leading AI model ecosystems, automatically configuring performance across Qualcomm GPUs, DSPs, and NPUs. It streamlines data pipelines with drag-and-drop workflows for AI, video, and sensors, while delivering real-time visualization. Prebuilt templates support common use cases such as surveillance, anomaly detection, and safety monitoring.

EdgeFabric.ai auto-generates production-ready code in Python and C++, making it easy to build and adjust pipelines, fine-tune parameters, and adapt workflows quickly.

Learn more about the EdgeFabric.ai platform here. For details on Open-Q SOMs, visit SOM solutions. Lantronix also offers engineering services for development support.

Lantronix

The post Platform speeds AI from prototype to production appeared first on EDN.

2 October 2025
http://institutionofelectronics.ac.uk/wp-content/uploads/2022/12/IOE_LOGO.png 0 0 whdsolutions http://institutionofelectronics.ac.uk/wp-content/uploads/2022/12/IOE_LOGO.png whdsolutions2025-10-02 20:16:002025-10-02 20:16:00Platform speeds AI from prototype to production

Latest news

  • Measurement bandwidth9 October 2026 - 13:56
  • Practical design for a multi-output flyback converter with improved cross-regulation9 October 2026 - 08:50
  • The multi-gig Ethernet migration: Motivations and implementations8 October 2026 - 13:29
  • GaN FET meets megawatt-scale demands7 October 2026 - 20:15
  • FPGA IP accelerates deterministic networking7 October 2026 - 20:15
  • Microphone array advances acoustic detection7 October 2026 - 20:15
  • Quad beamformer simplifies X-band radar design7 October 2026 - 20:15
  • Global-shutter sensor raises pixel density7 October 2026 - 20:15
  • An unbuttoned circuit for setting digital pots7 October 2026 - 13:10
  • Training and inference: Two faces of AI compute7 October 2026 - 11:08
IOE LOGO 2

Become a member

click here

Become a member

click here

Become a subscriber

click here

Become a sponsor

click here

© Copyright - The Institution of Electronics | Website by WHD Solutions
  • Link to LinkedIn
  • Link to Facebook
  • Link to X
Link to: Co-packaged optics enables AI data center scale-up Link to: Co-packaged optics enables AI data center scale-up Co-packaged optics enables AI data center scale-up Link to: Dual-core MCUs drive motor-control efficiency Link to: Dual-core MCUs drive motor-control efficiency Dual-core MCUs drive motor-control efficiency
Scroll to top Scroll to top Scroll to top