• 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

PCIe card brings edge AI acceleration to developers

Powered by BrainChip’s AKD1500 edge AI coprocessor, the AKD1500 PCIe development card enables developers to run models built with existing AI frameworks. The card plugs into a standard PCIe slot in a desktop, workstation, industrial PC, or single-board computer, providing access to the AKD1500’s self-learning capabilities for edge AI development.

The AKD1500 coprocessor chip uses the Akida neuromorphic processing engine to deliver up to 800 effective GOPS at <1 mW/GOP for low-power AI neural network acceleration. Its built-in capacity for on-device learning allows for secure application personalization without needing a cloud connection or extensive retraining.

The PCIe development card complements the AKD1500’s other deployment options, including an M.2 module, packaged and unpackaged silicon, and licensable IP. Developers can test their own models with streaming data on a PC, then deploy the validated models on AKD1500 hardware without modification.

Available through BrainChip’s online store, the AKD1500 PCIe development card is priced at $149.

AKD1500 PCIe product page

BrainChip Holdings 

The post PCIe card brings edge AI acceleration to developers appeared first on EDN.

23 September 2026
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 whdsolutions2026-09-23 22:14:242026-09-23 22:14:24PCIe card brings edge AI acceleration to developers

Latest news

  • Creating higher voltages, part 2: Voltage multipliers23 October 2026 - 13:21
  • Hacking a network switch for management enhancements22 October 2026 - 13:57
  • AMD defines rack-scale infrastructure for agentic AI21 October 2026 - 19:45
  • Processor IP brings generative AI to edge devices21 October 2026 - 19:45
  • Rad-tolerant GaN converter powers space electronics21 October 2026 - 19:45
  • MCUs accelerate multimodal edge AI21 October 2026 - 19:45
  • Altera extends Agilex FPGAs to defense systems21 October 2026 - 19:45
  • Clustered-bit PWM DAC pedals and settles in a “unicycle”21 October 2026 - 13:41
  • Automotive sensor power supply without a switching pre-regulator20 October 2026 - 13:21
  • SFP: The multimode module autopsy19 October 2026 - 13:59
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: Sensors extend current measurement to 100 A Link to: Sensors extend current measurement to 100 A Sensors extend current measurement to 100 A Link to: How did antennas get so small? Link to: How did antennas get so small? How did antennas get so small?
Scroll to top Scroll to top Scroll to top