AI Hardware

Hailo

Edge AI processors and accelerator modules for vision workloads

About Hailo

Hailo designs AI accelerators for edge devices, offered as M.2 and PCIe modules and as vision processors for cameras. Its Hailo-8 and newer parts target low-power inference in cameras, vehicles and industrial gear.

Common use cases

  • Smart cameras
  • Industrial inspection
  • In-vehicle AI
  • Robotics

Social listening

What people are saying about Hailo

Hands-on hardware reviews note solid vision acceleration and low power on Raspberry Pi hardware, and buyers typically plan for LLM speed expectations and software setup on the newer chip.

What stands out

  • A hands-on review found vision models run smoothly and faster than the host CPU alone.
  • Onboard memory keeps host RAM needs low, and power draw during LLM inference was lower than CPU-only.

Things to consider

  • Best suited to vision workloads; worth testing LLM token generation speed and model size for your use.
  • Plan time for tooling setup (Docker for web UI, Python versions) and allow adequate SD card storage.

Often compared with: Rockchip RK1820/RK1828

Sources (2)

Themes summarized from public reviews, community discussion and press coverage as of November 2026. They reflect public discussion, not a rating or an endorsement by AI Connect.

Products and services

Hailo-8 and Hailo-8L

Edge inference accelerators.

Hailo-10H

Accelerator for generative AI at the edge.

Hailo-15

Vision processors for smart cameras.

Dataflow Compiler

Software to compile models.

Recent product updates

  • Hailo-10H powers the Raspberry Pi AI HAT+ 2, adding LLM and VLM support with its own onboard memory (reviewed January 2026).

Key features

  • Low-power inference
  • M.2 modules
  • Vision SoCs
  • Model compiler
  • Model zoo
  • Automotive options

Integrations

  • TensorFlow
  • PyTorch
  • ONNX
  • Raspberry Pi

Hailo alternatives

FAQs

What form factors does Hailo offer?

M.2 and PCIe accelerator modules, and SoCs for cameras.

Which frameworks are supported?

TensorFlow, PyTorch and ONNX models through its compiler.

Who buys Hailo products?

Camera, automotive and industrial device makers.

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