Hailo AI - AI Hardware Accelerator / Edge AI SDK

VISIT HAILO AI

Hailo AI Brief overview

Hailo AI is a hardware-and-software platform for running deep learning workloads directly on edge devices (for example: embedded systems, cameras, industrial boxes, and PCs with an accelerator module). Hailo’s focus is high-performance, low-power on-device AI inference, so workloads can run with low latency and without relying on constant cloud connectivity.

Hailo’s lineup includes accelerators such as Hailo-8 (up to 26 TOPS, typical 2.5W) and newer generative-AI oriented parts like Hailo-10H (quoted as 40 TOPS INT4 and designed to scale to larger models with a direct DDR interface).

To make deployment easier, Hailo pairs its devices with a full software suite that supports model compilation, runtime execution, and example applications for production-style pipelines.

How-to-use

1. Pick a hardware form factor
   • Example: a Raspberry Pi add-on like the Raspberry Pi AI HAT+, or an M.2 accelerator module.
2. Install/download Hailo software components
   • Get downloads and documentation via the Hailo Developer Zone (sign-in required).
3. Choose a model (or bring your own)
   • Use Model Zoo Vision (pre-trained CV models) or Model Zoo GenAI (precompiled generative models).
4. Compile/optimize the model for Hailo hardware
   • Use the Hailo Dataflow Compiler for offline compilation and optimization.
5. Run inference on the device
   • Use HailoRT (runtime + CLI/API) to load the compiled artifact and execute inference, often starting from Hailo’s example applications.

Hailo AI Key features and functions

• Edge-optimized accelerators: Hailo-8 targets real-time, low-latency inference with strong performance-per-watt (26 TOPS, ~2.5W typical).
• Generative AI support on edge: Hailo-10H is positioned for on-device GenAI and larger models (LLMs/VLMs/Stable Diffusion).
• Hailo AI Software Suite: A complete toolchain for compiling models and deploying applications in production environments.
• Model Zoo (Vision + GenAI):
  • Vision Zoo: common/state-of-the-art pre-trained models (TensorFlow/ONNX).
  • GenAI Zoo: curated precompiled models accessible via CLI and REST API, with stated compatibility for OpenAI and Ollama integrations.
• Runtime tooling (HailoRT): CLI and library APIs for controlling devices, running inference, and collecting runtime statistics/events.

Pricing

Hailo pricing depends heavily on the device/module, quantity, and distributor channel. Hailo’s site commonly routes purchasing through distributors or product inquiries rather than listing one universal price.

Practical reference points you can actually buy today:

• Raspberry Pi AI HAT+: listed by Raspberry Pi as “available now from $70” (13 or 26 TOPS variants exist).
• Hailo-8 M.2 module (example third-party retail pricing):
  • UP Shop lists a Hailo-8 M.2 2280 B+M-key module at $199.
  • Other retailers may list similar modules at higher prices (for example $239 has been listed for a Hailo-8 M.2 module).

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