Hailo-8

schematics

none

toolchain

partial (open runtime (HailoRT) + closed/registration Dataflow Compiler)

datasheets

brief (public briefs)

blobs

required (proprietary silicon + firmware)

retail

open_market (global modules)

form_factor

module (M.2 Key B+M accelerator card, also sold as bare silicon)

The Hailo-8 is proprietary silicon: HailoRT's runtime libraries are open source (MIT, with hailonet under LGPL 2.1), but the Dataflow Compiler needed to prepare models for the chip is closed and available to non-customers only by contacting Hailo. Hailo publishes no schematics, and its only public documentation is a brief data sheet rather than a full design reference.

• https://hailo.ai/products/ai-accelerators/hailo-8-ai-accelerator/ recorded 2026-06-22

  official product page: form factors, frameworks, software suite. Not re-fetchable - hailo.ai answers HTTP 403 to every automated request under every header set tried, so the source keeps its recorded read

• https://premio.blob.core.windows.net/premio/uploads/resource/data-sheet/Hailo-8/Hailo-8%20M.2%20Key%20B_M%20Datasheet%20Rev1.1.pdf recorded 2026-08-14

  Hailo's own "Hailo-8 M.2 AI Acceleration Module Data Sheet" Rev 1.1, publicly mirrored by distributor Premio - PCIe Gen 3 2-lane, NGFF M.2 Key B+M, TDP 8.65W, and the footer "Hailo proprietary - unauthorized reproduction prohibited"

• https://raw.githubusercontent.com/hailo-ai/hailo_model_zoo/master/README.rst recorded 2026-08-14

  "Install Hailo Dataflow Compiler and enter the virtualenv. In case you are not Hailo customer please contact hailo.ai" - the compiler half of the toolchain is customer-gated, while the Model Zoo itself "is released under the MIT license"

• https://raw.githubusercontent.com/hailo-ai/hailort/master/README.md recorded 2026-08-14

  "HailoRT uses 2 licenses - libhailort, pyhailort & hailortcli - distributed under the MIT license" and hailonet under LGPL 2.1; the PCIe driver "includes the Hailo-8 firmware that runs on the Hailo device"; developer-zone documentation "registration is required"

• https://www.waveshare.com/hailo-8.htm recorded 2026-08-14

  the module on open sale - "Hailo-8 M.2 AI Accelerator Module, based on the 26TOPS Hailo-8 AI processor", SKU 27812, $179.99, Add to Cart

Hailo-8 modules are stocked by independent distributors including Waveshare, Geniatech, AAEON/UP and Advantech, and HailoRT remains an active open-source project. Hailo also cites a large user base, but that figure comes only from the vendor.

• https://api.github.com/repos/hailo-ai/hailort recorded 2026-08-14

  HailoRT at 215 stars, 80 forks, last pushed 2026-08-11 - the active developer surface the note describes

• https://hailo.ai/products/ai-accelerators/hailo-8-ai-accelerator/ recorded 2026-10-08

  Vendor claim: "Robust software suite endorsed by >100K users and hundreds of customer products already in deployment."

• https://www.geniatech.com/product/aim-m-h8/ recorded 2026-10-08

  a second, independent module vendor shipping the same silicon - "Geniatech AIM-M-H8 is an M.2 AI acceleration module powered by the Hailo-8 NPU"

• https://www.waveshare.com/hailo-8.htm recorded 2026-08-14

  the module in open retail - SKU 27812, $179.99, Add to Cart, listed under Raspberry Pi 5 accessories

The Hailo-8 delivers 26 TOPS of CNN-focused inference at the edge, limited to models that fit its on-die memory. The newer Hailo-10H adds a DDR interface and generative-model support that the Hailo-8 lacks, keeping it a step below the frontier of the category.

• https://hailo.ai/products/ai-accelerators/hailo-10h-ai-accelerator/ recorded 2026-09-29

  Hailo-10H page: "The Hailo-10H is a high-performance edge AI accelerator designed to bring immersive generative AI capabilities directly to edge devices" with "40 TOPS (INT4)" and "LPDDR4/4X" memory.

• https://hailo.ai/products/ai-accelerators/hailo-8-ai-accelerator/ recorded 2026-09-29

  Hailo product page: "26 TOPS Performance with Fully Integrated Memory – No External DRAM Required" and "Best-in-class power efficiency with typical power consumption of 2.5W".

• https://www.geniatech.com/product/aim-m-h8/ recorded 2026-09-29

  Geniatech spec table: "Geniatech AIM-M-H8 is an M.2 AI acceleration module powered by the Hailo-8 NPU", with "AI performance" of "26 TOPS(INT8)" and memory listed as "Processor integration".

• https://www.waveshare.com/hailo-8.htm recorded 2026-08-14

  "AI performance 26 TOPS", "Power consumption 2.5W (Typ.) 8.65W (Max.)", "Interface PCIe Gen3, 4-lane"