🚀 Power your edge AI with the future-proof Hailo-8 accelerator!
The Waveshare Hailo-8 M.2 AI Accelerator Module delivers ultra-efficient AI inferencing at 26 TOPS with just 2.5W power consumption. Compatible with Raspberry Pi 5 and supporting Linux and Windows, it enables scalable multi-model processing in extreme temperature ranges (-40°C to 85°C). Ideal for professionals seeking high-performance, low-latency AI on edge devices, it supports all major AI frameworks and comes with a PCIe to M.2 adapter for easy integration.
| RAM | LPDDR4X, LPDDR4 |
| Wireless Type | 802.11b |
| Number of USB 2.0 Ports | 4 |
| Brand | waveshare |
| Series | Hailo-8 Acce A |
| Item model number | Hailo-8 Acce A |
| Item Weight | 1.9 ounces |
| Package Dimensions | 4.17 x 3.19 x 1.06 inches |
| Manufacturer | Waveshare |
| ASIN | B0D9298XL5 |
| Date First Available | July 8, 2024 |
J**A
It's the start of a cluster rack
Not exactly what I thought but still very interesting and there still a lot to learn It is well made and from reliable manufacture
D**.
8H is for vision applications, not generative AI/LLMs
Just to be clear: The Hailo-8H is generally for accelerating object identification in vision tasks like door/drone cameras. It is not used for accelerating generative AI, and might never be used for that purpose if the proprietary devkit doesn't become easier to use. The Hailo-10H is for genAI, it has been expected for a long while, released in the past few weeks and should be more widely available soon.
A**L
Great item, cost effective way to get this Hailo module.
I purchased this for just the Hailo module. It worked perfectly in an M.2 NVME slot when passed through to a VM with proxmox (note you do have to enable custom VM settings to get it wokring). I have kept the M2 pi hat has i plan to use that with my PI for a nvme drive.
S**Z
Doesn’t work
Failing to detect. No solutions found online. Tried trouble shooting directly through hailo developer zone installation instructions.
Trustpilot
2 months ago
1 month ago
