









🚀 Elevate your Raspberry Pi 5 with AI power that keeps its cool!
The Waveshare Hailo-8 M.2 AI Accelerator Module combines a cutting-edge 26 TOPS Hailo-8 AI processor with a PCIe to M.2 adapter, designed specifically for Raspberry Pi 5. Featuring a compact, stackable form factor with advanced cooling support and real-time power monitoring, it delivers robust AI acceleration for applications like generative AI, security, and industrial automation on Linux and Windows platforms.










| ASIN | B0D9298XL5 |
| Are Batteries Included | No |
| Best Sellers Rank | 52,347 in Computers & Accessories ( See Top 100 in Computers & Accessories ) 480 in Motherboards |
| Brand | Waveshare |
| Customer Reviews | 4.1 4.1 out of 5 stars (9) |
| Date First Available | 9 July 2024 |
| Graphics Card Interface | PCI Express |
| Guaranteed software updates until | unknown |
| Item Weight | 54 g |
| Item model number | Hailo-8 Acce A |
| Manufacturer | Waveshare |
| Memory Technology | DDR4 |
| Number of Ethernet Ports | 4 |
| Number of USB 2.0 Ports | 4 |
| Package Dimensions | 10.6 x 8.1 x 2.7 cm; 54 g |
| Processor Socket | BGA |
| Series | Hailo-8 Acce A |
| Wireless Type | 802.11b |
G**A
Performance really as good as the website says
J**A
Not exactly what I thought but still very interesting and there still a lot to learn It is well made and from reliable manufacture
S**6
It can be difficult to source these modules so this is a great way to get one. I installed mine on my Docker server running Ubuntu on a late-generation Intel CPU, and it drastically accelerated and increased the accuracy of workflows like speech-to-text, visual object recognition, and text-to-speech. Driver install, firmware updates, and software configuration is not for the novice, but otherwise this product has been able to process intensive object detection using XL vision models from multiple 4K cameras, and process speech synthesis and decomposition, all at the same time. I can't recommend it enough.
S**Z
Failing to detect. No solutions found online. Tried trouble shooting directly through hailo developer zone installation instructions.
A**L
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.
Trustpilot
Hace 3 días
Hace 1 mes