🚀 Elevate your AI edge game with Waveshare’s Hailo-8 M.2 Accelerator!
The Waveshare Hailo-8 M.2 AI Accelerator Module delivers 26 TOPS of AI inferencing power in a compact, energy-efficient design. Compatible with Raspberry Pi 5 and supporting Linux and Windows, it enables real-time, multi-model AI processing on edge devices. Featuring a PCIe to M.2 adapter and robust temperature tolerance (-40°C to 85°C), it’s engineered for versatile, high-performance AI applications.
| 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 | 1.76 ounces |
| Package Dimensions | 4.1 x 3.1 x 1.1 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
3 недели назад
3 недели назад
