Hi everyone,
I have a couple of questions regarding what the Hailo-8 accelerator is optimized for. I asked them on Hailo’s website but I was sent on this forum for answers.
I recently purchased a Raspberry Pi 5 for a personal project involving LLMs. I initially thought about acquiring the AI Hat+ before realizing that it is not optimized for LLMs inference, but rather for computer vision tasks. I got this information from various forums but none explained the technical details as to why.
For another project I have at work currently, I want to run an object detection model on a micro computer, with a video stream coming from a single camera.
I was thus wondering if the Hailo-8 is optimized for any object detection model, even the ones comprising attention-based blocks (DETR for example or latest YOLOs I think).
My questions:
- What makes the Hailo-8 accelerator not suitable for LLMs? I have read that it is due to the number of parameters (several billions) that is too big. Is it only that or the actual nature of the architecture?
- Is the Hailo-8 optimized for all types of object detection models including attention-based ones?
I don’t know the other Hailo products so don’t hesitate to point me to other ones.
Many thanks in advance
Cheers
Antoine