Product Summary
AI Inference Accelerator Hailo-8™
This is a chip with an architecture specialized for AI processing.
Because it is dedicated to AI processing, the data pool and computing unit can be placed in a small area.
Therefore, it is possible to achieve processing with low latency and low power consumption without using external I/F or I/O.
As a result of the evaluation, compared to general-purpose GPUs, the area was reduced to one-fifteenth and the power consumption efficiency was 20 times higher.
In FPS comparison, performance is 1.1 times higher. (Results of our survey)
Reference architecture
The layout within the chip holds the key to improving performance.
General-purpose GPUs have separate data pools and computing units, and use external I/Fs (interfaces) and I/Os, so performance and power consumption tend to drop.
Hailo has an optimal layout and is packed into a small area, making it a highly efficient device that can be specialized for AI inference.
Available in various form factors
M.2
・Hailo-8™
・PCIe Interface
・M.2 2242 M-Key, B+M Key
◦2260 & 2280 mechanical compliant
・M.2 2230 A+E Key
Mini PCIe
・Hailo-8™
・PCIe Interface
・mPCIe 3050
○Evaluation boards can also be provided
[Demo video] I tried running YOLOv5 with Hailo+Intel Atom®
This is a video of running YOLOv5 on an Intel Atom® processor using Hailo, an AI accelerator.
Even models that were difficult to operate with Intel Atom® alone are now able to operate by implementing Hailo.
Reference material
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