Hailo AI Accelerators
A Hailo accelerator adds on-device TetherX AI analytics to a TetherBox without a graphics card. TetherBox detects the accelerator automatically and enables AI analytics when it is available.
| Accelerator | TetherX AI capacity |
|---|---|
| Hailo-8L (13 TOPS) | Up to 4 cameras |
| Hailo-8 (26 TOPS) | Up to 8 cameras |
| Hailo-10H (40 TOPS) | Up to 8 cameras |
Note: These capacities assume AI analytics run at 1 megapixel, such as a 720p sub-stream.
For other accelerators, including NVIDIA graphics cards, see Hardware Specifications. On a Raspberry Pi 5, use the Raspberry Pi AI Hat+ or AI Hat 2 described in Raspberry Pi TetherBox.
PCIe Accelerator Example
For a rackmount or tower TetherBox running video models such as YOLO, the Delock 31416 PCI Express x8 Hailo-8 AI Accelerator (opens in a new tab) is one example. It is a low-profile PCIe Gen3 x8 card with two Hailo-8 processors and 52 TOPS of stated inference performance.
Interface Requirements
Hailo accelerators connect over PCIe. Choose the module or card and motherboard together; a physical slot alone does not guarantee the required lane count.
| Accelerator | Host interface requirement | Practical installation |
|---|---|---|
| Hailo-8 M.2 | PCIe Gen3 x4, M.2 Key-M | Install directly in an M.2 Key-M socket or use a PCIe-to-M.2 Key-M adapter in a x4-or-wider slot. |
| Hailo-10H M.2 | PCIe Gen3 x4, M.2 Key-M | Install directly in an M.2 Key-M socket or use a PCIe-to-M.2 Key-M adapter in a x4-or-wider slot. |
| Delock 31416 dual Hailo-8 | PCIe Gen3 x8 | Install in a PCIe x8-or-wider slot. |
Warning: Do not plan a Hailo-8 or Hailo-10H deployment around a PCIe x1 slot. Hailo-8L has different, lower lane requirements; it is not interchangeable with the Hailo-8 or Hailo-10H modules above.
Note: The host and chassis must provide the required slot, physical clearance and cooling. Confirm that the selected TetherX AI workload supports scheduling across both processors before treating the two processors as double the per-camera capacity.
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