Falcon Lite AI accelerator
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Best efficient PCIe AI accelerator card powered by Hailo-8 AI processors
- Best-in-class performance and cost-efficiency
- Scalable, supports 1, 2 or 4 Hailo-8 AI processors
- High power efficiency, low power consumption
- Commercial and industrial grade support
- Enablement software package with advanced deep learning models and AI reference applications
- Hailo-8 Software Development Tools significantly reduce time to market for AI applications
Description
Product Details
Lanner’s Falcon Lite modular, PCIe form factor provides an easily deployable solution for engineers looking to offload CPU loading for lowlatency AI inference. With high-density AI processors, the Falcon Lite accommodates 1, 2, or 4 Hailo-8 AI Processors, offering a modular, cost-effective Edge AI solution with high processing capabilities and power efficiency. Through a standard PCIe interface, the Falcon Lite AI Accelerator Card enables legacy devices such as NVRs, Edge AI boxes, Industrial PCs and robots to run video-intensive, mission-critical Edge AI applications such as video analytics, traffic management, access control, and beyond.
Specifications
AI Performance
| Up to 106 TOPS |
AI Processor
|
1, 2 or 4 Hailo-8 AI processors with Hailo patented structure Defined Dataflow architecture |
AI Frameworks Support
|
Hailo AI Dataflow compiler with profiler and emulator Supports TensorFlow, ONNX and PyTorch frameworks |
PCIexpress Interface
| PCI Express x16/x8/x4 compliant with PCI Express specification v3.0 |
System Compatibility
|
Intel x86 or ARM Devices, Linux OS e.g., Ubuntu, Yocto Lanner Network and Edge AI Appliances |
Power Consumption
| Typical: 35 W |
Temperature
| Operating |
0 ~ 70ºC (commercial grade) -40 ~ 85ºC (industrial grade) |
| Storage | -40 ~ 85ºC |
Humidity
| 5% ~ 90% RH, non-condensing |
Dimension
|
167.64 mm x 64.4 mm (PCIE x16/x8) 119.9 mm x 64.4 mm (PCIE x4) |
Certification
| CE | Class A |
| FCC | Class A |