Hailo Software Suite
A Complete and Scalable Development & Runtime Software Suite
Hailo devices are accompanied by a comprehensive AI software suite that enables the compilation of deep learning models and the implementation of AI applications in production environments. The model build environment seamlessly integrates with common ML frameworks to allow smooth and easy integration in existing development ecosystems. The runtime environment enables integration and deployment in x86 and ARM based products.
Hailo Software Suite includes the following key components
- Hailo Dataflow Compiler, for offline compilation and optimization of user’s models for Hailo devices
- HailoRT Runtime Software, a package running on the host processor for real-time inferencing in production platforms with Hailo devices
- Hailo TAPPAS, a high-performance pre-trained AI applications and tasks templates with production-grade pipeline
- Model Zoo, a variety of common and state-of-the-art pre-trained models and tasks in TensorFlow and ONNX
Model Build Environment
OS IP Stack
- 4x Hailo-8 M.2 22X42 mm Acceleration Modules on a 16-lane PCIe Gen 3 adapter board
- Dimensions: 111mm x 210mm
- Standard PCIe form factor enters slot with no auxiliary power requirement
- Deliver up to 104 TOPS of AI performance at a typical power consumption of 25W
- Best-in-class PCI AI acceleration card – better performance than GPU, at lower power and lower cost
- Dedicated enablement S/W package and AI developer tools, with out-of-the-box support for state-of-the-art NN models
- Designed to enable development & prototyping of high-performance and efficiency real-time AI video analytics solutions, such as high-throughput Edge AI Boxes, dedicated video edge servers, industrial PCs and gateways
Hailo-8™ Century is also available as a reference design for our partners to design their own PCIe AI Accelerator cards with up to 6 Hailo-8™ AI Processors.
- Hailo-8™ Century Evaluation Platform performance figures are measured at room temperature for INT8
- Nvidia T4 figures are for INT8, batch=8. Source: https://developer.nvidia.com/deep-learning-performance-training-inference
Breathe life into your edge products
with the Hailo-8™ AI processor
Hailo-8TM Starter Kit is available now!
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