Model compilation and optimization
Compiles and optimizes deep learning models for Hailo devices using the Dataflow Compiler, including translation from common frameworks into an executable Hailo binary format.
Hailo AI Software Suite is an Edge AI SDK and deployment toolkit for compiling, optimizing, and running AI models on Hailo processors. It supports vision and generative AI workflows across Hailo vision processors and AI accelerators.
Hailo AI Software Suite is Hailo’s Edge AI SDK and deployment toolkit for building and running AI applications on Hailo processors. It combines model compilation, optimization, runtime inference, model libraries, and example applications in one software stack.
The suite is designed to work with Hailo’s AI vision processors and AI accelerators, supporting deployment on Hailo hardware and, in accelerator-based setups, on host processors such as x86 and ARM. Its workflow covers model translation, quantization and optimization, inference execution, and application integration for vision and generative AI use cases.
Compiles and optimizes deep learning models for Hailo devices using the Dataflow Compiler, including translation from common frameworks into an executable Hailo binary format.
Provides HailoRT as a production-grade runtime with C/C++ and Python APIs for inference, data transfer, and device control.
Includes Model Zoo Vision and Model Zoo GenAI collections for pre-trained and precompiled models that help teams prototype and integrate faster.
Offers Model Explorer tools for vision and GenAI so developers can browse, filter, and compare models before deployment.
Supports integration paths such as GStreamer, ONNX Runtime, REST APIs, and Yocto Layer packaging for embedded and application workflows.
Use the Dataflow Compiler and HailoRT to translate and deploy models for real-time inference on Hailo hardware in production environments.
Use the Model Zoo Vision, Model Explorer Vision, and example applications to test computer vision tasks and speed up prototyping on supported devices.
Use the GenAI model resources, REST-compatible interfaces, and runtime support to build on-device generative AI workflows.
Use the Yocto Layer, runtime libraries, and device control tools to fit Hailo software into embedded Linux-based product builds.
Use the GStreamer plugin, ONNX Runtime support, and Python or C/C++ APIs to connect Hailo inference into existing application pipelines.
Hailo’s software stack is built around model compilation, optimization, and runtime inference on Hailo devices. The AI Software Suite includes the Dataflow Compiler, HailoRT, Model Zoo, Model Explorer tools, and example applications.
The suite supports Hailo vision processors directly, and it also supports deployment on host processors such as x86 and ARM when using Hailo AI accelerators.
The source highlights TensorFlow and ONNX model workflows, plus common runtime and pipeline integrations such as GStreamer, ONNX Runtime, and REST APIs for GenAI workflows.
Hailo’s public pricing page does not show plan details or prices. The site instead routes users to product inquiry, sign-in, and developer-zone access for software and documentation.