Hailo
Company Information
Headquarters
Tel Aviv, Israel
Year Founded
2017
Industries
Semiconductors, Automotive, Security & Surveillance, Industrial Automation, Manufacturing, Smart Cities, Retail, Agriculture, Medical Devices, Consumer Electronics
What Is Hailo?
Hailo is an AI semiconductor company developing specialized processors and accelerators for edge AI. Its hardware is designed to execute neural networks directly on devices rather than relying primarily on cloud-based processing. Hailo’s portfolio includes AI accelerators and AI vision processors for applications involving computer vision, video analytics, generative AI, automotive systems, industrial equipment, smart cameras, and embedded computing. The company operates at the intersection of AI hardware, edge computing, and machine learning inference.
What Does Hailo Do?
Hailo develops processors, accelerator modules, vision processors, and supporting software that allow manufacturers and developers to run AI workloads locally on edge devices. Its processors handle neural-network inference for tasks including object detection, video analysis, image processing, and generative AI.
The technology can be integrated into cameras, computers, vehicles, industrial systems, robotics platforms, and other embedded devices. By performing computation locally, Hailo’s processors can provide low-latency AI inference while reducing the need to transmit data to remote cloud infrastructure. Hailo also provides software for compiling, optimizing, deploying, and running trained neural-network models on its hardware.
Hailo Technology
Hailo’s technology centers on a proprietary structure-defined dataflow architecture designed around the computational characteristics of neural networks. Rather than using a conventional general-purpose processor for AI workloads, its architecture distributes neural-network operations across specialized computing resources to support high-performance inference with relatively low power consumption.
The Hailo-8, for example, provides 26 TOPS of AI processing performance with typical power consumption of 2.5 watts. The newer Hailo-10H supports vision and generative AI workloads at the edge, providing up to 40 TOPS with INT4 operations.
Hailo also develops AI vision processors such as the Hailo-15H, which combines a neural-network processing subsystem with image signal processing, video encoding, DSP capabilities, and an ARM-based application processor. Its software ecosystem includes the Hailo Dataflow Compiler, HailoRT runtime, Model Zoo, and application-development tools. The software supports established machine-learning frameworks and model formats including TensorFlow, PyTorch, and ONNX.
Why Hailo Matters
Hailo is relevant to the broader shift from cloud-centered AI toward AI processing directly on physical devices. Applications such as smart cameras, autonomous systems, industrial equipment, and vehicles often require rapid responses without continuously sending large amounts of data to remote servers.
By designing dedicated AI processors for these environments, Hailo addresses important edge-computing requirements including latency, power efficiency, connectivity, and data privacy. Its expansion from computer-vision acceleration into generative AI also reflects a wider technology trend: increasingly capable AI models are moving from centralized data centers into embedded computers and everyday devices.
Hailo Products & Platforms
Hailo-8
Hailo-8 is an edge AI processor delivering 26 TOPS and designed for neural-network inference in embedded systems. It supports applications such as computer vision and multi-stream video analytics and is available as a chip and through several module configurations. Hailo lists industrial and automotive-grade implementations of the processor.
Hailo-8L
Hailo-8L belongs to the Hailo-8 accelerator family and provides a lower-power option for bringing AI inference to embedded and edge devices. It is used in compact computing platforms where local computer-vision processing is required. Hailo’s current software ecosystem maintains dedicated support for the Hailo-8 and Hailo-8L hardware family.
Hailo-10H
Hailo-10H is an AI accelerator designed for vision and generative AI workloads. It provides up to 40 TOPS using INT4 operations and supports onboard LPDDR4/4X memory. The processor is intended to enable local applications that would otherwise depend heavily on cloud AI infrastructure, including generative AI workloads.
Hailo-15
The Hailo-15 family consists of AI vision processors for intelligent cameras and other vision systems. The Hailo-15H integrates a 20-TOPS neural-network subsystem with image signal processing, video encoding, DSP processing, sensor interfaces, and an ARM application processor, allowing AI inference and camera processing to occur within the same device architecture.
Hailo Applications
Hailo processors are used for edge computer vision and AI inference across multiple industries. In automotive systems, Hailo hardware can provide neural-network acceleration for advanced driver-assistance and automated-driving functions. In security and smart-camera systems, the processors can analyze multiple video streams locally for object detection and other video analytics.
Other applications include industrial automation, robotics, retail analytics, embedded computing, and consumer devices. The Hailo-10H extends the company’s addressable applications into local generative AI, while the Hailo-15 family combines computer vision and image processing for AI-enabled cameras.
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Frequently Asked Questions
What is the difference between Hailo-8 and Hailo-10H?
Hailo-8 is primarily designed for high-performance neural-network inference at the edge and delivers 26 TOPS. Hailo-10H expands the architecture toward more demanding workloads, including generative AI, and provides up to 40 TOPS with INT4 operations.
Can Hailo processors run AI without a cloud connection?
Yes. Hailo processors are specifically designed to execute AI inference locally on edge hardware. Local processing can reduce latency and bandwidth requirements and allows supported applications to continue operating without continuous cloud connectivity.
Does Hailo support generative AI?
Yes. The Hailo-10H is designed to support both vision and generative AI workloads on edge devices, extending Hailo’s technology beyond its earlier focus on computer-vision inference.
What machine-learning frameworks work with Hailo?
Hailo’s software environment supports models developed with TensorFlow, TensorFlow Lite, Keras, PyTorch, and ONNX. Its Dataflow Compiler optimizes and translates trained neural networks for deployment on Hailo processors.
What is the Hailo Dataflow Compiler?
The Hailo Dataflow Compiler is part of Hailo’s software toolchain. It takes trained neural-network models and optimizes and translates them for execution on Hailo hardware, helping developers move models from standard AI development environments to edge deployment.
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