AI Accelerator Hailo-10H for Enhanced Edge Computing Capabilities
The Hailo-10H, a second-generation AI accelerator, is making waves in the world of edge devices. This compact M.2 module offers high-efficiency, on-device AI inferencing with up to 40 TOPS (INT4) performance, making it a game-changer for applications demanding real-time, low-latency, and low-power AI processing.
Key Performance Capabilities
The Hailo-10H's compute power is impressive, capable of executing complex neural networks at the edge with ease. Its power efficiency is designed for ultra-low power consumption, making it suitable for embedded systems, IoT devices, and other resource-constrained environments.
One of the standout features of the Hailo-10H is its ability to run state-of-the-art deep learning models locally, without relying on cloud connectivity. This includes large vision-language models (VLMs) and generative models, enabling advanced scene understanding and interactive applications. The device also supports multi-modal workloads, handling vision analytics, generative AI, and multi-modal (vision + language) tasks.
Specific Use Cases
The Hailo-10H's generative AI capabilities are particularly noteworthy, as it is the first edge AI accelerator to execute immersive generative AI workloads directly on-device. This opens up possibilities for applications such as live large language model (LLM) chat, real-time text-to-image generation, and other generative tasks typically requiring cloud-scale compute.
In the realm of vision-language models, the Hailo-10H powers advanced models like Qwen2-VL (2 billion parameters), enabling applications like video search and indexing, visual question answering, and multi-modal chatbots. These models provide nuanced scene understanding, far surpassing traditional object detection or classification, and can interpret complex human behaviors and contextual triggers without task-specific training.
The Hailo-10H is ideal for smart cameras and video analytics, capable of processing multiple complex deep learning applications simultaneously, including object detection, activity recognition, and premium image enhancement—all with high efficiency and low latency.
In the automotive and industrial sectors, the Hailo-10H supports increasingly automated and intelligent vehicle functions, processing large volumes of sensor data in real time for advanced driver assistance systems (ADAS), autonomous driving, and in-cabin monitoring. It is also suitable for a broad range of enterprise and industrial IoT use cases, from security and surveillance to predictive maintenance and robotics, where low-power, high-performance, and reliable AI inferencing are critical.
Real-World Demonstration
A recent demonstration showcased the Hailo-10H running a 2-billion-parameter vision-language model (Qwen2-VL) entirely on the edge, performing tasks such as advanced video indexing and interactive visual question answering. The system demonstrated an ability to comprehend sophisticated human behaviors and respond to context without additional training, highlighting the device’s capability to move beyond basic object recognition to genuine scene intelligence.
Technical Ecosystem
The Hailo-10H is designed to work with high-performance, low-power memory solutions to maximize throughput and efficiency in demanding environments. Its modular design ensures compatibility with a wide ecosystem of edge devices, from industrial gateways to automotive systems and consumer PCs.
Conclusion
The Hailo-10H represents a significant leap in edge AI, delivering cloud-scale generative and multi-modal AI capabilities directly to devices with stringent power and latency requirements. Its specific use cases span generative AI, advanced vision-language understanding, real-time analytics, and automotive intelligence—all enabled by a combination of high compute density, ultra-low power consumption, and ease of integration. With its powerful generative AI capabilities, strong data privacy, and ability to run large language models and vision-language models entirely on-device, the Hailo-10H is set to redefine the possibilities of edge AI.
The Hailo-10H leverages technology to execute complex artificial-intelligence tasks at the edge, with its power efficiency designed for ultra-low power consumption in resource-constrained environments.
Due to its generative AI capabilities, the Hailo-10H can execute immersive generative AI workloads directly on-device, such as live large language model chat and real-time text-to-image generation.
