Generative AI At The Edge?! Hailo Has You Covered
TLDRIn this video from Embedded World 2024, Amon from IP Exchange interviews Yan from Hailo, an Israeli AI startup. Hailo's AI accelerator focuses on power efficiency and performance for edge AI inference. The Halo8 module, featuring 26 TOPS at just 3 watts, runs inference on-device. Applications include smart cities, security, and vehicle detection. Yan also introduces the Halo 15, a smart camera chip. Hailo recently announced the Halo 10H, designed for generative AI at the edge, with potential applications in PCs, automotive, and industrial systems. Evaluation boards are available for engineers.
Takeaways
- 🚀 Hailo specializes in AI acceleration and inference at the edge, focusing on power efficiency and performance.
- 💡 Their first product is an AI accelerator on an M.2 module, offering 26 TOPS while consuming around 3 Watts.
- 🌍 Hailo's chips are designed for edge applications, keeping data on the device, ensuring security, and reducing cloud dependency.
- 🔍 Ideal use cases for Hailo's chips include smart cities, vehicle and pedestrian detection, facial recognition, and security systems.
- 🎥 The Hailo-15, their second product, integrates AI with a camera chip, making it suitable for smart camera applications.
- 🏙️ Applications like number plate recognition, traffic management, and security are key areas where Hailo's products excel.
- 🧠 Hailo is also targeting the industrial and automotive markets, focusing on AI-driven user interfaces and machine interactions.
- 🔧 Engineers can easily evaluate Hailo's technology using M.2 boards and Raspberry Pi for rapid prototyping.
- 🆕 Hailo recently announced the Hailo-10H, designed for generative AI applications at the edge, with more details to come later in the year.
- 📅 Hailo plans further announcements regarding Gen AI developments and promises future demos for evaluation.
Q & A
What is Hailo and when was it founded?
-Hailo is an Israel-based startup founded in 2017 that specializes in AI acceleration and inference at the edge, focusing on power efficiency and performance.
What product did Hailo first introduce, and what are its key features?
-Hailo's first product is an AI accelerator that is integrated into an M.2 module. It has 26 TOPS (Tera Operations Per Second), consumes around 3 watts on average, and can run AI inference at the edge.
What is the Hailo-8, and how does it function?
-The Hailo-8 is Hailo's first AI accelerator product, which operates over PCI Express with any SoC, including Intel and ARM platforms.
What is the Hailo-15, and what is its primary application?
-The Hailo-15 is Hailo's second-generation product, a smart camera chip that includes an ISP (Image Signal Processor), DSP (Digital Signal Processor), and AI capabilities. It is mainly used for applications like facial recognition, number plate detection, and smart city security systems.
What are the main applications of Hailo's chips?
-Hailo's chips are primarily used in smart cities for vehicle and pedestrian detection, security, and monitoring traffic junctions. They are also utilized in industrial and automotive user interfaces.
What does 'AI at the edge' mean in the context of Hailo's products?
-'AI at the edge' refers to running AI inference directly on devices rather than relying on cloud processing. This ensures higher performance, power efficiency, and data security by keeping data on the device's local memory.
What is the Hailo-10H, and why is it important?
-The Hailo-10H is a newly announced AI chip designed for generative AI (genAI) at the edge, which will be useful for applications in industrial user interfaces, automotive, and AI computers.
Which markets are Hailo targeting with the Hailo-10H?
-The Hailo-10H is targeting the PC market, automotive user interfaces, and industrial HMI (Human-Machine Interface) systems.
How does Hailo's technology improve user experiences in cars?
-Hailo's AI chips can enhance automotive user interfaces by enabling natural language interactions and other smart features, making in-car experiences more intuitive and interactive.
What evaluation options does Hailo offer for engineers who want to test their products?
-Hailo provides evaluation boards such as the M.2 module for easy integration with laptops, PCs, and other devices. They also support platforms like Raspberry Pi.
Outlines
🎤 Introduction and Overview of Halo AI Technology
Amon introduces Yan from Halo at Embedded World 2024. Yan discusses Halo's role as an Israel-based startup specializing in AI acceleration, focusing on inference at the edge for power efficiency and performance. He showcases their first product, an AI accelerator on an m.2 module with 26 TOPs performance using 3 watts of power. This module is ideal for running inference at the edge.
🔍 Applications and Use Cases of Halo AI Technology
Yan explains the ideal application spaces for Halo's chips, particularly for smart cameras in smart cities. He discusses their second-generation product, the Halo 15, which includes an ISP, DSP, and AI capabilities. This chip is well-suited for applications such as facial recognition, number plate recognition, and security, making it ideal for managing vehicle and pedestrian detection and enhancing safety in smart city infrastructures.
📊 Data Management and Edge Performance
The conversation turns to how Halo manages data at the edge. Yan explains that their technology enables data to be processed locally on the device’s memory, ensuring that sensitive data stays within the user's domain. This focus on edge computing provides higher performance and power efficiency while maintaining data security.
🆕 New Product Announcement: Halo 10h
Yan takes the opportunity to announce Halo’s new product, the Halo 10h, designed for generative AI (GenAI) at the edge. This product is particularly useful for applications in industrial user-machine interfaces, the PC market, and automotive user interfaces, where GenAI can improve interaction and functionality. While still in early stages, Yan hints at potential market applications.
💻 Evaluation and Demo Boards for Engineers
For engineers interested in testing Halo’s technology, Yan shares that their typical evaluation setup involves an m.2 board that can easily be used with a laptop, PC, or Raspberry Pi. He mentions the ease of setting up demos for GenAI applications and confirms more announcements will come later in the year, with plans for future demos and follow-up interviews.
👍 Closing Remarks
Amon wraps up the interview by thanking Yan and Halo for sharing their insights. Yan expresses gratitude, emphasizing Halo’s commitment to staying in touch for future updates and developments in AI technology. They close by encouraging engineers to check out Halo's products.
Mindmap
Keywords
💡Generative AI
💡AI Accelerator
💡Inference at the Edge
💡m.2 Module
💡Halo 8
💡Smart Camera
💡ISP and DSP
💡Edge Computing
💡HMI (Human-Machine Interface)
💡Evaluation Boards
Highlights
Halo, an Israel-based startup from 2017, has developed an AI accelerator focused on AI inference at the edge for power efficiency and performance.
Halo's AI accelerator is available in an m.2 module with 26 TOPS and operates with an average power consumption of 3 Watts.
The AI accelerator is designed to run inference at the edge, making it ideal for applications requiring low power consumption and high performance.
Halo8, the company's first product, works in combination with any SoC, such as Intel or ARM, over PCI Express.
Halo's second-generation product, Halo15, is a one-chip camera solution with integrated ISP, DSP, and AI capabilities for smart camera applications.
Smart city applications like number plate recognition, vehicle detection, pedestrian detection, and security systems are key use cases for Halo's AI solutions.
Halo's edge AI solutions ensure data security by keeping the memory and data on the device, minimizing cloud dependency.
The Halo 10h, recently announced, is specifically designed for running generative AI at the edge, catering to industrial applications and machine interfaces.
Generative AI applications are particularly relevant for user interfaces in cars, PCs, and embedded systems.
Halo's new product lines aim to enhance human-machine interaction (HMI) and natural language interfaces in industrial and automotive settings.
Halo offers an easy evaluation experience with an M.2 board, which is compatible with laptops, PCs, and platforms like Raspberry Pi.
The evaluation board can be easily integrated into existing setups, allowing engineers to quickly test Halo's AI solutions.
Halo's generative AI capabilities are designed to revolutionize how machines and humans communicate, beyond simple commands.
Future announcements will provide more information on the implementation of generative AI with the Halo 10h, expected later in the year.
Halo's AI solutions are ideal for engineers working on AI-enhanced embedded systems, PCs, automotive, and industrial interfaces.