News  |  Discover the Future of Intelligent Video Analytics: Theia A1 at the 2024 NAB Exhibition
Discover the Future of Intelligent Video Analytics: Theia A1 at the 2024 NAB Exhibition
2024-03-08

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With the world becoming increasingly reliant on video content, the need for intelligent video analytics has never been greater. Enter Theia A1: a high-performance 8K/4K Real Time Video AI Inference Accelerator Box that is revolutionizing the broadcast industry.


At its core, Theia A1 is empowered by Hailo-8 AI accelerator, delivering unparalleled AI performance with exceptional power efficiency. This fanless design ensures silent operation, making it ideal for broadcast environments where noise interference is unacceptable. Additionally, the low power consumption not only contributes to energy efficiency but also helps keep the device cool, ensuring reliable performance.


With 32TOPS of compute power, Theia A1 can handle anything from single stream 8K video to multi-stream 4K/1080 videos. It has the ability to facilitate up to 30 channels of Full-HD video for analytics, making it an invaluable tool for content creators. What’s more, its sleek and compact design makes it easy to install and deploy at the edge, wherever your content creation needs take you. Featuring a range of network and I/O interfaces, Theia A1 caters to a diverse array of application requirements. This includes 5G, WiFi, PoE, CAN Bus, GPIOs, and RS232/485/422, making it suitable for just about any broadcasting scenario.


Join us at the exhibition to witness how this advanced hardware platform for inference empowers neural network model developers and application/solution providers. Together, we can drive innovation and technological development in the field of artificial intelligence.


Meet NxVi at NAB 2024

Booth No.SU3056

13-17 April, 2024

Las Vegas, NV


About Hailo

Hailo, an AI-focused chipmaker, is developing specialized AI processors that enable data center-class performance on edge devices. Hailo’s processors are the product of a rethinking of traditional computer architecture, enabling smart devices to perform sophisticated deep learning tasks such as object detection and segmentation in real-time, with minimal power consumption, size, and cost. The processors are designed to fit into a multitude of smart machines and devices, impacting a variety of sectors including automotive, security, industry 4.0, and retail. 

 


↑  Meet us at the 2024 NAB Show

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