Hailo-8™ M.2 2280 B+M key

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Want to add highly efficient AI performance to your UP Squared Pro/UP Squared V2/UP Squared 6000/UP Squared Pro 7000/UP Xtreme i11/UP Xtreme i12 (Compatible UP Products)?
The compatible UP products can be paired with the latest Hailo-8 M.2 2280 module, offering up to 26TOPS (actual performance depends on the host platform and inference model used).
Power your AI development to meet next generation demands and step up your UP Products performance with the best-in-class AI processor on a module.
Purchase Hailo-8™ M.2 2280 B+M key AI module together with UP board level products through ‘add-on’ section with discount, or use ‘Add to Cart’ to purchase the Hailo-8™ M.2 2280 B+M key AI module to your existing UP compatible products.
Note: Support for the Hailo-8™ M.2 2280 B+M key AI module is provided only in combination with the UP compatible products (UP Products that are validated with the Hailo-8™ module).
Register to watch webinar recording on-demand to know more about Hailo with UP compatible platforms!
Learn about the hardware and software that is helping to streamline development and deployment of AI applications.
• Curious how an AI module delivers 26 TOPS at just 2.5 watts?
• Struggling about your AI development progress?
• Looking for a sample application that can speed up your project?
Dimension : 22x80mm via breakable extension
Product Details
Name Hailo-8™ M.2 2280 B+M key
IC Hailo-8™ Artificial Intelligence Processor
Interface PCIe Gen 3.0, 2 lanes (up to 16 Gbps)
Form Factor M.2 2280 (B+M)
Support Framework TensorFlow and ONNX
Compatible OS Ubuntu 20.04
Compatible UP product UPS Pro, UPS v2, UPS 6000, UPS Pro 7000, UPX i11 and UPX i12 boards
Environmental & Certification
Cooling Passive cooling (fanless)
Operating Temperature -40℃ − 85℃
Net Weight 150 g
Gross Weight 500 g
Package dimension (L x W x H) 140 x 90 x 45 mm

Hailo’s Structure-Defined Dataflow Architecture

Hailo delivers multiple innovations, addressing the fundamental properties of neural networks:

Innovative control scheme based on a combination of hardware and software reaches very low joules/operation with a high degree of flexibility
Distributed memory fabric with purpose-built pipeline elements that allows very low-power memory access in neural network processing
Extremely efficient computational elements that can be applied variably, as needed
Dataflow-oriented interconnect adapts to the structure of the neural network and allows high resource utilization
Hailo Dataflow Compiler – Full-stack software co-designed with the hardware architecture of the neural network processor enables efficient deployment of neural networks developed with seamless integration to existing frameworks

How it works?




Compatible UP Product Details


Tuitorial Hailo N/A N/A Download
pdf Hailo FCC pdf 250.5 KB Download
pdf Hailo CE pdf 254.2 KB Download
pdf Hailo-8 EU DOC pdf 133.6 KB Download
pdf Hailo Datasheet pdf 244.1 KB Download
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