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Hailo-10H M.2 AI Acceleration Module

Part No: HM22HB2C2XBE
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The Hailo-10H M.2 AI Acceleration Module (HM22HB2C2XBE) delivers up to 40 TOPS INT4 / 20 TOPS INT8 of on-device AI performance in a compact M.2 2242 Key M form factor with 4GB LPDDR4/4X memory. Using a PCIe Gen 3.0 x4 interface, this industrial-grade edge AI accelerator is designed for generative AI, computer vision, LLMs, VLMs, video analytics and other advanced AI workloads at the edge..

Datasheet
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  • Special Features
  • Specification

The Hailo-10H M.2 AI Acceleration Module HM22HB2C2XBE is a high-performance edge AI accelerator starter kit designed for systems that require local processing of demanding generative AI and computer vision workloads.

 

Powered by the Hailo-10H AI processor, the module delivers up to 40 TOPS with INT4 workloads and 20 TOPS with INT8 workloads. This processing capability enables advanced neural networks to run directly on edge systems with reduced dependence on cloud infrastructure.

 

The HM22HB2C2XBE variant uses a compact M.2 2242 Key M form factor and includes 4GB of LPDDR4/4X memory on the module. The dedicated memory interface allows the Hailo-10H platform to support larger neural-network models and generative AI applications that require more memory than conventional vision-only accelerators.

 

Host communication is provided through a PCIe Gen 3.0 x4 interface, offering high-speed data transfer between the accelerator and the host processor. The module supports x86 and ARM-based host architectures, allowing it to be integrated into industrial PCs, embedded computers, edge servers and other compatible AI platforms.

 

Hailo-10H is specifically designed to handle both vision AI and generative AI workloads. Typical use cases include large language models, vision-language models, Stable Diffusion-type applications, intelligent video analytics, computer vision, smart assistants and advanced embedded AI applications.

 

The module uses Hailo's second-generation structure-driven dataflow architecture, designed to efficiently distribute neural-network operations across the accelerator. This enables high AI compute performance while maintaining low power consumption.

 

Typical power consumption is approximately 2.5 W, making the Hailo-10H suitable for edge systems where power efficiency and thermal management are important design considerations.

 

The Hailo software ecosystem supports widely used AI frameworks including TensorFlow, TensorFlow Lite, Keras, PyTorch and ONNX. Supported operating systems include Linux, Windows and Android, providing developers with flexibility when deploying AI applications across different edge platforms.

 

The industrial-grade Hailo-10H M.2 platform supports an operating temperature range of -40°C to +85°C, making it suitable for industrial automation, smart infrastructure, transportation systems, robotics and other demanding edge environments.

 

By performing inference locally, the HM22HB2C2XBE can help reduce network latency, bandwidth requirements and reliance on cloud-based AI services while supporting responsive, private and continuously available AI applications.

  • Up to 40 TOPS INT4 AI performance

  • Up to 20 TOPS INT8 AI performance

  • Manufacturer Part Number: HM22HB2C2XBE

  • Powered by the Hailo-10H AI processor

  • Compact M.2 2242 Key M form factor

  • Integrated 4GB LPDDR4/4X memory

  • PCIe Gen 3.0 x4 host interface

  • Typical power consumption of approximately 2.5 W

  • Designed for generative AI and computer vision

  • Supports large language models

  • Supports vision-language models

  • Suitable for image-generation and multimodal AI workloads

  • Second-generation Hailo neural-network architecture

  • Supports simultaneous multi-model processing

  • Compatible with x86 and ARM host architectures

  • Supports Linux, Windows and Android

  • Compatible with TensorFlow, TensorFlow Lite, Keras, PyTorch and ONNX

  • Industrial operating temperature from -40°C to +85°C

  • Designed for low-latency edge inference

  • Helps reduce cloud dependency and bandwidth requirements

  • Standard M.2 interface simplifies system integration

Specification Details
Manufacturer Hailo Technologies
MPN HM22HB2C2XBE
Processor Hailo-10H
AI Performance INT4 Up to 40 TOPS
AI Performance INT8 Up to 20 TOPS
Module Type M.2 AI Acceleration Module / Starter Kit
Form Factor M.2 2242
Key M
On-Module Memory 4GB LPDDR4/4X
Host Interface PCIe Gen 3.0 x4
Host Architecture Support x86, ARM
Operating Systems Linux, Windows, Android
AI Frameworks TensorFlow, TensorFlow Lite, Keras, PyTorch, ONNX
Typical Power Consumption Approx. 2.5 W
Operating Temperature Min. -40°C
Operating Temperature Max. +85°C
Primary Workload Generative AI / Vision AI / Neural Network Inference
Deployment Type Edge / Embedded AI