Which host systems, operating systems, and AI frameworks are supported by this AI module?

It supports x86 and ARM host architectures, Windows, Linux, and Android operating systems, and works with Keras, TensorFlow, TensorFlow Lite, PyTorch, and ONNX.

What AI performance does the ASUS UGen300 M2 AI Module deliver, and what chipset is it based on?

It is based on the Hailo-10H chipset and delivers up to 40 TOPS at INT4 or 20 TOPS at INT8.

Questions & Answers: ASUS UGen300 M2 AI Module, Hailo-10H, 8GB LPDDR4, PCIe3 x4, M.2 Key-M 2280, Compatible with Windows/Linux/Android, x86 & ARM

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ASUS UGen300 M2 AI Module, Hailo-10H, 8GB LPDDR4, PCIe3 x4, M.2 Key-M 2280, Compatible with Windows/Linux/Android, x86 & ARM

PCIe M.2 Key-M form factor for seamless integration into compact systems - optimized for vision models and GenAI (LLM, VLM)
Edge AI accelerator supporting both classic AI and generative AI workloads
Powered by Hailo-10H chipset delivering up to 40 TOPS (INT4) at just 2.5W typical power draw
8GB LPDDR4 onboard memory for local, offline AI inference
M.2 Key-M 2280, PCIe3 x4 lane interface
Access to 150+ pre-trained models via online model zoo (LLM, VLM, Whisper, vision networks, and more)
Cross-platform: supports x86 and ARM architectures on Windows, Linux, and Android
Compatible with major AI frameworks - TensorFlow, TensorFlow Lite, Keras, PyTorch, and ONNX

$259^.99 –