In order to get models to run smoothly on your computers, you are going to need the right hardware. AI accelerators are specialized hardware that improve speed and energy efficiency. The ASUS UGen300 is one of many AI accelerators you can use to optimize your AI workflow. It has a Hailo-10H chipset with 40 TOPS performance. It supports x86 and ARM platforms. It is compatible with Linux, Windows, and Android.
Unlike many other AI accelerators we have covered, this one doesn’t require you to open your computer to install it. It has over 150 pre-trained models to help you get started. It supports TensorFlow, Keras, PyTorch, and ONNX. Here are the main specs:
- Hailo-10H chipset: 40 TOPS (INT4)
- 8GB LPDDR4 Memory
- Windows, Linux, and Android support
- Frameworks: TensorFlow, TensorFlow Lite, Keras, PyTorch, and ONNX
- USB 3.1 Gen2 Type-C interface
- 2.5 watts power
This AI accelerator is ready for large language and vision language models. You can build a AI vision system with something like this with OpenClaw in seconds as the above video shows.
