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ASUS IoT Unveils NVIDIA Jetson-Based PE1000N

ASUS IoT division has introduced the PE1000N, a compact device with a design perfectly tuned to achieve a functional fanless setup who uses the platform NVIDIA Jetson. This model is capable of offering a high level of performance working with AI, inference and deep learning tasks despite its small size, it is completely silent and can work without problems in environments with temperatures between -20 degrees and 60 degrees.

The ASUS PE1000N is configured by default with the platform NVIDIA Jetson NANOwhich equips an ARM Cortex-A57 quad-core CPU, 4 GB of LPDDR4 memory with a 64-bit bus and a Maxwell GPU with 128 CUDA cores.

The higher version uses the platform NVIDIA Jetson Xavier NX, which features an NVIDIA Carmel 6-core CPU and a Volta GPU with 384 CUDA cores and 48 Tensor cores, plus 8GB of LPDDR4X with a 128-bit bus. This configuration represents a very important jump compared to the previous one, and reaches 21 TOPs in INT8.

Finally we have a third configuration equipped with the Jetson TX2NX module, which positions as an intermediate option, since it is below the previous one. It has a 6-core CPU with two NVIDIA Denver (ARM) cores and four Cortex-A57 cores, it has 4 GB of LPDDR4 on a 128-bit bus and it has a GPU based on the Pascal architecture with 256 CUDA cores, the Turing’s predecessor.

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As for connectivity options, the ASUS PE1000N comes with two Gigabit Ethernet, has an HDMI 2.0b output, includes a micro-USB port, offers optional 4G LTE, has two nanoSIM slots and has USB 3.2 ports. Type-A. Integrate connectivity Wi-Fi 5 and Bluetooth, which facilitates its use in environments where wiring is minimal. We have no details on the sale price.

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