Mixtile Core 3588E compatible with NVIDIA Jetson TX2 NX carrier boards: 18% OFF Now Available For Pre-orders
Mixtile, the IoT hardware solution provider, has announced Core 3588E as available for pre-orders. Mixtile Core 3588E is a high-performance, low-power System-on-Module (SoM) powered by the RK3588 chipset. Highlights of the product are an 8-core CPU, a 4-core GPU, and up to 6 TOPS performance. The module also has a 260-pin SO-DIMM edge connector compatible with NVIDIA Jetson TX2 NX carrier boards.
As an alternative to the Jetson TX2 NX, Core 3588E outperforms even the Jetson TX2 NX regarding video processing performance. Jetson TX2 NX can only decode 2x 4K@p60 videos and encode 1x 4K@p60 videos, while Core 3588E decodes 8K@p60 and encode 8K@p30. It can handle higher-resolution videos at much faster frame rates compared to Jetson TX2 NX.
Core 3588E also outshines the PCIe design. Jetson TX2 NX only has 2 lanes, and a few undefined pins. Core 3588E creates a PCIe 3.0 4-lane interface, which is four times faster than the 2-lane interface of Jetson TX2 NX. This distinction makes the Core 3588E a better fit for developers looking for improved performance and faster data transfer capabilities.
Mixtile currently offers a limited-time discount of 18% off for pre-orders. Prices will increase on August 31.
There are currently two options available for different memory and storage configurations:
- 4GB memory and 32GB eMMC is available for $109
- 16GB memory and 128GB eMMC is available for $159
The product is shipped through international airmail, and delivery will start in mid-October.
Product Specifications at a Glance
BSPs for different operating systems are supported, including Android 11, Debian 11, Ubuntu 22.04, and Armbian 23.07. The module also comes with an ARM Mali-G610 MP4 GPU, which delivers top-notch graphics performance. Expect it to seamlessly handle graphic-intensive tasks such as gaming, multimedia rendering, and advanced visualizations.
Mixtile Core 3588E has a built-in NPU of up to 6 TOPS. It can handle a whopping 6 trillion operations per second for AI workloads. Moreover, it’s compatible with several popular AI and deep learning frameworks, including TensorFlow, MXNet, Caffe, and PyTorch.
For detailed specifications of the Core 3588E SoM, you can visit the product page on the official Mixtile website.
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