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The LattePanda Mu is a tiny computer-on-a-module that combines and Intel Alder Lake-0N processor with memory, storage, and I/O capabilities onto a package that measures just 60 x 69.6mm (about 2.36″ x 2.74″).
When LattePanda first launched the module in 2024 it was only available with an Intel N100 quad-core processor. Now the company has introduced a higher-performance model with an Intel Core i3-N305 octa-core chip with support for higher CPU frequencies and speedier graphics. The new model is compatible with carrier boards designed for the original though, which makes the new LattePanda Mu N305 a drop-in replacement for the Mu N100.
At this point, there are now three LattePanda Mu Compute Modules available with different memory, storage, and pricing:
| Mu N100 (8GB) | Mu N100 (16GB) | Mu N305 | |
| Processor | Intel N100 4 cores, 4 threads Up to 3.5 GHz 6W TDP |
Intel Core i3-N305 8 cores, 8 threads Up to 3.8 GHz 15W TDP |
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| Graphics | Intel UHD 24 Execution Units Up to 750 MHz |
Intel UHD 32 execution units Up to 1.25 GHz |
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| RAM | 8GB LPDDR5-4800 In-band ECC |
16GB LPDDR5-4800 In-band ECC |
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| Storage | 64GB EMMC 5.1 |
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| OS | Windows 10 / 11 Ubuntu 22.04 / 24.04 |
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| Expansion | Up to 9 s PCIe 3.0 Lanes Up to 4 x USB 3.2 Gen 2 (10 Gbps) Expandable to 64 x GPIO Up to 2 x SATA 3.0 6 Gbps drives 8 x USB 2.0 4 x UART 4 x I2C |
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| Display | 1 x eDP 1.4 3 x HDMI 2.0 / DisplayPort 1.4 Up to 3 displays simultaneously |
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| Price | $139 | $169 | $259 |
Note that those prices are just for the module, which isn’t much use without a carrier board to plug it into. But you can pay more for a complete kit that includes a carrier board, power supply, fan or heat sink, and other optional add-ons like a 7 inch or 11.6 inch display.
Given how cheap a basic mini PC with an Intel N100 processor is these days, most folks looking for an inexpensive computer would probably be better served by going that route instead. But the LattePanda Mu offers a versatile solution for folks that might want to swap out processor modules, design their own carrier boards, or use a compute module as the brains of a server, router, cluster board, handheld, robot, or some other yet-to-be-designed device.
via CNX Software