Mars CM: A New Alternative to Raspberry Pi Compute Module 4
TechnologySpace Technology and ExplorationThe Mars CM is a new single-board computer that offers an alternative option for projects requiring a Compute Module 4. With its JH7110 processor and successful testing on a Turing Pi 2 cluster board, it provides a promising alternative to the hard-to-find Raspberry Pi Compute Module 4.
Mars CM Features and Performance
⭐️The Mars CM is the same size and shape as the Raspberry Pi Compute Module 4.
⚙️Uses the JH7110 processor and has been successfully tested on a Turing Pi 2 cluster board.
📶Lacks Wi-Fi functionality and cannot connect to any test Wi-Fi networks.
Comparison with Pine64 SoQuartz
🔍Pine64 SoQuartz lacks hardware PTP timestamping, compatibility with as much software, and has slower performance compared to the Raspberry Pi.
💡Still worth considering if interested in a new architecture or need a computer for a Compute Module board.
FAQ
What is the maximum speed of the Mars CM's eMMC interface?
The Mars CM's eMMC interface has a maximum speed of 45 megabytes per second.
Does the Pine64 SoQuartz offer a replacement for the Raspberry Pi Compute Module 4?
Yes, the Pine64 SoQuartz can be used as a replacement, but it lacks certain features and has slower performance compared to the Raspberry Pi.
Is automatic disk resizing functionality available for the VisionFive 2?
Currently, the VisionFive 2 does not offer automatic disk resizing functionality, but the user hopes for this feature in the future.
What is the PCIe interface speed achieved on the VisionFive 2?
The PCIe interface on the VisionFive 2 achieves speeds of 150 to 250 megabytes per second, limited by the processor's performance.
What processor does the Mars CM use?
The Mars CM uses the JH7110 processor.
Summary with Timestamps
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The Mars CM is a new single-board computer that offers an alternative option for projects requiring a Compute Module 4. With its JH7110 processor and successful testing on a Turing Pi 2 cluster board, it provides a promising alternative to the hard-to-find Raspberry Pi Compute Module 4.
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