Waveshare or LattePanda? Single Board Computers Compared in 2026
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This guide compares the waveshare vs LattePanda single board computer options for your next project. Both boards serve as compact computing platforms, but they target different workflows. The Waveshare module relies on the ARM-based Raspberry Pi Compute Module 4 ecosystem, while the LattePanda V1 uses an Intel processor. This distinction affects which operating systems you can run and how you interface with hardware. You need to decide which architecture fits your development needs.
Key differences
| Aspect | Waveshare Raspberry Pi Compute Module 4 Lite | LattePanda V1 4GB RAM 64GB eMMC |
|---|---|---|
| Processor | BCM2711 quad-core Cortex-A72 | Intel Cherry Trail Z8350 quad-core |
| RAM | 2GB | 4GB |
| Storage | 0GB (Lite) eMMC | 64GB eMMC |
| Operating System | Linux (Raspberry Pi OS) | Windows 10 or Linux |
| Arduino Support | Not listed | Integrated Arduino-compatible processor |
Which one should you choose?
Choose Waveshare Raspberry Pi Compute Module 4 Lite if
- You prefer the Raspberry Pi ecosystem and need a smaller form factor
- You are developing embedded Linux applications without Windows dependencies
- You require a board that integrates directly with Pi HATs
Choose LattePanda V1 4GB RAM 64GB eMMC if
- You need to run Windows 10 desktop applications
- You want integrated Arduino capabilities for hardware prototyping
- You require more RAM and built-in storage for standalone projects
Verdict: Choose the Waveshare module if you are already invested in the Raspberry Pi ecosystem and need a compact, Linux-only solution. Select the LattePanda V1 if you require Windows compatibility or built-in Arduino support for mixed-signal projects. The choice depends entirely on your software environment and hardware interface requirements.
Waveshare vs LattePanda SBC Comparison
Processor Performance
The Waveshare Raspberry Pi Compute Module 4 Lite uses a BCM2711 quad-core Cortex-A72 ARM processor. This chip is designed for 64-bit tasks and offers competent performance for large-scale data compilation. In contrast, the LattePanda V1 relies on an Intel Cherry Trail Z8350 quad-core processor that boosts up to 1.92GHz. While the Z8350 is an older architecture, its higher clock speed and x86 compatibility provide different advantages. The ARM chip in the Waveshare unit is generally more modern for Linux-based workloads, whereas the Intel chip in the LattePanda allows for native Windows applications without emulation.
Memory Capacity
Memory is a clear differentiator between these two single-board computers. The LattePanda V1 comes equipped with 4GB of RAM, which provides more headroom for multitasking and running heavier operating systems like Windows 10. The Waveshare module you are considering has only 2GB of RAM. While 2GB is sufficient for basic Linux tasks and lightweight projects, it limits your ability to run multiple background processes or memory-intensive applications. If your project requires more than 2GB of working memory, the LattePanda offers a distinct advantage in raw capacity.
Storage Options
Storage configurations differ significantly between the two boards. The LattePanda V1 includes 64GB of eMMC flash storage, giving you plenty of space for your operating system, applications, and local files. The Waveshare Raspberry Pi Compute Module 4 Lite is a Lite version, meaning it has 0GB of eMMC flash storage. You would need to rely on an external microSD card or other external storage solutions for the Waveshare board. For users who want a self-contained unit with built-in storage, the LattePanda is the more complete package out of the box.
Operating System Support
Your choice of operating system will largely depend on which board you choose. The LattePanda V1 supports both Windows 10 and Linux, making it a versatile choice for developers who need Windows-specific software or IoT capabilities via its integrated Arduino-compatible processor. The Waveshare module is part of the Raspberry Pi ecosystem, which primarily runs Linux-based distributions. It does not natively support Windows. If you need to run standard Windows desktop applications or require the specific Arduino integration for hardware prototyping, the LattePanda is the only viable option.
Form Factor and Size
Size matters when you are integrating these boards into a custom enclosure or portable project. The Waveshare module is significantly more compact, measuring 2.17 inches in length, 0.39 inches in width, and just 0.19 inches in height. It weighs only 3.53 ounces. The LattePanda V1 is much larger at 4.72 inches long, 4.13 inches wide, and 1.57 inches high, weighing 3.68 ounces. The Waveshare board is designed to be mounted on a carrier board, resulting in a very low profile. If space is extremely constrained, the Waveshare module is the superior choice.
Networking Connectivity
Both boards offer wireless connectivity, but the implementation details vary. The Waveshare module features an upgraded processor and supports WiFi, with options for either a PCB trace antenna or an external antenna, which is suitable for industrial applications. The LattePanda V1 also includes WiFi capabilities. However, the Waveshare data highlights its certified radio module, which is the same one used on the Pi 4B. This suggests potentially more robust or standardized wireless options for the Waveshare board, especially if you need external antenna connections for better range in industrial settings.
Which SBC fits your project needs
Developers needing Windows compatibility
You should choose the LattePanda V1 if you require a Windows environment. It features an Intel Cherry Trail Z8350 processor and supports Windows 10. This board also includes an integrated Arduino-compatible processor, which simplifies hardware expansion and programming tasks for developers who need flexibility in their project workflows.
Users preferring ARM ecosystem tools
Select the Waveshare CM4 Lite if you prefer the ARM-based Raspberry Pi ecosystem. It uses a BCM2711 quad-core Cortex-A72 processor and offers 2GB of RAM. The board supports WiFi and provides faster eMMC storage speeds, making it suitable for users who want to leverage existing Pi software and large-scale data compilation capabilities.
Projects requiring larger storage capacity
Choose the LattePanda V1 for its built-in 64GB eMMC storage. The Waveshare CM4 Lite is a Lite version with no eMMC flash, requiring you to add external storage. If you need local storage for your operating system and files without additional hardware, the LattePanda provides this capacity directly on the board.
The products compared
Waveshare Raspberry Pi Compute Module 4 Lite
Best for: compact embedded ARM projects
- Processor
- BCM2711, quad-core Cortex-A72
- RAM Capacity
- 2GB
- Storage
- 0GB (Lite) eMMC Flash
- Wireless Connectivity
- WiFi
- Memory
- 2GB RAM
- Dimensions
- 2.17 × 0.39 × 0.19 inches
View on Amazon: Waveshare Raspberry Pi Compute Module 4 Lite Affiliate link
This Waveshare module uses the BCM2711 quad-core processor to deliver ARM-based performance in a compact footprint. You get 2GB of RAM and 0GB of eMMC flash storage. The board includes WiFi connectivity for network access. Its small dimensions make it suitable for embedded projects where space is limited. It serves as a capable core for custom builds rather than a standalone desktop solution.
Pros
- BCM2711 quad-core Cortex-A72 processor
- 2GB RAM capacity
- Integrated WiFi connectivity
- Compact 2.17 x 2.17 x 0.39 inch form factor
Cons
- No internal storage (0GB eMMC)
- Requires separate RAM configuration for higher capacity
- Limited to 2GB RAM in this specific model
Good fit if
- You need a compact ARM-based compute module
- You are building a custom embedded project
- You require WiFi connectivity in a small form factor
Skip if
- You need a complete desktop computer with an OS
- You require significant internal storage space
- You are looking for a pre-configured Windows system
Verdict: Waveshare CM4 2GB RAM Single Board Computer offers a compact ARM core for embedded tasks. It fits developers needing WiFi and a small footprint for custom hardware integration.
LattePanda V1 4GB RAM 64GB eMMC
Best for: Arduino-compatible development projects
- Processor
- Intel Cherry Trail Z8350
- RAM Capacity
- 4GB
- Storage
- 64GB eMMC
- Operating System Support
- Windows 10, Linux
- Dimensions
- 4.72 × 4.13 × 1.57 inches
- Weight
- 3.68 ounces
View on Amazon: LattePanda V1 4GB RAM 64GB eMMC Affiliate link
The LattePanda V1 is a single board computer featuring an Intel Cherry Trail Z8350 quad-core processor up to 1.92GHz. It includes 4GB of RAM and 64GB of eMMC storage. This unit supports Windows 10 and Linux. It also has a built-in Arduino-compatible processor for hardware expansion. It measures 4.72 by 4.13 by 1.57 inches and weighs 3.68 ounces. It suits developers needing a flexible platform.
Pros
- Intel Cherry Trail Z8350 quad-core processor
- 4GB RAM and 64GB eMMC storage
- Built-in Arduino-compatible processor
- Supports Windows 10 and Linux
Cons
- Older Cherry Trail processor limits performance
- Sold without a Windows 10 product key
- Limited 4GB RAM capacity
Good fit if
- You need an Arduino-compatible interface
- You prefer Windows 10 compatibility
- You want a compact development board
Skip if
- You require high-end gaming performance
- You need a pre-activated Windows license
- You want modern processor speeds
Verdict: LattePanda V1 4GB/64GB SBC fits hobbyists who need Arduino integration. It works for basic development tasks. It is not for heavy workloads.
Specifications side by side
| Spec | Waveshare Raspberry Pi Compute Module 4 Lite | LattePanda V1 4GB RAM 64GB eMMC |
|---|---|---|
| Processor | BCM2711, quad-core Cortex-A72 | Intel Cherry Trail Z8350 |
| RAM Capacity | 2GB | 4GB |
| Storage | 0GB (Lite) eMMC Flash | 64GB eMMC |
| Wireless Connectivity | WiFi | not stated |
| Operating System Support | not stated | Windows 10, Linux |
| Memory | 2GB RAM | not stated |
| Operating System | not stated | Windows 10 |
| Dimensions | 2.17 × 0.39 × 0.19 inches | 4.72 × 4.13 × 1.57 inches |
| Weight | 3.53 ounces | 3.68 ounces |
| Color | 2GB RAM-0GB (Lite) with WIFI | 4G/64GB without Win10 product key |
| Model | CM4102000 | DFR0419 |
Frequently asked questions
Which single board computer is better for compact embedded ARM projects?
The Waveshare Raspberry Pi Compute Module 4 Lite is the better choice for compact embedded ARM projects. It features a 2GB RAM configuration and measures just 2.17 inches in length. Its small footprint, weighing only 3.53 ounces, makes it ideal for developers needing WiFi and tight integration into custom hardware designs.
Can I use LattePanda for Arduino-compatible development projects?
Yes, the LattePanda V1 is designed specifically for Arduino-compatible development projects. It includes an integrated Arduino-compatible processor to simplify hardware interaction. This board supports Windows 10 and offers 4GB of RAM with 64GB of eMMC storage, making it suitable for basic development tasks rather than heavy workloads.
How do the physical dimensions of these two boards compare?
The Waveshare module is significantly smaller than the LattePanda V1. The Waveshare board measures 2.17 inches in length and 0.39 inches in width. In contrast, the LattePanda V1 is larger, measuring 4.72 inches in length and 4.13 inches in width. This size difference impacts how you can fit each board into your enclosure.
What operating system does the LattePanda V1 support?
The LattePanda V1 supports Windows 10. It comes with 64GB of eMMC storage to hold the operating system and your files. This board is intended for users who need a full Windows environment for their development work, although it is not recommended for heavy computational tasks.
Which board has more RAM?
The LattePanda V1 has more RAM than the Waveshare option. The LattePanda V1 includes 4GB of RAM. The Waveshare Raspberry Pi Compute Module 4 Lite provides 2GB of RAM. This difference in memory capacity affects how many processes you can run simultaneously on each device.
Is the Waveshare board suitable for Windows applications?
No, the Waveshare Raspberry Pi Compute Module 4 Lite is not designed for Windows applications. It relies on the ARM-based Raspberry Pi Compute Module 4 ecosystem, which typically runs Linux-based operating systems. It is built for compact embedded tasks rather than general-purpose Windows computing environments.
What is the weight difference between the two boards?
The LattePanda V1 is slightly heavier than the Waveshare module. The LattePanda V1 weighs 3.68 ounces. The Waveshare board weighs 3.53 ounces. While both are lightweight, the Waveshare option is marginally lighter, which may be a factor for portable or suspended mounting projects.