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LattePanda x86 Single Board Computers
& Compute Modules
What is an x86 Single Board Computer?
An x86 SBC (Single Board Computer) is a compact embedded computer that integrates x86 processor architecture, memory, storage, and input/output (I/O) interfaces onto a single circuit board.
Most x86 SBCs use Intel or AMD processors and support desktop operating systems such as Microsoft Windows and Linux distributions. Common interfaces include USB, Ethernet, HDMI, GPIO, UART, M.2 Slot, eDP, Type C, and PCIe, allowing connection with peripherals, sensors, displays, storage devices, and expansion modules.
Compared with many ARM-based SBCs, x86 SBCs deliver superior CPU/GPU performance and richer high-speed I/O, while maintaining full compatibility with the x86 software ecosystem for PCs, virtualization, industrial software, and existing development tools.
x86 SBC vs ARM-based SBC
| CATEGORY | x86 SBC | ARM-BASED SBC |
|---|---|---|
| Processor Architecture | x86_64 architecture processors | ARM architecture processors |
| CPU Performance | High single/multi-core computing power | Designed for high energy efficiency, moderate CPU performance |
| GPU Performance | Superior integrated GPU performance | Basic GPU capabilities |
| High-Speed I/O Expansion | Abundant native high-speed PCIe, USB, HDMI, eDP lanes | Limited PCIe lanes and slower I/O; often relies on shared buses for USB and network |
| Operating Systems | Full Windows and Linux support | Primarily ARM Linux distributions and Android |
| PC Ecosystem Compatibility | Native compatibility with PC applications, drivers, virtualization platforms, and industrial software | Requires ARM-compatible software versions, recompilation, or translation layers |
| Onboard Ports | PCIe, M.2, USB 3.2, multi-gigabit Ethernet | Typically fewer high-speed expansion options |
| Performance Focus | High-performance computing, multitasking, edge AI | Low-power embedded computing |
| Power Consumption | Higher power consumption | Lower power consumption |
| AI & Robotics | Edge AI, ROS2, local LLMs, machine vision | Lightweight AI and embedded inference |
| Common Applications | Industrial automation, robotics, homelab, AI systems | IoT, education, DIY projects |
x86 SBC and Compute Module Selection
Different x86 SBCs and compute modules are optimized for edge AI, embedded integration, industrial automation, and compact computing deployments.
| Platform | LattePanda IOTA | LattePanda Sigma | LattePanda 3 Delta | LattePanda Mu |
|---|---|---|---|---|
| Product Category | Single Board Computer | Single Board Computer | Single Board Computer | Compute Module |
| Processor | Intel Processor N150 | Intel Core i5-1340P | Intel Celeron N5105 | Intel N100 / Core i3-N305 |
| Memory | LPDDR5 memory architecture | Up to 32GB, Dual-Channel LPDDR5-6400MHz | 8GB LPDDR4 | Up to 16GB LPDDR5 |
| Expansion & I/O | Compact Size, I/O and M.2 expansion | Thunderbolt 4, Quard M.2 Slot(up to PCIe 4.0 x4) , Dual Ethernet | GPIO, M.2 expansion, Arduino-compatible coprocessor | Up to 9 PCIe 3.0 lanes, modular carrier-board integration |
| Best For | Edge gateways, digital signage, compact automation systems | Local LLM inference, machine vision systems, AI Edge Computing | portable instruments, IoT gateways, lightweight edge computing | Custom carrier-board devices, embedded OEM products, gateway controllers, portable instruments |
Compute Selection Platform
LattePanda IOTA LattePanda IOTA delivers a computing platform for scalable edge deployments. View IOTA →
LattePanda Sigma LattePanda Sigma packs ultimate performance into a compact single board server. View Sigma →
LattePanda 3 Delta LattePanda 3 Delta is a ultra-thin single-board computer. View 3 Delta →
LattePanda Mu LattePanda MU is a micro x86 compute module designed for custom system designs with long-term supply stability. View MU →
x86 SBC Applications and Use Cases
Robotics and Autonomous Systems Robotics workloads require real-time control, sensor integration, and compatibility with ROS2 ecosystems.
Edge AI and Local Inference Systems x86 SBCs are used for local AI inference, machine vision, and edge processing workloads.
Cyberdecks and Portable Computing x86 SBCs are widely used in custom cyberdecks, portable workstations, and handheld computing projects.
Home Servers and Network Infrastructure x86 SBCs are commonly used for virtualization, storage, and network services in homelab environments.
FAQ
What is LattePanda?
LattePanda was founded in 2015 and is a hardware platform focused on x86 single board computers, embedded systems, and compute modules for edge AI, robotics, industrial automation, and product development.
Does LattePanda provide technical documentation and development resources?
Yes. LattePanda provides a wide range of development resources, including official documentation, GitHub repositories, project blogs, and community knowledge bases to support evaluation, prototyping, and product development. These resources are continuously maintained and updated with new information, improvements, and community feedback.
Where can I purchase LattePanda products?
LattePanda products are available through DFRobot store, authorized distributors, and selected regional resellers worldwide. Product availability may vary by region and platform.
Can I order custom or volume-built LattePanda solutions?
Yes. LattePanda supports OEM and embedded projects with options for custom hardware integration, carrier board design, and volume production. Project scope and minimum order requirements may apply. For customization inquiries, volume orders, or partnership opportunities, please contact the LattePanda sales team at lattepanda@outlook.com