A look back at Embedded World 2025 with LattePanda
As a innovative compact computing solutions provider, LattePanda has continuously delivered high-performance, low-power hardware for industrial, IoT, and edge computing applications since its inception. At the 2025 Embedded World Exhibition, LattePanda showcased cutting-edge advancements in x86-based compact computing, solidifying its position as the preferred brand for compact computing solutions.


Core Product and Solution Demonstrations
LattePanda Mu
A compute module is powered by the Intel N100 or N305 processor, features up to 16GB LPDDR5 memory, and offers a variety of expansion interfaces. Its modular design is complemented for multiple carrier boards with different sizes and interfaces, enabling flexible configurations to adapt to diverse application such as edge computing, industrial automation, and intelligent device control, such as AGV controllers and real-time data collection systems.

LattePanda Sigma
Powered by Intel Core i5-1340P 12-Core processor, features up to 32GB LPDDR5 memory, dual Thunderbolt 4 ports and multiple 4K displays support. It sets a new benchmark in AI inference, containerization, virtualized environments, and high-performance computing, making it the go-to choice for applications like local LLM(large language model), compact server, autonomous robotics, and industrial edge computing deployments.

LattePanda 3 Delta
A cost-effective, ultra-thin Single Board Computer powered by the Celeron N5105 processor. Ideal for mobile devices, in-vehicle systems, and industrial IoT gateways, it offers enterprise-grade reliability at an accessible price point.

Customization & Ecosystem
LattePanda provides single board computer, carrier board, touch display, protective case, heatsink, open-source document and others, enabling tailored solutions for diverse use cases,
Based on LattePanda, customers have made different products, fostering innovation across industries.

The Future We Look Forward To
LattePanda’s full-stack support—from design to mass production—empowers customers with customized hardware configurations and seamless system integration. By nurturing a global developer community through open-source resources and technical documentation, the brand accelerates industrial miniaturization and intelligent transformation.
Looking ahead, LattePanda remains steadfast in its mission to drive innovation through flexible and creative technology solutions. We’re not just building hardware, we’re shaping the future of compact computing for industrial applications worldwide.
FAQs
- Why should I consider using LattePanda for edge computing applications?LattePanda offers high-performance, low-power hardware ideal for edge computing applications. It supports flexible configurations with its modular design, making it adaptable for diverse applications such as AGV controllers and real-time data collection systems. However, ensure your application needs align with the processor capabilities of models like LattePanda Mu and Sigma.
- Is LattePanda Sigma suitable for AI inference and virtualized environments?Yes, LattePanda Sigma is highly suitable for AI inference and virtualized environments due to its powerful 12-core Intel Core i5 processor and support for dual Thunderbolt 4 ports. Users should verify compatibility with existing infrastructure and consider potential integration costs.
- Can I customize LattePanda hardware for specific industrial applications?You can customize LattePanda hardware for specific industrial applications. It offers a variety of components like carrier boards, touch displays, and protective cases. Be aware of potential compatibility issues with third-party components and consider the technical expertise required for effective customization.
- How does LattePanda 3 Delta compare to other single board computers for IoT gateways?LattePanda 3 Delta is a cost-effective option for IoT gateways with its enterprise-grade reliability and compact design. It may lack some advanced features found in higher-end models but provides a good balance between performance and price for many IoT applications.



