AMD EPYC 3000 series - Intel Xeon D series - Embedded solutions

Explore our comprehensive range of Embedded Solutions featuring Supermicro X11 Generation MBD and Servers, which support the powerful Intel Xeon E-2100 (Coffee Lake) Series processors. These processors bring enterprise-class reliability and performance to server-class motherboards and entry-level servers, and are notable for being the first to offer 6-core/12-thread configurations with optimized 14 nm technology.

Key Advantages:

• Advanced Processor Technology: Equipped with Intel Xeon E processors, these solutions provide significant processing power for complex computations and are capable of handling intensive multitasking environments.

• Versatile Power Options: With Thermal Design Power (TDP) options ranging from 35W to 95W, these systems can be finely tuned for high performance with low-power consumption, ideal for a wide range of applications including embedded/IoT, networking, and storage.

• Diverse Embedded Computing Solutions: Our portfolio includes industrial embedded systems, rugged embedded systems, fanless embedded computers, IoT solutions, embedded box PCs, compact embedded computers, high-performance systems, custom solutions, and embedded systems engineering to meet specific industry needs.

For those requiring storage-intensive solutions, consider exploring our range of STORAGE SERVERS designed to efficiently manage your storage demands.

AMD EPYC 3000 series processors are designed for embedded, networking, and storage applications, offering a balance of performance and power efficiency. These processors excel in use-cases like edge computing, industrial IoT, and specialized server applications, bringing the benefit of high core counts and robust security features to more compact and energy-sensitive environments.
Intel Xeon D processors are optimized for dense server environments and edge computing, delivering a powerful performance in a low-power, compact footprint. These processors are particularly suited for tasks like network function virtualization, software-defined storage, and other workloads requiring high-throughput and low latency, making them a cost-effective and energy-efficient option for both data centers and edge deployments.