Digi ConnectCore: The Scalable, Secure, and Connected System-on-Module Ecosystem
DIGI CONNECTCORE® EMBEDDED SOLUTIONS
A complete ecosystem of embedded solutions for OEMs and developers, including wireless system-on-modules, software, tools and services for rapid time-to-market
Digi SOM solutions provide a highly integrated hardware and software platform designed for rapid development and time-to-market, along with a full suite of tools and resources for scalability of design and ease of maintenance.
With robust, industrial system-on-modules, integrated Digi TrustFence® security, sophisticated open systems software and device management tools, Digi’s embedded solutions reduce total cost of ownership and help catapult OEMs to market success.
Digi ConnectCore System Architecture

The Complete Solution Platform Architecture:
Industrial-Grade Hardware:

Scalable modules built in a patent-pending, low-profile Digi SMTplus® surface-mount form factor or standard pluggable configurations.
Integrated Software:

Eliminates OS configuration headaches with production-ready Digi Embedded Yocto Linux, includes pre-certified drivers and wireless stacks.
Wireless Connectivity:

Digi ConnectCore SOMs support a range of wireless connectivity options for flexible designs. Wi-Fi, Bluetooth and seamless integration with Digi XBee® modules.
Cloud & Remote Management

Fully supported by Digi ConnectCore Cloud Services for seamless over-the-air (OTA) updates remote configuration, and long-term security monitoring.
Built-In Security:

Empowered by the Digi TrustFence® security framework, including cryptographic device identity, secure boot, encrypted storage, and protected ports.
Technical Support

Digi's Technical Support team provides expertise and problem-solving throughout your development, with a range of support levels to meet the full range of needs.
Digi ConnectCore® Focused Comparison Matrix
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| Digi ConnectCore MP1 (MP13/MP15) | Digi ConnectCore MP2 (MP25) | Digi ConnectCore 95 (i.MX 95) | |
| Silicon Architecture | STMicroelectronics STM32MP1 | STMicroelectronics STM32MP25 | NXP i.MX 959 |
| Primary Compute Tier | 1× or 2× ARM Cortex-A7 (up to 800 MHz) | 2× ARM Cortex-A35 (1.5 GHz) | Up to 6× ARM Cortex-A55 (1.8 GHz) |
| Co-Processor Tier | 1× ARM Cortex-M4 (209 MHz) | 1× ARM Cortex-M33 (400 MHz) + Cortex-M0+ | 1× ARM Cortex-M33 + 1× ARM Cortex-M7 |
| AI/ML Performance | Main CPU (Basic software inference) | Integrated NPU (1.35 TOPS) | Integrated eIQ® Neutron NPU (2 TOPS hardware / 8 TOPS sparse) |
| Memory Capacity | Up to 1 GB DDR3L + 1 GB SLC NAND | Up to 2 GB DDR4 + 128 GB eMMC | Up to 16 GB LPDDR5 (ECC) + 128 GB eMMC |
| Vision & Video Capability | Parallel camera interface (Basic) | 5MP ISP, 3D GPU, H.264/H.265 VPU | 12MP ISP, Arm Mali-G310 GPU, 4K H.265/H.264 video encode/decode |
| Networking & TSN | Dual 10/100/1000M Ethernet | Dual Gigabit Ethernet with TSN | 1x 10 GbE + 2x Gigabit Ethernet with TSN |
| Wireless Protocols | Wi-Fi 5 (802.11ac) + Bluetooth 5.2 | Wi-Fi 6 (802.11ax) + Bluetooth 5.4 | Tri-band Wi-Fi 6E (802.11ax) + Bluetooth 5.4 |
| Module Dimensions | 29 x 29 mm SMTplus | 30 x 30 mm SMTplus 40 x 45 mm | SMTplus / Pluggable SMARC |
Architectural & Application Breakdown
| Digi ConnectCore MP1 | Digi ConnectCore MP2 | Digi ConnectCore 95 | |
|---|---|---|---|
| The Compact, Cost-Optimized Gateway | The Balanced Machine Vision Platform | The Ultimate High-Performance AI Hub | |
| Target Focus | Battery-powered IoT devices, low-power industrial sensor aggregation, and simple headless edge compute units. | Real-time synchronized automation, intermediate object recognition, and smart factory cameras. | Premium multi-display industrial HMIs, high-density 4K video pipelines, 10GbE network gateways, and advanced medical diagnostics. |
| The Profile | Squeezed onto Digi's absolute smallest form factor (29x29mm), the MP1 specializes in power-frugal edge intelligence. It cuts down on heavy multimedia components to maximize battery longevity, making it perfect for field monitors and basic industrial protocol conversion gateways. | Moving to a modern 64-bit multi-core setup, the MP2 hits a highly efficient sweet spot for general industry applications. By integrating Time-Sensitive Networking (TSN) alongside a dedicated Neural Processing Unit (NPU) and Image Signal Processor (ISP), it is tailored specifically to act as the primary compute module inside automated factory sorting and defect checking equipment. | This is Digi's high-tier performance powerhouse. Backed by up to 6 high-speed computing cores, lightning-fast LPDDR5 ECC memory, and NXP's multi-TOPS eIQ Neutron hardware accelerator, it handles several complex deep learning models simultaneously. It introduces a 10 Gigabit Ethernet bus and Wi-Fi 6E bandwidth to route massive camera streams smoothly without dropping frames. |
Versatile, secure, wireless system-on-module with NPU and ISP for edge AI and computer-vision applications and complete Linux support in Digi SMTplus form factor
- Industrial-grade, scalable, embedded SOM platform
- NPU and ISP providing edge AI and computer vision capabilities
- Pre-certified tri-band Wi-Fi 6E 802.11ax and Bluetooth® 5.4
- Power management with hardware and software support
- Digi SMTplus® form factor (30 x 30 mm) for ultimate reliability
- Seamless cellular modem and Digi XBee® integration
- Digi ConnectCore® Security Services and Cloud Services for remote access, device management, OTA firmware updates, security and IoT application enablement
- Digi Embedded Yocto Linux and Digi TrustFence® security support
- Turnkey development services available from Digi WDS
Digi ConnectCore® MP2 is a versatile, secure and cost-effective wireless system-on-module (SOM) designed for industrial applications and smart connected devices. STMicroelectronics’ STM32MP25 adds a neural processing unit (NPU) and image signal processor (ISP) for edge AI and computer vision applications. The fully integrated wireless connectivity, time-sensitive networking (TSN) and the compact SMTplus® form factor (30 x 30 mm) make it ideal for small portable devices and Industry 4.0.



