Device Comparison

ALPON X5 AI vs ALPON X4 · Hardware Comparison ·

Side-by-side comparison of the ALPON X5 AI edge AI computer and the ALPON X4 edge IoT computer. Use this page to decide which device fits your workload before you buy.

Which ALPON should I choose?

Choose the ALPON X5 AI if you need on-device AI inference, as it has a 25 TOPS DEEPX DX-M1 NPU, a faster Cortex-A76 (CM5) processor, NVMe SSD support, and 2× Gigabit Ethernet. Choose the ALPON X4 for general-purpose IoT gateway, telemetry, and remote-monitoring workloads where you do not need an AI accelerator. Both devices share the same ALPON Cloud, fleet management, eSIM connectivity, and industrial enclosure.

Quick decision guide

If you can answer "yes" to any of the following, the choice is clear.

ALPON X5 AI

Edge AI

Pick X5 AI if you need to…

  • Run computer vision, object detection, or segmentation on-device
  • Deploy quantized AI models (INT8) at 25 TOPS
  • Process multiple camera streams in real time
  • Use Compute Module 5 (Cortex-A76) and NVMe SSD
  • Drive a 4K display at 60 Hz
ALPON X5 AI docs

ALPON X4

Edge IoT

Pick X4 if you need to…

  • Build an industrial IoT gateway or telemetry collector
  • Aggregate sensor data and forward it to the cloud
  • Deploy long-running services without GPU/NPU workloads
  • Optimize for cost where AI inference is not required
  • Use proven Compute Module 4 hardware
ALPON X4 docs
Drop-in replacement?

The X5 AI is not a drop-in replacement for the X4. The two devices share the same enclosure footprint and ALPON Cloud, but they differ in dimensions (X5 AI is 12 mm taller), processor architecture, and I/O layout. Validate your antenna, mounting, and power assumptions before swapping.

Full specification comparison

Every spec from the official datasheets, side by side. Highlighted rows are where the two devices differ.

Key difference Unhighlighted rows are identical across both devices.
Specification
ALPON X5 AI Edge AI Computer
ALPON X4 Edge IoT Computer
AI Acceleration
AI Accelerator DEEPX DX-M1 UltraM.2 2280, on-board — None
AI Performance 25 TOPSINT8 inference Not applicable
NPU Memory 4 GB on-chipDedicated, does not share system RAM Not applicable
NPU Power 2–5 WMin/max under AI workloads Not applicable
System
Compute Module Raspberry Pi CM5 Raspberry Pi CM4
Processor Broadcom BCM2712Quad-core Cortex-A76 @ 2.4 GHz (Armv8) Broadcom BCM2711Quad-core Cortex-A72 @ 1.5 GHz (Armv8)
Memory 8 GB or 16 GBLPDDR4-4267 with ECC 8 GBLPDDR4 (optional 2 GB / 4 GB)
Storage eMMC + NVMe SSDCM5 eMMC (optional) plus NVMe 32 GB eMMCOptional 8 GB / 16 GB
Real-Time Clock CR1220 coin cell CR1220 coin cell
Connectivity
Cellular 4G / LTE Cat 4 (Global) 4G / LTE Cat 4 (Global)
eSIM eUICC, remote profile mgmt eUICC, remote profile mgmt
Wi-Fi 2.4 / 5 GHz, 802.11 b/g/n/ac 2.4 / 5 GHz, 802.11 b/g/n/ac
Bluetooth Bluetooth 5.0, BLE Bluetooth 5.0, BLE
Ethernet 2× 1 GbpsRJ45 1× 1 Gbps + 1× 100 MbpsRJ45
GNSS / GPS GPS/GNSS + cellular geolocation GPS/GNSS + cellular geolocation
LTE Data Rate 150 Mbps DL / 50 Mbps UL (FDD) 150 Mbps DL / 50 Mbps UL (FDD)
Input / Output
USB 2× USB 3.0 + 1× USB-C OTG 2× USB 2.0 + 1× USB-C PD
Display HDMI 2.0, up to 4K @ 60 Hz HDMI 2.0, up to 4K @ 30 Hz
Camera Interface 1× 4-lane MIPIDSI/CSI over mini HDMI — None
GPIO RJ45 breakoutI2C, UART, SPI, 5V, GND 6× RPi GPIO pins5V output, 1A max
User Buttons 2× programmable 2× programmable
LED Indicators 4 LEDs1× user RGB, 1× power, 2× status 4 LEDs1× RGB, 1× cellular, 1× connection, 1× power
Switches Boot/Burn DIP, Watchdog DIP Boot/Burn DIP, Watchdog DIP
Power
Input Voltage 9–30 V DC, 27 W 9–30 V DC, 27 W
Power Options USB-C PD · Screw terminal · PoE+ (opt.) USB-C PD · Screw terminal · PoE+ (opt.)
USB Output 5 V DC, 1.8 A totalUSB 3.0 5 V DC, 1 A totalUSB 2.0
Mechanical & Environmental
Dimensions 100 × 100 × 45 mm3.93 × 3.93 × 1.77 in 111 × 100 × 33 mm4.37 × 3.93 × 1.30 in
Weight ~457 g (1 lb) ~457 g (1 lb)
Case Aluminum, fanless, passively cooled Aluminum, fanless, passively cooled
Protection Class IP40 IP40
Operating Temperature −20 °C to +60 °C −20 °C to +60 °C
Storage Temperature −40 °C to +85 °C −40 °C to +85 °C
Mounting Desk, DIN rail, wall (optional) Desk, DIN rail, wall (optional)
Security
TPM Infineon SLB 9670VQ2.0 (TPM 2.0) Infineon SLB 9670VQ2.0 (TPM 2.0)
Hardware Watchdog Yes Yes
Software & Platform
Operating System ALPON X5 AI OSRaspberry Pi compatible, with DEEPX runtime ALPON X4 OSRaspberry Pi compatible
ALPON Cloud Full support Full support
Fleet Management Yes Yes
OTA Updates Yes Yes
Container Deployment Docker (arm64) Docker (arm64)
Multi-Network Failover Ethernet → Wi-Fi → LTE Ethernet → Wi-Fi → LTE

Specifications are taken from the official ALPON X5 AI and ALPON X4 datasheets. Some variants may ship with different memory, storage, or PoE options. See the X5 AI / X4 specification pages for variant detail.

Typical use cases

Workloads where each device fits naturally.

X5 AI

Computer vision & AI

  • Real-time object detection (YOLO family)
  • People counting and traffic analytics
  • Defect detection on production lines
  • License-plate recognition (ALPR)
  • Smart-camera and CCTV analytics
X5 AI

Robotics & autonomy

  • Autonomous mobile robots (AMRs)
  • Vision-based navigation
  • Edge inference for ROS / ROS 2 nodes
  • Multi-stream sensor fusion
X4

Industrial IoT gateway

  • Modbus / OPC-UA data aggregation
  • Telemetry forwarding to cloud platforms
  • Remote machine monitoring
  • Asset tracking with cellular failover
X4

Connected infrastructure

  • Smart-city sensor backhaul
  • Vending and kiosk telemetry
  • Energy and utility metering
  • Mobile / vehicle gateway

What both devices share

Once you onboard a device, the platform experience is identical — learn it once, use it for either fleet.

Common across ALPON X4 and X5 AI

  • ALPON Cloud fleet management
  • OTA updates and rollback
  • Container-based application deployment
  • Multi-network failover (Ethernet, Wi-Fi, LTE)
  • eSIM with remote profile management
  • TPM 2.0 hardware root of trust
  • Hardware watchdog
  • Fanless aluminum enclosure
  • −20 °C to +60 °C operating range
  • 9–30 V DC, USB-C PD, optional PoE+
  • DIN rail and wall mounting (optional)
  • 2× user-programmable push buttons

Frequently asked

Does the ALPON X5 AI consume more power than the ALPON X4?

Yes, under AI workloads, the DEEPX NPU adds 2–5 W on top of the system baseline. Both devices accept the same 9–30 V DC input and the same 27 W USB-C PD power supply, so power-supply sizing usually does not change.

Can I migrate a workload from X4 to X5 AI without code changes?

If your workload is a containerized arm64 service that does not depend on X4-specific GPIO pinouts, it will run unchanged on the X5 AI. AI inference code and DEEPX runtime calls are X5 AI-only.

Are the antennas and accessories interchangeable?

The cellular, Wi-Fi, and GNSS antennas use the same connectors on both devices and are interchangeable. Mounting kits and the IP67 outdoor antenna are also shared. See the Accessories page for compatibility tags.

Can I replace an X4 with an X5 AI in the same enclosure cutout?

Not directly. The X5 AI is 12 mm taller (45 mm vs 33 mm) due to the DEEPX module and PCIe switch. The footprint (100 × 100 mm) is similar but not identical to the X4 (111 × 100 mm). Re-validate any custom enclosure or panel cutout.


Still unsure?

If your workload involves any kind of vision, inference, or model deployment, choose the X5 AI, because future-proofing your fleet for AI is cheaper than retrofitting later. For pure data-collection and gateway roles, the X4 remains the cost-effective option.