Description
Sixfab Edge AI Expansion Board for Raspberry Pi 5
Turn your Raspberry Pi 5 into a full edge AI system. Add 25 TOPS of edge AI inference, NVMe storage, and LTE/5G connectivity to Raspberry Pi 5 in a single under-board stack.
What is the Sixfab Edge AI Expansion Board?
The Sixfab Edge AI Expansion Board for Raspberry Pi 5 is a complete edge AI expansion platform that combines DEEPX NPU acceleration, NVMe SSD storage, and LTE/5G connectivity in a single board, powered through one USB-C connection that also back-powers the Raspberry Pi 5 through pogo pins.
Read the technical overviewFrom Raspberry Pi prototype to industrial edge AI
Scale from Raspberry Pi 5 AI prototyping to rugged industrial edge AI deployment without rebuilding anything. One DEEPX NPU. Three edge AI form factors.
Rapid AI prototyping
13 / 25 TOPSPure AI acceleration for Raspberry Pi 5 developers building early proof-of-concepts. Plug it in, install via APT, run a demo in minutes.
Best for: AI experimentation, proof-of-concepts, and rapid Raspberry Pi 5 prototyping.
This Product
Connected edge systems
25 TOPS · LTE/5GAdd LTE/5G connectivity, NVMe local storage, and multi-camera support for real field deployments in a single under-board stack.
Best for: Outdoor vision systems, IoT sensors, and live field testing.
Industrial edge AI deployment
25 TOPS · −20 to +60 °CFanless, rugged, always-online edge AI computer for fleets and distributed industrial sites. Secure by design, IP40-rated, ALPON™ CLOUD-managed.
Best for: Factories, smart cities, real-world fleets, traffic analytics & public safety systems.
Key Features of the Edge AI Expansion Board
A unified Raspberry Pi 5 expansion platform that integrates AI acceleration, high-speed storage, and cellular connectivity for offline and connected edge AI deployments.
Swappable M.2 AI module
DEEPX DX-M1 (25 TOPS at INT8) on a removable M.2 module. Bundled in Variant 2 · board-only in Variant 1.
PCIe Gen 2 / Gen 3 x1
Dedicated PCIe lane for NPU ensuring stable high-throughput inference.
Triple M.2 architecture
Separate lanes for AI (PCIe), NVMe storage, and LTE/5G connectivity running in parallel.
USB-C PD
Single-cable power input that also back-powers Raspberry Pi 5 via pogo pins.
DXNN SDK + Model Zoo
Pre-compiled models or full ONNX → DXNN deployment pipeline.
On-device inference, no cloud
Fully offline AI processing with no cloud dependency.
A live pipeline · capture, infer, act, connect
Frames flow in from your cameras. The Pi 5 hosts your app. The DEEPX NPU runs the neural math. Results land locally on NVMe and stream over LTE/5G. Watch the data move.
Capture
MIPI CSI, USB UVC, or RTSP IP cameras feed frames into the Raspberry Pi 5.
up to 4×1080pHost
Pi 5’s Cortex-A76 CPU runs your app: pre-processing, control flow, I/O, network.
Raspberry Pi 5Inference
DEEPX DX-M1 NPU on the M.2 module runs your compiled DXNN model over PCIe Gen 2/3 ×1.
25 TOPS · INT8Act & Connect
Results land on local NVMe storage. Alerts and metadata stream over LTE/5G, with no cloud round-trip.
LTE/5G + NVMeSixfab Edge AI Expansion Board: at a glance
The essentials. Every value here is sourced from R&D. For the full electrical, mechanical, and software reference, see the Hardware Reference docs.
dxrt-runtime · APT install · Python & C++ APIsBuilt for real-world edge AI
The Expansion Board is optimized for vision AI workloads that require local inference, LTE/5G connectivity, and high-speed data logging without relying on cloud-based AI processing.
Connected Smart Cameras
Run real-time object detection or face recognition on-device. Transmit metadata and alerts over LTE/5G. Raw video stays local. No cloud latency, no bandwidth bottleneck.
Robotics & Autonomous Drones
Equip mobile platforms with real-time vision AI and always-on cellular uplink. Make on-device decisions at full frame rate without depending on a cloud connection.
Outdoor Vision Systems
Count and classify vehicles, pedestrians, or wildlife from remote edge units. Aggregate metadata over cellular while keeping raw video fully on-device for privacy.
Remote Monitoring & Sensors
Monitor equipment or infrastructure in unattended environments. Run anomaly detection locally with the NPU and transmit only event-based alerts over LTE, cutting data costs dramatically.
IoT Sensor Fusion
Combine camera streams, sensor data, and telemetry for multi-modal edge inference. Store processed results locally on NVMe, sync summaries to the cloud on your schedule.
Live Field Testing & Staging
Validate AI models in real-world environments before ALPON X5 AI deployment. The Expansion Board runs the same DEEPX SDK and models, zero porting effort when you scale up.
Compliance & certifications
Turn your Raspberry Pi 5 into a full edge AI system
Add 25 TOPS of edge AI inference, NVMe storage, and LTE/5G connectivity to Raspberry Pi 5 in a single under-board stack.