Quickstart

Quickstart

From unboxed kit to first inference on the Sixfab Edge AI Expansion Board

Assemble the under-board stack, enable PCIe Gen 3 in config.txt, install the DEEPX runtime, and verify all three subsystems (NPU, NVMe, cellular) in one pass. End to end, around 30 minutes once the M.2 modules are on hand. Intelligented by DEEPX. Built on Raspberry Pi.

Up to 25 TOPS at INT8 DEEPX DX-M1 M.2 AI Module Raspberry Pi 5 PCIe Gen 2 / Gen 3 x1 3× M.2 (AI · NVMe · LTE/5G) USB-C PD
~30 min
Edge AI Expansion Board · Quickstart · Updated 2026-05-23 · Intelligented by DEEPX · Built on Raspberry Pi
How do I bring up the Sixfab Edge AI Expansion Board for the first time?

Six steps, around 30 minutes. Power off your Raspberry Pi 5, install the M.2 modules you need (NVMe SSD, DEEPX DX-M1, LTE/5G modem) and assemble the under-board stack with the 40 mm PCIe FFC cable, add three lines to /boot/firmware/config.txt to enable PCIe Gen 3 and full USB current, install the DEEPX runtime with sudo apt install sixfab-dx, verify the NPU with dxrt-cli -s (plus lsblk and ping -I usb0 for the storage and cellular subsystems), then run run_hello_world for live YOLOv8 detection on the NPU.

Before you start

This Quickstart is one of three paths through the Edge AI Expansion Board documentation. Pick the one that matches what you want to build. You can always come back here when you need the runtime up and running.

The procedure

Six steps. The first five set up the hardware, OS, and software stack; the sixth runs your first inference. Each step's commands are self-contained, so copy them in order.

1

Check the prerequisites and supported host platform

The Edge AI Expansion Board is an under-board baseboard for Raspberry Pi 5. Confirm the host platform and the M.2 modules you need are on hand before you open the antistatic bag.

What you need

Required 4 items
Required
Raspberry Pi 5 2 GB, 4 GB, 8 GB, or 16 GB. All current Raspberry Pi 5 revisions are compatible with the pogo-pin back-power scheme.
Required
Sixfab Edge AI Expansion Board kit Everything in the box is enumerated below in the box contents block. The kit ships pre-paired with the DEEPX DX-M1 M.2 AI Module pre-installed in the M.2-PCIE slot, so no separate purchase is needed to begin AI inference.
Required
USB-C PD supply, 27 W minimum (45 W recommended) The board accepts 5V/5A, 9V/3A, or 12V/2.25A profiles. The official Raspberry Pi 27 W USB-C PSU is the documented minimum. A 45 W supply is recommended for any full-stack configuration with AI + NVMe + cellular.
Required
Raspberry Pi OS (Bookworm or Trixie, 64-bit) Officially supported: Raspberry Pi OS Bookworm and Trixie. Internet access is required during the runtime install. Debian Bookworm/Trixie on ARM works if pushed but Raspberry Pi OS is the recommended path.
Recommended & optional 4 items
Optional
M.2 LTE/5G modem (Key-B) + nano SIM + antennas Optional for cellular WAN connectivity. M.2 Key-B slot. One nano SIM card slot on the board; nano eUICC SIMs are also supported. The board does not include antennas. Supply them according to your modem module's antenna connector type.
Optional
USB or CSI camera Optional for the bundled run_hello_world detection demo. The demo also runs against a stored video file if no camera is connected.

Supported host platforms

Supported host platforms
Supported
  • Raspberry Pi 5, the only supported host platform.
  • All current Raspberry Pi 5 revisions: 2 GB, 4 GB, 8 GB, 16 GB.
Not supported
  • Raspberry Pi 4 and earlier.
  • Compute Module 4 / Compute Module 5 (including CM5 IO Board).
  • Non-Raspberry Pi SBCs (Orange Pi, Rock Pi, Jetson, etc.).
Raspberry Pi 5 only. The Expansion Board's mechanical layout, the pogo-pin back-power scheme, and the 40 mm PCIe FFC cable are designed for the Raspberry Pi 5 board. The CM5 + IO Board path that AI HAT+ supports does not apply here.

What's in the box

The kit ships ready to assemble. The DEEPX DX-M1 module is the AI engine of the stack and arrives pre-flashed with current runtime firmware; all spacers, screws, the PCIe FFC cable, and the passive cooler ship in the same box.

Box contents SKU · with DEEPX DX-M1 M.2 AI Module
Edge AI Expansion Board PCBA Main PCB with the three M.2 slots, USB-C PD input, and the pogo-pin array on the top side.
DEEPX DX-M1 M.2 AI Module Pre-installed in the M.2-PCIE slot, pre-flashed with current runtime firmware. The AI accelerator the rest of this guide brings up.
USB Bridge PCBA Daughterboard with two vertical USB 3.0 plugs. Bridges the Expansion Board's USB hub to the Raspberry Pi 5's USB-A ports for NVMe and cellular data.
40 mm PCIe FFC cable Sixfab-manufactured flat flex cable with EMI shielding. One end labelled Raspberry Pi 5, the other labelled Edge AI.
M2.5 × 5 mm male-female spacer Black plastic. Sit between the Expansion Board top side and the Raspberry Pi 5 mounting holes.
M2.5 × 16 mm female-female spacer Black plastic. Bottom standoffs that lift the Expansion Board off the work surface so an M.2 modem with its heat-spreader can sit underneath.
M2.5 × 5 mm Philips-head screw Black plastic. Four secure the Raspberry Pi 5 to the top spacers; two secure the Expansion Board to the bottom standoffs from above.
M2 × 6 mm flat-head screw For retaining the M.2 modules: one for the AI module (pre-installed), one for an NVMe SSD, one for an LTE/5G modem.
M2 module plastic spacer 3D-printed PLA shim that sits between the M.2 module and the board for the AI and NVMe slots. Includes one spare.
Passive cooler 17 × 17 mm heatsink. Ships unmounted; the user attaches it to the target component after assembly.
USB Type-C plastic cap Protective cap for the USB-C PD input during transit and storage.
Quick Start Guide Printed pointer to this online guide and to the project page.
Not in the box. The Raspberry Pi 5, the USB-C PD power supply, the NVMe SSD (if used), the LTE/5G modem and antennas (if used), and the Raspberry Pi Active Cooler (recommended) are purchased separately.
Sixfab Edge AI Expansion Board kit contents flat-lay: main PCBA, pre-installed DEEPX DX-M1 M.2 AI module, USB Bridge daughterboard, 40 mm PCIe FFC cable, M2.5 spacers and screws, M2 flat-head screws and module spacers, passive cooler, USB-C cap, and Quick Start Guide
Fig. 1 Everything in the box: PCBA, pre-installed DX-M1 AI module, USB Bridge daughterboard, 40 mm PCIe FFC, spacers, screws, passive cooler, USB-C cap, and the Quick Start Guide.
2

Assemble the under-board stack

The Expansion Board sits underneath the Raspberry Pi 5. You install the spacers, mount the Raspberry Pi 5 on top so its pogo pins make contact, then connect the 40 mm PCIe FFC cable, seat the three M.2 modules, and finish with the USB Bridge. Pogo pins on the Expansion Board top side back-power the Raspberry Pi 5 through the GPIO header's 5V and GND pins.

Power off the Raspberry Pi 5 before mounting

The Expansion Board is not hot-pluggable. Disconnect the USB-C power supply completely before installing or removing the Expansion Board or any M.2 module. Mounting under power can damage the PCIe FFC connector, the DEEPX silicon, or the Raspberry Pi 5.

ESD handling and work surface

Touch a grounded metal object or wear an ESD wrist strap before handling the PCBs. Handle every board by its edges. Assemble on a non-conductive surface like an antistatic mat or a wooden desk, never on carpet or plastic.

Three M.2 slots, three jobs

Each slot is labelled on the silkscreen. The AI accelerator goes in M.2-PCIE only; the other two slots host storage and cellular over the internal USB hub.

M.2-USB
NVMe SSD
USB-attached via the Realtek RTL9210B-CG bridge. The OS sees a USB Mass Storage device, typically /dev/sda. Use one of the included M2 module plastic spacers between the SSD and the board.
KeyM-Key
Form factors2230 · 2242 · 2260 · 2280
Insert angle30°
ScrewM2 × 6 mm flat-head
M.2-PCIE
DEEPX DX-M1 M.2 AI Module
Pre-installed at the factory. The only slot wired to the dedicated PCIe Gen 2 / Gen 3 x1 link. Pre-flashed with current runtime firmware. You should not need to remove it for this Quickstart.
KeyM-Key
Form factor2280
StatusPre-installed
CELLULAR LTE/5G
LTE/5G modem
USB-attached via the internal USB 3.2 Gen 1 hub. Connect modem antennas to the module's RF connectors before seating it. The board has one nano SIM slot (eUICC nano SIMs supported).
KeyKey-B
Insert angle30°
ScrewM2 × 6 mm flat-head
SIM1× nano SIM

Assembly order

Order 1Spacers 2Mount Raspberry Pi 5 3FFC to board 4AI module 5Underside modules 6FFC to Raspberry Pi 5 + USB Bridge 7Power + USB-C cap
  1. Install the spacers. Screw the 6× M2.5 female-female 16 mm spacers into the bottom side of the Expansion Board as the base standoffs. On the top side (the side with the M.2 slots), fit the 2× M2.5 × 5 mm plastic screws and the 4× M2.5 × 5 mm male-female spacers, one in each corner mounting hole.
  2. Mount the Raspberry Pi 5. Lower the Raspberry Pi 5 onto the 4× 5 mm male-female spacers so the pogo pins on the Expansion Board's top side line up with and contact the underside pads of the Raspberry Pi 5 GPIO header (two 5V pads and two GND pads). Secure the Raspberry Pi 5 with 4× M2.5 × 5 mm plastic screws.
  3. Connect the PCIe FFC cable to the Expansion Board. Insert the cable into the PCIe FFC connector on the Expansion Board with the EDGE AI label facing up. Align the Pin 1 marking, fully insert, and close the latch.
  4. Install the DEEPX DX-M1 AI module. Insert the AI module into the M.2-PCIE slot at a 30° angle and fully seat the gold contacts. Place the 3D-printed M2 spacer at the far mounting hole, press the module flat, then secure it with an M2 × 6 mm flat-head screw. On factory-assembled units the DX-M1 ships pre-installed in this slot — skip this step if it is already fitted.
  5. Install the underside modules. Turn the board over to its underside. Insert the LTE/5G modem into the CELLULAR LTE/5G slot and tighten an M2 × 6 mm screw. Insert the NVMe SSD into the M.2-USB slot, place a 3D-printed M2 spacer, and secure it with an M2 × 6 mm screw. Insert a nano SIM into the SIM slot. Each M.2 module goes in at a 30° angle with the gold contacts fully seated.
  6. Connect the FFC to the Raspberry Pi 5 and seat the USB Bridge. Insert the RPi5 end of the PCIe FFC cable into the Raspberry Pi 5's PCIe socket and close the latch. On the other side, seat the USB Bridge daughterboard, which routes the internal USB hub (the data path for the NVMe and cellular slots) to the Raspberry Pi 5. The Sixfab logo on the USB Bridge must face outward and sit flat.
  7. Power the system. Connect the 27 W USB-C PD adapter to the Type-C socket on the Expansion Board — this powers the whole stack and back-powers the Raspberry Pi 5 through the pogo pins. Fit the included Type-C cap onto the Raspberry Pi 5's own USB-C port so no one accidentally powers the Pi from there. The stack is now ready for first boot and driver install.
Hand-tighten the spacers and screws only

Finger-tight is the spec. Loose spacers cause intermittent pogo-pin contact, which shows up as power glitches or reboots under load. Over-torquing strips the threads in the Raspberry Pi 5 PCB and the threads are not field-repairable. No power driver.

40 mm PCIe FFC orientation matters

The cable has two distinct ends. The end labelled Raspberry Pi 5 goes to the Raspberry Pi 5's PCIe port; the end labelled Edge AI goes to the Expansion Board's PCIe port. Match the Pin 1 arrow on each end to the corresponding marking on the PCB connector. A reversed or partially seated cable produces no PCIe link, and the DX-M1 will not enumerate on lspci.

Use the included 40 mm cable only

The cable is a 40 × 8.5 mm FFC manufactured by Sixfab and is included in the box. A longer cable or a different pitch is not recommended.

Visual reference

Each animation below isolates one assembly step so the orientation and seating cues are unambiguous. The numbered Fig. tags follow the assembly order shown above.

Sixfab Edge AI Expansion Board spacer installation: six M2.5 16 mm female-female standoffs on the bottom side, and two M2.5 5 mm plastic screws with four M2.5 5 mm male-female spacers on the top side
Fig. 2 Step 1, spacers. 6× M2.5 16 mm female-female standoffs on the bottom side; 2× M2.5 × 5 mm plastic screws and 4× M2.5 × 5 mm male-female spacers on the top side.
Raspberry Pi 5 lowered onto the four 5 mm male-female spacers of the Sixfab Edge AI Expansion Board with the pogo pins aligned, secured with four M2.5 5 mm plastic screws
Fig. 3 Step 2, mount the Raspberry Pi 5. Lower it onto the 4× 5 mm spacers with the pogo pins aligned, then secure with 4× M2.5 × 5 mm plastic screws.
PCIe FFC cable connected to the Sixfab Edge AI Expansion Board with the EDGE AI label facing up and the latch closed
Fig. 4 Step 3, FFC to the Expansion Board. Seat the PCIe FFC with the EDGE AI label facing up, Pin 1 aligned, latch closed.
DEEPX DX-M1 M.2 AI module inserted into the M.2-PCIE slot at a 30 degree angle, fixed with the 3D-printed spacer and an M2 6 mm flat-head screw
Fig. 5 Step 4, AI module. Seat the DEEPX DX-M1 in the M.2-PCIE slot at 30°, add the 3D spacer, and fasten with an M2 × 6 mm screw.
Underside of the Sixfab Edge AI Expansion Board with the LTE 5G modem in the CELLULAR LTE/5G slot, the NVMe SSD in the M.2-USB slot, and a nano SIM in the SIM slot
Fig. 6 Step 5, underside modules. LTE/5G modem in CELLULAR LTE/5G, NVMe SSD in M.2-USB (with 3D spacer), and the nano SIM. M2 × 6 mm screws.
PCIe FFC RPi5 end seated in the Raspberry Pi 5 PCIe socket with the latch closed, and the USB Bridge daughterboard in place with the Sixfab logo facing outward and flat
Fig. 7 Step 6, FFC to the Raspberry Pi 5 + USB Bridge. Seat the RPi5 end, close the latch, fit the USB Bridge with the Sixfab logo facing out and flat.
27 W USB-C PD adapter connected to the Type-C socket on the Sixfab Edge AI Expansion Board, with the included Type-C cap fitted onto the Raspberry Pi 5 own USB-C port
Fig. 8 Step 7, power. Connect the 27 W USB-C PD adapter to the Expansion Board's Type-C socket, and cap the Raspberry Pi 5's own USB-C port to prevent dual-powering.
3

Configure /boot/firmware/config.txt and power on

Three lines need to be in /boot/firmware/config.txt before the DEEPX runtime is installed: one to enable the Raspberry Pi 5's PCIe lane, one to set it to Gen 3, and one to lift the USB current limit so the Raspberry Pi 5 doesn't pause at boot when the Expansion Board is drawing power.

Power on the Raspberry Pi 5 (USB-C PD supply connected to the Expansion Board's USB-C port; the Expansion Board back-powers the Raspberry Pi 5), wait for it to boot to a terminal, then add the lines below to the end of /boot/firmware/config.txt.

bash · pi@raspberrypi: ~
# 1. Open config.txt in your editor of choice
sudo nano /boot/firmware/config.txt

# 2. Append these three lines at the end of the file:
dtparam=pciex1
dtparam=pciex1_gen=3
usb_max_current_enable=1

# 3. Save (Ctrl+O, Enter) and exit (Ctrl+X), then reboot
sudo reboot

What each line does

  • dtparam=pciex1: enables the Raspberry Pi 5's external PCIe x1 lane that the 40 mm FFC cable routes to the DX-M1.
  • dtparam=pciex1_gen=3: pushes the PCIe link from Gen 2 (the safe default on Raspberry Pi OS) to Gen 3. The DX-M1 supports Gen 3, and measured bandwidth jumps from 400–450 MB/s at Gen 2 to 800–900 MB/s at Gen 3.
  • usb_max_current_enable=1: lifts the Raspberry Pi 5's USB current cap. Without this line, the Raspberry Pi 5 pauses at boot and prompts the user to press the on-board button to acknowledge that more than 1.6 A of USB current is being requested.
Use a 27 W PSU minimum

A power supply under 27 W triggers reduced system performance and an on-screen under-voltage warning. Symptoms include SSD disconnects and random reboots. The official Raspberry Pi 27 W USB-C PSU is the documented minimum; for a full-stack configuration with AI + NVMe + LTE/5G, a 45 W supply is strongly recommended.

Why config.txt edits live in this step, not the runtime installer

The Sixfab APT package installs the kernel driver and runtime, but it does not edit config.txt on the user's behalf. Adding these lines before the install means the next reboot brings PCIe Gen 3 up cleanly and the DX-M1 enumerates at full speed on first boot.

4

Install the driver and DEEPX runtime

The sixfab-dx APT package installs the kernel driver (via DKMS), the DEEPX runtime (dxrt-runtime), and the CLI tools (dxrt-cli, dxtop, run_hello_world). It also pulls in raspberrypi-kernel-headers automatically so the DKMS build succeeds. First add the Sixfab APT repository (apt-repo-sixfab), then install the runtime.

bash · pi@raspberrypi: ~
# 1. Add the Sixfab APT repository
sudo apt update
sudo apt install apt-repo-sixfab
# 2. Refresh the index and install the driver + DEEPX runtime
sudo apt update && sudo apt install sixfab-dx

When the installer prompts Do you want to continue? [Y/n], type Y and press Enter. The driver compiles against your running kernel via DKMS, so the first install can take 5–10 minutes depending on connection speed and CPU.

Internet access is required during install

The package downloads the runtime and pulls kernel headers from the Pi OS repositories. After install, the board can run fully offline; AI inference does not need an internet connection.

Sanity check after a future Raspberry Pi OS update

Because the driver is built through DKMS, it normally rebuilds automatically when the kernel changes. If after a major OS update the NPU stops appearing, run lsmod | grep -i dx. If nothing matching dx_dma is loaded, reinstall the package with sudo apt install --reinstall sixfab-dx to rebuild the module against the new kernel.

5

Verify the NPU, NVMe, and cellular subsystems

One command per subsystem confirms the hardware path is up. The NPU check is always required; the NVMe and cellular checks only apply if you installed those M.2 modules.

NPU (DEEPX DX-M1)
dxrt-cli -s

Prints the runtime version, kernel-side drivers, on-NPU firmware, PCIe link speed, and per-core voltage, clock, and temperature. Healthy: all three NPU cores at 750 mV, 1000 MHz, temperature 40–55 °C at idle.

Always
NVMe SSD
lsblk

The SSD shows up as a USB Mass Storage device, typically /dev/sda (USB-to-NVMe bridge). Healthy: the expected SSD capacity appears under the sda entry.

If NVMe installed
Cellular modem
ping -I usb0 1.1.1.1

A reply confirms the modem is registered and data is flowing. Healthy: ping replies received. Discover your modem's actual interface name with ifconfig first; it varies by device.

If modem installed

Full NPU status with dxrt-cli -s

Run this even if you only installed the DX-M1. It is the single canonical command for confirming the DEEPX runtime, the kernel driver, and the on-NPU firmware are talking to each other.

Why this matters in production

The DEEPX runtime, the kernel driver (RT Driver and PCIe Driver), and the on-NPU firmware all carry independent version numbers. A drift between any two shows up later as silent CPU fallback, version-mismatch errors when loading .dxnn files, or unstable inference. Catching it here is much cheaper than catching it after deployment.

bash · pi@raspberrypi: ~
# Full hardware and firmware status report
dxrt-cli -s
Expected output NPU healthy
DXRT v3.3.0
=======================================================
 * Device 0: M1, Accelerator type
---------------------   Version   ---------------------
 * RT Driver version   : v2.4.0
 * PCIe Driver version : v2.2.0
-------------------------------------------------------
 * FW version          : v2.5.6
--------------------- Device Info ---------------------
 * Memory : LPDDR5 5600 Mbps, 3.92GiB
 * Board  : M.2, Rev 1.0
 * Chip Offset : 0
 * PCIe   : Gen3 X1 [01:00:00]
NPU 0: voltage 750 mV, clock 1000 MHz, temperature 45'C
NPU 1: voltage 750 mV, clock 1000 MHz, temperature 45'C
NPU 2: voltage 750 mV, clock 1000 MHz, temperature 45'C
=======================================================

Also confirm the PCIe enumeration and kernel-log evidence

bash · pi@raspberrypi: ~
# 1. The DX-M1 should enumerate on the PCIe bus
lspci

# 2. The kernel module dx_dma should have loaded at boot
dmesg | grep -i dx
Expected output PCIe link up
# lspci
00:00.0 PCI bridge: Broadcom Inc. BCM2712 x1 PCI Express Bridge (rev 21)
01:00.0 Processing accelerators: DEEPX Co., Ltd. DX-M1 AI Accelerator (rev 01)

# dmesg | grep -i dx
[    2.102285] dx_dma: loading out-of-tree module taints kernel.
[    2.112716] dx_dma_pcie 0001:01:00.0: enabling device (0100 -> 0102)
[    2.112830] dx_dma_pcie 0001:01:00.0: dw->dx_ver: 3
[    2.182700] dx_dma_pcie 0001:01:00.0: [dx_dma_pcie_probe] Probe Done!!
[    2.799076] dxrt_driver_cdev_init: 1 devices

NVMe SSD (only if installed)

The NVMe slot is connected through the on-board USB 3.2 Gen 1 hub and a Realtek RTL9210B-CG USB-to-NVMe bridge chip. The operating system sees a USB Mass Storage device, not a native NVMe block device, so lsblk is the right tool rather than nvme list.

bash · pi@raspberrypi: ~
# 1. Block-device tree; SSD shows as /dev/sda
lsblk

# 2. USB-side view; RTL9210 NVMe Bridge should be listed
lsusb
Expected output NVMe detected
# lsblk (example with a 256 GB SSD)
NAME        MAJ:MIN RM   SIZE RO TYPE MOUNTPOINTS
sda           8:0    0 238.5G  0 disk
mmcblk0     179:0    0  29.7G  0 disk
├─mmcblk0p1 179:1    0   512M  0 part /boot/firmware
└─mmcblk0p2 179:2    0  29.2G  0 part /

# lsusb
Bus 002 Device 002: ID 0bda:9210 Realtek Semiconductor Corp. RTL9210 NVMe Bridge
Bus 002 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub
The SSD throughput envelope is set by the USB bus

Sequential read peaks at 380–440 MB/s, write at 350–410 MB/s. These ceilings come from the 5 Gbps USB bus and 8b/10b encoding overhead, not the SSD itself. The full setup procedure for the NVMe slot (GPT partition → ext4 → UUID-based /etc/fstab) lives on the NVMe Storage page.

Cellular modem (only if installed)

The cellular slot is also USB-attached, routed through the same internal USB 3.2 Gen 1 hub via the USB Bridge PCBA. The modem enumerates as a USB device in lsusb, exposes one or more /dev/ttyUSBx serial nodes, and provides a network interface that's commonly named usb0 but can vary by modem module.

bash · pi@raspberrypi: ~
# 1. Confirm the modem enumerates on the USB hub
lsusb

# 2. List network interfaces and find the modem's interface name
ifconfig

# 3. Send a ping out the modem's interface (replace usb0 if needed)
ping -I usb0 1.1.1.1
Expected output Cellular online
# lsusb (example with a Quectel RM520N-GL)
Bus 002 Device 003: ID 2c7c:0125 Quectel Wireless Solutions Co., Ltd. RM520N-GL
Bus 002 Device 002: ID 0bda:9210 Realtek Semiconductor Corp. RTL9210 NVMe Bridge
Bus 002 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub

# ping -I usb0 1.1.1.1
PING 1.1.1.1 (1.1.1.1) from 10.x.x.x usb0: 56(84) bytes of data.
64 bytes from 1.1.1.1: icmp_seq=1 ttl=58 time=42.3 ms
64 bytes from 1.1.1.1: icmp_seq=2 ttl=58 time=38.1 ms
Interface names vary by modem module

The cellular interface name is device-dependent. Run ifconfig first to find the actual name on your system; usb0 is the most common but not guaranteed. Full data-connection setup, APN configuration, AT commands, and signal-quality monitoring live on the Cellular Connectivity page.

If lspci, lsblk, or lsusb comes up empty

The most common causes, in order: (1) the 40 mm PCIe FFC is reversed or not fully latched; (2) the M.2 module is not fully seated; (3) the spacers are loose so the pogo pins are not making contact; (4) the USB-C bridge between the Expansion Board and the Raspberry Pi 5 is loose. Power off, reseat, and try again. See Troubleshooting for the full per-symptom diagnostic flow.

6

Run your first inference on the NPU

The sixfab-dx package ships with a pre-compiled YOLOv8 detection demo wired up to run_hello_world. A single command launches it on the DEEPX NPU and opens a window with bounding boxes drawn in real time.

bash · pi@raspberrypi: ~
run_hello_world

A window opens showing the live feed (camera or stored video) with bounding boxes drawn around detected objects in real time.

YOLOv8 object detection running on the Sixfab Edge AI Expansion Board's DEEPX NPU, with bounding boxes and class labels drawn around detected objects in a live camera feed, FPS counter visible
Fig. 9 First inference: YOLOv8 detection running live on the DEEPX NPU.
You're running AI inference on the NPU

A live detection window means YOLOv8 is executing on the DEEPX NPU, not on the Raspberry Pi CPU. That's the Edge AI Expansion Board doing its job, with zero load on the Raspberry Pi 5's ARM cores. Concurrent NVMe writes and LTE/5G traffic do not measurably degrade this throughput.

Watch the NPU work in real time

Open a second terminal while the demo is running and launch dxtop. It prints per-core utilisation, voltage, clock, and temperature, much like htop for the NPU.

bash · second terminal
dxtop

Press q to quit. The DX-M1 begins thermally throttling at approximately 90 °C; sustained inference well below that is the goal, and dxtop is how you watch for it. The full set of monitoring tools and how to plug them into production fleets is documented separately in System Monitoring.

Where the inference data goes

All AI inference happens on-device. There is no outbound data flow unless you build one into your application. If you also installed the NVMe SSD, run_hello_world does not write to it by default; logging inference results to the NVMe is something your application configures explicitly.

AI Model Deployment

Where to next

YOLOv8 is now running on the DEEPX NPU. The hardware, OS, and runtime stack are healthy, and the next chapter is AI Model Deployment: choose more pre-compiled models, bring your own trained model to the NPU, or instrument the deployment for production.