WOLF-N4XP
Overview
Secure AI and HPC Node with NVIDIA Jetson Orin NX
The VNXP-ORIN-NX is an autonomous, secure compute node which provides advanced AI and HPC processing capabilities, PCIe Gen4, network data transfer, and cyber security features to ensure data is being protected. The small VNX+ form factor allows the technology to be deployed into extremely small spaces.
The NVIDIA Jetson Orin NX includes an embedded Ampere GPU which provides the CUDA cores and Tensor cores for data processing, deep learning inference, machine vision, audio processing and video encoding/decoding. The 1024 CUDA cores run at up to 918MHz providing GPGPU processing, while the 32 Gen3 Tensor cores provide the underlying architecture required for an efficient inference engine which can achieve up to 100 TOPS (INT8, Sparse) of deep learning inference computing.
The integrated NVMe SED (Self Encrypting Drive) supports data encryption providing protection for sensitive information without significantly affecting read/write speeds to the drive.
Block Diagram
The block diagram depicts a compact VNX+ compute node built around Jetson Orin NX, highlighting the internal CPU/GPU/Tensor processing blocks and the system I/O paths (PCIe, network, and storage). It emphasizes the data path from sensors/peripherals into Orin acceleration and the secure storage path via the integrated NVMe self-encrypting drive.
Features
WOLF-N4XP is an autonomous, secure VNX+ compute node built around the NVIDIA Jetson Orin NX 16GB to deliver embedded AI and HPC processing in an extremely small rugged module. It integrates an 8-core ARM64 CPU, an embedded Ampere GPU (1024 CUDA cores, 32 Tensor cores), and a 1TB NVMe self-encrypting drive, with module power configurable from 20W to 35W. The platform provides PCIe Gen4 expansion, 1000BASE-T Ethernet, and system management features intended for deployment in space- and airborne-constrained environments.
GPU Features
- Jetson Orin NX 16GB with embedded Ampere GPU:
- 1024 CUDA cores, 32 Tensor cores
- CUDA 12, OpenGL 4.6, OpenGL ES 3.2, Vulkan 1.3
- Embedded 8-core NVIDIA Cortex ARM64 CPU, up to 2GHz
- 16 GB LPDDR5, 128-bit, up to 102.4 GB/s
- 2x Deep Learning Accelerator (DLA) v2 engines
- Vision Accelerator engine for 7-way VLIW Vision Processor v2
- Dedicated programmable audio processor
- 2x video encode (NVENC) and decode (NVDEC) with up to 4K-UHD encode resolution
- Video output: DisplayPort MST or HDMI
- Camera serial interface: MIPI CSI-2 with D-PHY 2.1 (20 Gbps), 8 lanes
Connectivity / System Management
- Storage: NVMe SED, 480GB TLC or 160GB pSLC options
- PCIe Gen4 x4 and x1 to rear connector
- 1000BASE-T Ethernet
- USB 3.2 and USB 2.0
- Serial Peripheral Interface (SPI) I/O
- Jetson Orin security features
- IPMI controller for system management
- WOLF BSP with Jetson Linux and JetPack SDK
Mechanical / Open Systems Architecture
- High level of ruggedization:
- Operating temperature: - 40° to +85°C
- Storage temperature: - 55° to +105°C
- Vibration: Random (12 grms, 5- 2K Hz) and Sine (10g, 5 to 2KHz)
- Shock: 40G peak
- Dimensions: 101.6mm x 78.1mm x 19 mm
- Weight: TBD
- ANSI/VITA 90 VNX- form factor
Specifications
Key configuration and performance parameters for WOLF-N4XP are summarized below for quick comparison. Values shown reflect the standard module configuration; contact WOLF if you need a tailored build or a specific payload profile.
Configuration Guide
The following table defines a series of common order codes for the VNXP-ORIN-NX module. The asterisks denote characters of the part number that are defined based on common configuration options.
Some configuration options for this module include:
- Display config options
- Conformal coatings
Contact Sales for the latest Ordering Numbers and available options.
Representative ordering numbers
| Ordering Number | Description |
|---|---|
| N4XP33-F***-***VNXPvA0 | VNX+ compute node with NVIDIA Jetson Orin NX 16GB, DisplayPort output, MIPI CSI-2, 1TB NVMe SED, PCIe Gen4 |
| N4XP33-F***-***VNXPvA0 | VNX+ compute node with NVIDIA Jetson Orin NX 16GB, HDMI output, MIPI CSI-2, 1TB NVMe SED, PCIe Gen4 |
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FAQ
Choose WOLF-N4XP when you need an autonomous, SWaP-optimized compute node that can be deployed in extremely small spaces while still delivering meaningful AI/HPC capability.
This module is typically selected for:
- Edge AI / machine vision nodes where size and power (20W–35W) are primary constraints
- Systems that benefit from an integrated compute + storage node rather than a chassis slot card
- Deployments that need built-in security features and secure local storage for sensitive data
If your application requires large discrete-GPU performance, many PCIe lanes, or high-power cooling headroom, a VPX GPU module will generally be the better architectural fit.
An integrated NVMe self-encrypting drive (SED) is a system-level security enabler.
Practical benefits:
- Helps protect sensitive data at rest without requiring software-only encryption that can add CPU overhead
- Supports a more self-contained edge node—data can be acquired, processed, and stored locally in the same module
- Simplifies deployment in environments where removable media handling and key management policies are strict
Net: for edge nodes operating disconnected or intermittently connected, secure onboard storage is often as important as TOPS.
Confirm early because VNX+ integration is typically I/O- and software-driven:
- Video output choice: DisplayPort (MST) or HDMI (configuration dependent). Decide early based on your display ecosystem and carrier breakout.
- Camera interface: MIPI CSI-2 (lane count and D-PHY capability are configuration dependent). Validate sensor compatibility and cable/connector strategy.
- PCIe expansion: provides PCIe Gen4 x4 and x1 to the rear connector—confirm lane budgeting for any add-on devices.
- Networking: includes 1000BASE-T Ethernet—confirm whether that is sufficient for your data movement needs.
- Software baseline: WOLF BSP with Jetson Linux and JetPack SDK—align your application stack and container/runtime expectations to that baseline.
Most bring-up issues on Orin systems are camera + BSP alignment, so treat sensor selection and software ownership as first-order decisions.
Key ordering-time decisions are generally integration and deployment choices:
- Display configuration: DisplayPort vs HDMI
- Storage configuration: NVMe SED capacity/type options are referenced (ensure it aligns with endurance and security requirements)
- Conformal coating: environmental robustness vs rework/serviceability
- Power configuration (20W–35W): align to thermal headroom and performance goals
Contact Sales for the latest ordering numbers and available options.