VNX+ GPGPU: Enabling Edge AI Processing with the NVIDIA® Jetson Orin NX
As defense programs accelerate their transition to AI-enabled platforms, the embedded computing hardware selected for these systems carries enormous consequence. A wrong choice in processor architecture, form factor compliance, or thermal design can turn into mission capability gaps that are difficult and expensive to correct in the field.
The VNX+ GPGPU module addresses this challenge directly. It is a compact, conduction-cooled AI supercomputer built around the NVIDIA® Jetson Orin NX, and designed to comply with the ANSI/VITA 90.0-2026 (VNX+ Base Standard) while maintaining full SOSA™ alignment. This blog dives into the VNX+ GPGPU’s architecture, interface design, and capabilities in tactical systems.
Platform Architecture: NVIDIA Jetson Orin NX at the Core
GPU and AI Compute
At the heart of the VNX+ GPGPU is the NVIDIA® Jetson Orin NX, built on the NVIDIA® Ampere architecture. The module integrates 1024 NVIDIA® CUDA cores alongside 32 Tensor Cores. This combination enables the board to achieve 100 TOPS INT8 precision.
CPU Subsystem
Complementing the GPU, the CPU is an 8-core Arm® Cortex® 64-bit processor, improving processing reliability in mission-critical deployments.
Memory and Storage
The VNX+ GPGPU is configured with 16 GB of LPDDR5 DRAM on a 128-bit memory. The wide memory interface is architecturally important for AI workloads, as it directly influences how quickly a model can process input and generate output.
For storage, it provides 240 GB of NVMe, supporting the deployment across applications that require wide storage capability.
Connectivity & I/O Architecture
PCIe Gen 4 Interface
The VNX+ GPGPU modules offers four PCIe Gen 4 interface lanes, representing a significant bandwidth capability.
Networking Interfaces
Two SGMII ports are provided, enabling integration with other systems for reliable networking.
Display and USB
A Display Port output and both USB 2.0 and USB 3.2 interfaces are provided for display terminals or digital video processors.
Serial and Control I/O
The module provides I/O options including, two UART RS-232 (Tx/Rx) interfaces and two GPIOs, that support integration with legacy serial subsystems, controllers, or discrete signal interfaces which are common in embedded defense architectures.
Mechanical and Thermal Design
VNX+ Form Factor Compliance
The VNX+ GPGPU module measures 3.5 x 3.07 x 0.75 inches and complies with ANSI VITA 90.0-2026 VNX+ Base Standard. The module weighs approximately 0.55 lbs, reducing integration risk during system assembly and facilitating hardware upgrades over the platform lifecycle.
Conduction Cooling and Operating Temperature
The VNX+ GPGPU Module is conduction-cooled, with no onboard fans or active airflow components. All thermal energy is dissipated through a conduction-cooled design, essential for sealed, rugged platforms where reliable cooling is unavailable.
The operating temperature range spans -20°C to +85°C, covering the extended temperature regime required for ground vehicle, airborne, and maritime defense deployments across harsh climate & environments.
Conclusion
In conclusion, the VNX+ GPGPU module represents a well-specified edge AI solution for mission-critical programs requiring AI processing in rugged systems. The combination of the NVIDIA® Jetson Orin NX compute architecture, 100 TOPS INT8 inference throughput, PCIe Gen 4 connectivity, conduction-cooled thermal design, and full VITA 90 standards compliance makes it a technically credible module for edge AI deployments across a range of defense and aerospace platforms.
Tekdense engineers AI computing solutions for the most demanding defense, aerospace, and mission-critical applications.
To request a datasheet, discuss platform integration requirements, or explore other VNX+ modules, contact Tekdense at sales@tekdense.com or visit www.tekdense.com
