WOLF Advanced Technology
WOLF Advanced Technology develops rugged GPU, FPGA, video I/O, and edge-AI platforms for aerospace, defense, and other high-reliability applications. Its portfolio includes NVIDIA GPU, AMD FPGA, and advanced video-capture solutions in 3U and 6U VPX, XMC, and VNX+ form factors. TARGET A.Ş. is the local technical point of contact in Türkiye for form-factor, compute-performance, I/O, and thermal-architecture selection.
Rugged accelerator modules for parallel computing, AI inference, sensor processing, and mission graphics.
FGX2 solutions that combine modern digital and legacy video interfaces with FPGA-based processing.
Open-architecture modules selected for SWaP, slot profile, data-bus, and cooling targets.
Three compute families from rugged VPX to small form factor.
The appropriate WOLF module is selected by evaluating workload, video and sensor I/O, slot profile, PCIe bandwidth, power, and cooling together.
WOLF-1636 rugged GPU
A module that brings the NVIDIA RTX 5000 Blackwell Embedded GPU into a 3U VPX form factor for HPEC, AI, and mission-visualization applications.
- Blackwell GPU with 24 GB GDDR7 memory
- PCIe x8 or x16 configurations
- SOSA-aligned and OpenVPX slot-profile options
WOLF-N4XP Jetson Orin NX
A compact VNX+ node based on NVIDIA Jetson Orin NX 16 GB that combines AI, HPC, camera, and secure-storage functions.
- Jetson Orin NX with 16 GB LPDDR5
- MIPI CSI-2, DisplayPort, or HDMI options
- PCIe Gen4, Ethernet, and NVMe SED
WOLF-3180 video I/O
An FGX2-based XMC mezzanine module for capturing and converting 4K SDI and legacy video sources and transferring them to the host processor.
- Two 12G-SDI inputs and configurable SDI outputs
- DisplayPort and analog-video options
- FPGA-based capture and conversion
Compute architecture
From mission workload to a thermally validated module.
WOLF product selection addresses compute and I/O needs together with open-architecture form factor, bus, power, and cooling constraints.
01 / WORKLOAD
Define the compute and imaging mission
Separate AI, HPEC, sensor fusion, video capture, encoding, and display-output requirements.
02 / STANDARD
Select form factor and slot profile
Match 3U or 6U VPX, XMC, or VNX+ to mechanical space, backplane, and open-architecture objectives.
03 / DATA PATH
Budget I/O and bandwidth
Validate PCIe, Ethernet, SDI, DisplayPort, camera, and other sensor paths against the end-to-end data flow.
04 / THERMAL
Verify power and cooling margin
Check TGP, conduction cooling, wedgelocks, airflow, and environmental requirements for the selected configuration.
Why WOLF?
WOLF combines high-density GPU/FPGA computing with video I/O, open-architecture form factors, and rugged thermal engineering.
Workload-specific acceleration
NVIDIA GPU, Jetson edge AI, and FPGA video-processing options are matched to the actual workload and I/O requirements.
Open-architecture form factors
VPX, XMC, and VNX+ modules are placed in the system architecture after SOSA, MOSA, and VITA alignment is verified at product level.
Thermal and mechanical integrity
For high-power-density devices, compute performance, cooling path, power limit, and environmental packaging are evaluated together.
Rugged VPX GPU, XMC video I/O, and VNX+ edge-AI solutions
WOLF Advanced Technology develops 3U and 6U VPX GPU/FPGA modules, XMC video-capture and conversion cards, and VNX+ edge-AI nodes. These platforms target HPEC, artificial intelligence, sensor fusion, mission graphics, and advanced video-I/O applications.
The correct product is selected by evaluating compute architecture, memory, video and sensor I/O, PCIe or Ethernet bandwidth, slot profile, software support, power, and thermal limits together.
WOLF product selection and integration support in Türkiye
TARGET A.Ş. provides local technical support in Türkiye for WOLF Advanced Technology VPX, XMC, and VNX+ form-factor selection, GPU/FPGA performance and I/O planning, backplane and slot-profile assessment, and thermal integration. Features, compatibility, and environmental qualifications are verified against the current documentation for the selected model.
