Autonomous unmanned vehicles are now expected to do more than follow preplanned routes. They’re operating in GPS-denied, communication-limited, and high-threat environments — sensing, deciding, and acting on their own. To succeed, they need on-board computing that can handle massive sensor streams, run advanced AI models, and survive heat, shock, vibration, and tight power budgets.
This whitepaper dives into how next-generation NVIDIA GPUs — Jetson AGX Orin/Thor, Ada, and Blackwell — combine with WOLF Advanced Technology’s FGX FPGA to bring that capability to the tactical edge. You’ll see how real-time video capture and conversion, ultra-low-latency AI inference, and safety-certifiable design (DO-254, DO-178C) come together to power UAVs, UGVs, USVs, and other autonomous platforms across air, land, sea, and subsea missions.
Read how this technology is shaping the next era of flight: [View/Download] AI at the Tactical Edge: Rugged GPU + FPGA Solutions for Next-Gen Unmanned Systems Whitepaper