WOLF Advanced Technology has released a technical whitepaper evaluating four rugged XMC-GPU modules.
The paper compares the WOLF-3476 (XMC-A2000E), WOLF-3576 (XMC-AD2000E), WOLF-3696 (XMC-BW500E), and the WOLF-3676 (XMC-BW2000E), outlining how variations in Graphics Processing Unit (GPU) architecture, memory bandwidth, and power range support mission-ready computing for Intelligence, Surveillance and Reconnaissance (ISR), autonomy, and embedded AI, and describing how each design meets rugged embedded requirements.
The company outlines how the move from Ampere and Ada GPUs to Blackwell increases compute density, improves core utilization, and raises memory throughput from 192 GB per second on GDDR6 designs to 288 GB per second and 384 GB per second on the GDDR7-equipped WOLF-3696 and WOLF-3676, supporting higher-rate AI and sensor processing. The modules address distinct mission needs: the WOLF-3476 and WOLF-3576 fit legacy ISR and balanced compute within 26–50 watt and 30–50 watt ranges, the WOLF-3696 provides GDDR7 performance for SWaP-limited systems, and the WOLF-3676 delivers up to 17.4 TFLOPS at 100 watts with optional PCIe Gen5 for high-density AI workloads.
The whitepaper concludes that the Blackwell-based modules provide improved memory throughput, thermal scalability, and tensor-acceleration capability, giving system designers a clear path for future AI-focused embedded development across mission environments.
