Post by Siemens EDA (Siemens Digital Industries Software)

Have you ever wondered how AI hardware is made? The secret is more hardware. To build the chips that train AI models, you need specialized hardware to verify those chips before they even exist. AI accelerators are among the most complex chips ever designed: ✓ Billions of transistors (NVIDIA's latest: 208B) ✓ Massive parallel processing arrays ✓ Novel architectures with no prior reference ✓ Software stacks that need quadrillions of test cycles You can't verify that in simulation only. It would take years. That's where hardware-assisted verification comes in: ✓ Run your pre-silicon AI chip design in an FPGA prototype at 1,000-10,000x simulation speed ✓ Run actual AI training software workloads on pre-silicon hardware ✓ Test PyTorch, TensorFlow, and custom frameworks before tapeout ✓ Validate hardware-software interaction in weeks, not years We're using hardware to build hardware to train AI to...well, you get the idea. It's hardware all the way down. #AI #Semiconductors

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