AWS FPGA finally escapes HLS hell

🔥 What happened David Rostcheck published a complete Vitis HLS-to-AWS F2 FPGA toolchain bridge – filling a gap that persisted for eight years despite AWS FPGA availability. He validated it with TinyBERT fine-tuned for address Named Entity Recognition. 💡 Why it matters The four-level methodology (FP32 PyTorch → bit-accurate quantized Python → HLS C-sim → physical FPGA) finally makes error localization tractable – and lets coding agents implement FPGA designs autonomously. The catch: performance is worse than CPU/GPU because weights stream from host DRAM. ⚡ Our take An honest paper: the author admits his implementation is slow. But the workflow itself is the real contribution – anyone chasing FPGA acceleration now has a documented path instead of folklore.