OpenTPU launches AI-designed open-source hardware accelerator running Qwen3, LFM2.5 models on Kintex-7 FPGA; achieves 85% DRAM bandwidth, 82 tokens/second decode speed.

GitHub - FeSens/openTPU: An open-source AI accelerator, developed by AI: RTL, ISA, simulator, compiler and profiler in one repo. Runs Qwen3, LFM2.5 and Qwen3.5 on a Kintex-7 PCIe card.

An open-source AI accelerator, developed by AI. openTPU brings the lessons of auto-arch-tournament to AI accelerators. It asks two questions: how far can AI agents go at hardware design, and can they build the chip that runs their own inference? otpu-chat running LFM2.5-230M on the FPGA card (left), with otpu-smi showing the card's utilization and DRAM bandwidth (right). A place to learn openTPU is also a learning project. The whole accelerator lives in one small monorepo that you can read end t...