fguzman82/gateGPT

An inference chip design that runs a real LLM (Qwen2.5-0.5B) on FPGA — one transformer decoder layer in RTL, every silicon value bit-exact against a golden model. 0.56 tok/s measured, a 140× climb, full evidence trail.

Machine learning on FPGAs using HLS

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.

~1300 line, minimal, extensible LLM inference engine built from scratch.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Research and Materials on Hardware implementation of Transformer Model

Opensource software/hardware platform to build edge AI solutions deployed on FPGA or custom ASIC hardware.

An transformer based LLM. Written completely in Rust

Dataflow compiler for QNN inference on FPGAs