Tera Lab is about FPGA development and edge acceleration.
The focus is AI computing infrastructure — from the silicon running the weights to the systems decisions that determine whether an idea is actually practical.
Current focus
- AMD/Xilinx FPGAs (KV260), Vitis HLS for kernel development, and the growing ecosystem around efficient inference — BitNet, GGUF, llama.cpp. On the software side: Python, C++.
- FPGA-accelerated vector-based document indexing and retrieval.
Get in touch
If something here is useful, wrong, or you're working on something adjacent — I'd like to hear it.
