Tag
A custom digital chip designed gate-by-gate achieves over 56,000 tokens/sec running a Transformer with KV cache at just 80 MHz, prototyped on an FPGA.
Luthira fully implements MicroGPT on an FPGA array, without GPU, PyTorch, or CPU inference loop, achieving inference speeds of 50,000+ tokens per second, demonstrating the potential of hardware-based Transformers.