lightseekorg/tokenspeed

TokenSpeed positions itself as a speed-of-light LLM inference engine — a claim every other inference project also makes, so the question is what the benchmarks actually show. If the repo delivers on even half the throughput improvement over vLLM or llama.cpp on comparable hardware, that is worth thirty minutes on a Saturday. Inference speed is one of the last places where a well-targeted open-source project can carve out real differentiation, because the gap between best and second-best directly translates to dollars at any meaningful request volume. Reservation: the description is thin and the project is new, which means the benchmarks may be cherry-picked or hardware-specific. Treat this as a project to watch and validate on your own stack rather than a production drop-in. -> Best for: AI engineer or SaaS team running self-hosted LLM inference who cares about tokens-per-second per dollar