Together Compiler: Continuous Compilation for AI inference

Together AI introduces Together Compiler (TKCC), a continual agent-driven system that recompiles inference engines as traffic drifts, using persistent engines, a two-tier fast/slow engine setup for throughput-fidelity balance, and a custom cost model for parallelism selection. TKCC reports 1.3-3x higher TPS across frontier open-source models in under 24 hours, state-of-the-art low-latency results of 1111 TPS on MiniMax M3.1-Flash and 1205 TPS on DeepSeek v4.1-Flash on SemiAnalysis' InferenceX benchmark, and 1.7x over open-source megakernels on Llama 1B batch size 1, enabled by 252x higher experiment throughput than baseline agentic systems. It also generalizes to weather modeling, PDE, time-series, and biology workloads.