On Nov 5, Together AI launched Together Compiler for continual agentic optimization of AI inference.
On Nov 5, Together AI launched Together Compiler for continual agentic optimization of AI inference.
Together AI published this on Nov 5, 2026 (source: together.ai).
Together AI introduced Together Compiler (TKCC), described as a continual optimization loop that uses high-throughput agents and persistent engines to tune inference across shifting models, hardware, and traffic shapes. The company says that in under 24 hours TKCC reached up to 2.6× higher tokens per second on frontier open models (including Kimi K3, GLM 5.3, MiniMax M3.1-Flash, and DeepSeek v4.1-Flash), posted SemiAnalysis InferenceX low-latency marks of 1111 TPS on MiniMax M3.1-Flash and 1205 TPS on DeepSeek v4.1-Flash, and beat available open-source megakernels by about 1.7× on a Llama 1B batch-size-1 setting, enabled by roughly 252× higher experiment throughput versus baseline agentic optimizers. Together says the compiler is already serving production traffic and also generalizes beyond LLM inference.
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