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Together AI introduces Together Compiler for continuous AI inference optimization

AITogether AI introduces Together Compiler (TKCC), a continual optimization loop that uses agents to tune inference for changing traffic and hardware. The company says TKCC reaches up to 2.6x higher TPS across frontier open-source models on SemiAnalysis' InferenceX AgentX benchmark, and 1.7x over open-source megakernels on Llama 1B at batch size 1.

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The post explains how continuous agent-driven recompilation tracks shifting traffic and hardware, with benchmark numbers against megakernels and InferenceX baselines.

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Together AI Blog · together.aiPublished · added here

Original title: Together Compiler: Continuous Compilation for AI inference