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Together AI unveils compiler for continuous AI inference optimization

By PulseAugur Editorial · [1 sources] ·

Researchers at Together AI have developed the Together Compiler (TKCC), a novel system designed for continuous optimization of AI inference workloads. TKCC addresses the challenge of rapidly evolving AI models and diverse traffic patterns by employing an agent-based loop that balances measurement throughput and computational fidelity. The system introduces a Tiered Persistent Engine to reduce engine launch overhead and a cost model for selecting optimal parallelism configurations. In production, TKCC has demonstrated significant performance improvements, outperforming highly optimized kernels and open-source engines on various frontier models and hardware platforms, serving trillions of tokens across their fleet. AI

IMPACT This compiler could significantly improve the efficiency and speed of deploying and running AI models in production environments.

RANK_REASON The item is a research paper detailing a new system for AI inference optimization. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Together AI unveils compiler for continuous AI inference optimization

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16 / 100
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The item is a research paper detailing a new system for AI inference optimization. [lever_c_demoted from research: ic=1 ai=1.0]
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infra, model release
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Reyna Abhyankar, Dylan Lim, Drew Wadsworth, Venkata Hasith Vattikuti, YuTong Julia Zhang, Jung Hwan Heo, Taeksang Kim, Kesavan Ramakrishnan, Evangelene Stanley, Xinyu Fang, Daniel Y. Fu, Simran Arora ·

    Together Compiler: Continual Compilation for AI Inference

    arXiv:2611.14681v1 Announce Type: new Abstract: Today's AI workloads are rapidly changing: new models are released more often, model architectures are increasingly diverse, and traffic distributions change frequently. The challenge we face at Together AI is continual optimization…

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