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Together AI's new compiler leverages autonomous agents to dynamically optimize inference workloads, achieving up to a 2.6x throughput improvement over static configurations within a single day. This development highlights the practical application of AI-driven systems for managing the variable traffic patterns inherent in modern large language model deployments. By continuously re-optimizing the forward pass, the tool addresses a critical bottleneck in scaling inference efficiency without manual intervention.
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Sources coveringMarkTechPost, IDC, Hugging Face, Latent Space
Together AI Releases Together Compiler: Agents Make Inference Up to 2.6x Faster
MarkTechPost1 min read
Together AI released Together Compiler, an agent-driven loop that keeps re-optimizing the inference forward pass as traffic shifts. It beat the best InferenceX configurations by up to 2.6x TPS in under 24 hours per model. The post Together AI Releases Together Compiler: Agents Make Inference Up to 2.6x Faster appeared first on MarkTechPost.
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