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AI CURATED HOT STORY · 11/5/2026

Together AI Launches Together Compiler for Agent-Driven Hot-Reloaded Inference

1 reports archived1 independent sourcesupdated 11/5/2026, 16:06:40
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Together AI released Together Compiler, a system in which AI agents continuously re-tune the inference forward pass as production traffic shifts. Its core is a persistent serving engine that hot-reloads agent-written forward passes without restarts, backed by a 12-layer fast screening tier and a 60-layer slow tier that confirms gains on real traffic. Together claims up to 2.6x TPS over the best open configurations on SemiAnalysis InferenceX, though some gains are marginal and all figures are self-reported; the system is closed source and already live on its serverless endpoints.

LATEST/Together AI released Together Compiler, a system in which AI agents continuously re-tune the inference forward pass as production traffic shifts. Its core is a persistent serving engine that hot-reloads agent-written forward passes without restarts, backed by a 12-layer fast screening tier and a 60-layer slow tier that confirms gains on real traffic. Together claims up to 2.6x TPS over the best open configurations on SemiAnalysis InferenceX, though some gains are marginal and all figures are self-reported; the system is closed source and already live on its serverless endpoints.

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Coverage timeline

Total 1 reports · Latest first
  1. Marktechpost (@Marktechpost)T2·74 pts

    Together AI Launches Together Compiler for Agent-Driven Hot-Reloaded Inference

    • A persistent engine with hot reload lets agents run 252x more experiments than restart-based approaches
    • A two-tier scheme screens candidates with a 12-layer fast tier and confirms gains on real traffic with a 60-layer slow tier
    • Together claims up to 2.6x TPS, but some model gains are marginal and all numbers are self-reported; the system is closed source