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Home/Models & Labs
Models & Labs

Together AI Enhances Model Inference Configuration

Together AI Blog·July 29, 2026·high confidence

Why it matters

  • →Enables seamless rollouts and A/B testing with zero downtime.
  • →Ensures efficient resource allocation and scaling through capacity-aware traffic splitting.
  • →Provides consistent performance with immutable configurations and easy rollback options.
Together AI Enhances Model Inference Configuration
©Together AI Blog

Together AI has unveiled a new architecture for model inference that combines endpoints, deployments, and configurations with a capacity-aware traffic split. This setup allows for advanced features like rollouts and A/B testing while maintaining zero-downtime updates. The platform uses immutable configurations to ensure consistent performance and easy rollback options. This approach simplifies the deployment process and enhances the reliability of AI applications by optimizing resource allocation and scaling.

Read original

The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

JBS Dev on AI's Last Mile and Imperfect Data — AI News1vLLM v0.22.0 Release Enhances Model Performance — vLLM Releases2OpenAI Unveils Deployment Simulation for AI Models — OpenAI3Enterprise AI Focuses on Inference Optimization — The AI Daily Brief4MIT and Microsoft Enhance AI Workflow Efficiency — MIT News AI5Scaling AI Agents with Redis Iris — Cole Medin6Hugging Face Rethinks Model Routing as System Optimization — Hugging Face Blog7Model Context Protocol Update Eases AI Integration — TechCrunch AI8Together AI Enhances Model Inference ConfigurationAI Infrastructure Demands New Architectural Approach — MIT Technology Review AI9Together AI automates model rollouts with metric gates — Together AI Blog10Jev as a Smart Router for Agent Harnesses — Sam Witteveen11Liquid AI releases efficient on-device agent model — Hugging Face Blog12Together AI automates inference optimization with agents — Together AI Blog13May 12You are hereNov 4

How we got here

  1. 1
    JBS Dev on AI's Last Mile and Imperfect Data

    AI News · May 12, 2026 · Background

  2. 2
    vLLM v0.22.0 Release Enhances Model Performance

    vLLM Releases · May 31, 2026 · Related

  3. 3
    OpenAI Unveils Deployment Simulation for AI Models

    OpenAI · June 16, 2026 · Related

  4. 4
    Enterprise AI Focuses on Inference Optimization

    The AI Daily Brief · June 19, 2026 · Related

  5. 5
    MIT and Microsoft Enhance AI Workflow Efficiency

    MIT News AI · June 25, 2026 · Related

  6. 6
    Scaling AI Agents with Redis Iris

    Cole Medin · July 9, 2026 · Related

  7. 7
    Hugging Face Rethinks Model Routing as System Optimization

    Hugging Face Blog · July 15, 2026 · Related

  8. 8
    Model Context Protocol Update Eases AI Integration

    TechCrunch AI · July 20, 2026 · Related

What happened next

  1. 9
    AI Infrastructure Demands New Architectural Approach

    MIT Technology Review AI · September 4, 2026 · Related

  2. 10
    Together AI automates model rollouts with metric gates

    Together AI Blog · September 22, 2026 · Same story

  3. 11
    Jev as a Smart Router for Agent Harnesses

    Sam Witteveen · September 29, 2026 · Related

  4. 12
    Liquid AI releases efficient on-device agent model

    Hugging Face Blog · October 13, 2026 · Related

  5. 13
    Together AI automates inference optimization with agents

    Together AI Blog · November 4, 2026 · Same story

Follow this story

Open the full story →

Together AI Enhances Open-Weight Inference Platform

3 developments

  1. Jul 23 · Together AI Blog
    Together AI Enhances Open-Weight Inference Platform
  2. Jul 29 · Together AI Blog
    Together AI Enhances Model Inference Configuration (This article)↳ Together AI adds capacity-aware traffic splitting for seamless rollouts, A/B testing, and zero-downtime updates using immutable configuratio
  3. Jul 31 · Together AI Blog
    Together AI Introduces Autoscaling for LLM Inference↳ Together AI introduces autoscaling for LLM inference based on in-flight requests and GPU utilization to address cold starts and misleading C

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