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[ARTICLE · art-153459] src=runtimewire.com ↗ pub= topic=ai-infrastructure verified=true sentiment=↑ positive

Together AI launches custom SFT and RL training for open models

Together AI launched Together Post-Training on October 19, a managed service that lets developers customize open models with supervised fine-tuning (SFT) or reinforcement learning (RL), CEO Vipul Ved Prakash said. Developers define their data, rewards, environments and training loop while Together runs the GPU infrastructure and deployment, and they keep the resulting weights. The service extends Together's AI cloud from model access and inference into custom training, letting the company sell infrastructure and deployment around each experiment.

by read1 min views5 publishedOct 20, 2026
Together AI launches custom SFT and RL training for open models
Image: Runtimewire (auto-discovered)

The service lets developers set the training loop and keep the resulting weights, while Together supplies tuned GPU infrastructure and deployment.

        By [Ryan Merket](https://runtimewire.com/author/ryan-merket)
        · Published 

Primary source: [X](https://x.com/togethercompute/status/2112241595273621857)

Why it matters #

Together is extending its AI cloud from model access and inference into custom training. Developers get control of training recipes and downloadable weights; Together can also sell the infrastructure and deployment around each experiment.

Together AI CEO Vipul Ved Prakash said the company launched Together Post-Training on October 19th, opening a managed service for developers to customize open models with supervised fine-tuning (SFT) or reinforcement learning (RL). In a thread on X, Together said developers can define their data, rewards, environments and training loop while it runs the underlying infrastructure.…

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