Models & Labs
Together AI launches managed post-training service
Together AI Bloghigh confidence
Why it matters
- →Solves the critical numeric alignment problem between training and inference engines that often breaks RL runs.
- →Provides dedicated GPU resources, eliminating compute contention during expensive post-training loops.
- →Democratizes access to frontier-grade alignment workflows for models like Qwen and Kimi without building internal infra.
Together AI has launched Together Post-Training, a managed service designed to simplify the reinforcement learning (RL) and supervised fine-tuning (SFT) of large language models. The platform supports open-weight models including Qwen 3.8-27B, Kimi K3, and GLM 5.3, offering dedicated GPU resources for full-weight or LoRA training sessions. Key technical features include optimized rollout engines to prevent policy drift and multi-LoRA adapter serving for efficient deployment. The service aims to reduce the infrastructure burden typically associated with custom model development.
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