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Together AI launches Post-Training service for custom AI models with RL and SFT

Together Post-Training lets teams train custom open-weight AI models with RL or SFT on dedicated GPUs, with a reduced launch price of $9 per GPU-hour of B200 for eight weeks.

Together AI launches Post-Training service for custom AI models with RL and SFT — image from Together AI
Image: Together AI

Summary

Together AI introduced Together Post-Training, a service for building custom models using reinforcement learning from environment rewards and supervised fine-tuning. You define the training loop, and Together runs the infrastructure. It launches with several open-weight models and supports LoRA and, for select models, full-weight training.

What changed

  • New service for custom model training via RL and SFT, with the full training loop defined by the user
  • Supports LoRA, including multiple adapters on shared GPUs, and full-weight runs for select models
  • Launch models include Muse Spark Open, GLM 5.3, Kimi K3 and Qwen 3.8-27B, with more coming in the coming weeks
  • Multi-LoRA adapter serving now supported in Dedicated Model Inference
  • Tinker users can migrate by changing one import line

Availability

Available now

“the feedback we received was invaluable in developing the product which now everyone can use.”

Pricing

PlanPrice, as statedChecked
Launch price for the first eight weeks$9 per GPU-hour of B200 usage“For the first eight weeks, we are offering Together Post-Training at a reduced price of $9 per GPU-hour of B200 usage.” source

Prices as stated by the company; we don’t convert or estimate.

Founder takeaway

If you have a narrow, repeated AI task and want a cheaper specialist model, the SDK and cookbooks are a low-effort way to test it, especially during the eight-week reduced price. Check the billing is per GPU-minute before scaling runs.

Source

Together AITogether Post-Training: frontier-grade model shaping, the way that fits you

Announced Checked

Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.

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