Reinforcement Learning - now in beta

Post-training, all the way to production

RL and SFT, full-weight and LoRA, on frontier open models. The highest-quality custom models through fast, large-scale experimentation.

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Why Together Custom Training

One platform that takes a model from first experiment to production, without leaving the stack.

• State-of-the-art quality
• Cost-efficient at scale
• End-to-end platform

Choose your training method

Both run through a granular Python SDK, with high configurability over every training job.

• Reinforcement learning
  Optimize your model against a reward.

  • GRPO and custom losses
  • Reward and KL tracking per run
  • Frontier open models, full-weight or LoRA

• Supervised fine-tuning
  Teach the model from your own demonstrations.

  • Your data, your formats
  • Instruction and conversation tuning
  • Same SDK, same deployment path

Everything you need to reach production

Your code defines the run. Full configurability, dedicated capacity, and one path from training to serving.

• High-scale experimentation
• Parallel adapters
• One deployment
• Fast test loop

Run many LoRA adapter experiments in parallel inside one training deployment. Converge on your best model in one fast test loop.

• Training precision
  We match the computations between training and inference and minimize any discrepancies, keeping training stable even for the largest runs. Reach the strongest version of your model.

• Dedicated capacity
  Your experiments run on capacity that is completely yours. Predictable performance and predictable cost, with your code defining the run.

• End-to-end platform
  Iterate on experiments, deploy multiple versions, and promote the best to production, with a dashboard tracking every run. One stack carries the model straight to serving.

Backed by frontier research

Every run sits on Together's own training and inference research.

• Raro
• Upipe
• FFT Optimizer

Accuracy (%) on DeepMath reasoning benchmark

• Throughput (TPS)

UPipe vs other SOTA Approaches

82.5% less memory

FFT Optimizer results

25% less memory

security and data privacy
We take security and compliance seriously, with strict data privacy controls to keep your information protected. Your data and models remain fully under your ownership, safeguarded by robust security measures.

preferred partner

• SOC 2 Type II
• ISO 27001:2022