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Together AI and Meta partner to bring PyTorch Reinforcement Learning to the AI Native Cloud

December 3, 2025

By 

Together AI Training and Research, The PyTorch team at Meta

Summary

Together AI and the PyTorch team at Meta are partnering to build an open-source reinforcement learning framework for training agentic AI systems. This integration will provide a complete platform for building, training, and deploying next-generation AI agents.

Reinforcement learning for modern agentic systems

Reinforcement learning (RL) is becoming a powerful capability within training pipelines of modern agentic models. As new agentic use cases emerge, models increasingly need to operate over longer time horizons, interact with dynamic environments, and perform tasks like reasoning and tool use across multi-step workflows. RL provides the mechanism to meet these demands—resulting in models with better strategies, stronger reasoning, and behavior that aligns more effectively with desired goals.

A partnership to unlock high-performance reinforcement learning 

We’re excited to announce a partnership between Together AI and the PyTorch team at Meta that brings together:

Together AI Research

The AI Native Cloud provider for building, training, and deploying large-scale AI models for modern agentic systems.

The PyTorch team at Meta

The creator and leading maintainer of PyTorch, the world's most widely adopted open-source training framework.

Commitment to open source

Empowering the AI community to build, experiment, and advance the next generation of agentic systems.

Through this partnership, we are building a powerful, open source RL framework on the PyTorch stack, integrating sophisticated high-performance RL into the Together AI platform. This RL service will complement Together’s existing suite of platform services—that include supervised fine-tuning, sandboxed environments, evaluation tools, model optimizations, and high-performance inference—to provide advanced capabilities for next-generation agentic systems. The result is a complete platform where teams can build, train, and deploy frontier agentic systems without piecing together disparate tools.

Get involved!

We are actively working with teams building the next generation of AI models and applications. If you’re exploring what’s possible with modern training techniques—whether for next-generation AI applications, advanced agentic systems, or frontier model development—we’d love to connect and discuss how this partnership can accelerate your work.

Read more about our first collaboration with TorchForge on Instant Clusters in this blog post—and try it out yourself today!

We look forward to hearing from you!

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Build

Benefits included:

  • ✔ Up to $15K in free platform credits*

  • ✔ 3 hours of free forward-deployed engineering time.

Funding: Less than $5M

Grow

Benefits included:

  • ✔ Up to $30K in free platform credits*

  • ✔ 6 hours of free forward-deployed engineering time.

Funding: $5M-$10M

Scale

Benefits included:

  • ✔ Up to $50K in free platform credits*

  • ✔ 10 hours of free forward-deployed engineering time.

Funding: $10M-$25M

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Recall that a palindrome is a number that reads the same forward and backward. Find the greatest integer less than $1000$ that is a palindrome both when written in base ten and when written in base eight, such as $292 = 444_{\\text{eight}}.$

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