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Together AI Integrates PyTorch Reinforcement Learning Capabilities into AI Cloud Platform

Partnership Provisional 85% confidence first seen 3 December 2025, 00:00

Together AI partnered with Meta to integrate PyTorch Reinforcement Learning tools into Together's AI cloud platform, enabling developers to build and deploy reinforcement learning agents. The platform now supports distributed training across GPU and CPU nodes through TorchForge pipelines, with demonstrated capabilities including training models to play games and handle coding tasks.

Source coverage

3 Dec, 00:00 Together AI and Meta partner to bring PyTorch Reinforcement Learning to the AI Native Cloud Together AI 3 Dec, 00:00 How to run TorchForge reinforcement learning pipelines in the Together AI Native Cloud Together AI

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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Together AI Integrates PyTorch Reinforcement Learning Capabilities into AI Cloud Platform

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Every AI story that matters, in your inbox by 8am.

Every AI story that matters,
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