Together AI announces strategic partnership with Moonshot AI to natively serve Kimi models
Blog post from Together AI
Together AI has announced a strategic partnership with Moonshot AI, focusing on advancing open-source large-scale Mixture-of-Experts (MoE) architectures. This collaboration makes Together AI the launch platform for Moonshot's model releases, starting with the Kimi K3, a 2.8 trillion parameter sparse MoE model designed for long-horizon coding and knowledge-intensive tasks. Kimi K3 introduces innovations like Kimi Delta Attention and Attention Residuals, offering improved training efficiency and performance, competing with proprietary systems. The partnership provides developers with day zero access to these models via Together AI’s infrastructure, featuring options like serverless deployment, provisioned throughput, and dedicated inference with SLA-backed products, ensuring predictable pricing and no data retention. Developers can further customize and post-train Kimi models using Together AI’s Python SDK, enabling seamless transitions from experimentation to production. This alliance aims to provide developers with scalable, flexible, and high-performance model deployment without vendor lock-in, aligning with the needs of companies like Cursor and Y Combinator that rely on Together's infrastructure for production traffic.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Model Fine-tuning | 4 | 896 | 206 | 76 | +18% |
| Serverless | 2 | 747 | 240 | 95 | -27% |
| Reinforcement learning | 1 | 98 | 52 | 31 | +23% |
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