Together AI — AI for Software Development

When you are building software with artificial intelligence, managing infrastructure for open-source models can quickly become complex and costly. Together AI solves this challenge by delivering a complete AI stack that removes the need to handle low-level infrastructure. You can access high-performance serverless inference APIs for models like DeepSeek, Qwen, and Llama, or scale up to dedicated GPU clusters when your workloads grow. The platform supports your entire development journey, from initial experimentation in fast code sandboxes and model playgrounds to running batch inference for massive workloads. Furthermore, if you need to customize behavior, you can use the post-training and fine-tuning features to run reinforcement learning and supervised fine-tuning loops. By combining managed storage, provisioned throughput with SLAs, and optimized inference research like FlashAttention, Together AI gives you the control and speed required for production-grade applications without locking you into proprietary ecosystems. However, working with raw open-source models and managing custom fine-tuning jobs requires deeper technical expertise compared to plug-and-play consumer AI tools, meaning your engineering team will need to invest time in model selection, prompt tuning, and infrastructure management.