Together AI provides specialized infrastructure for training, fine-tuning, and deploying large language models with exceptional performance and cost efficiency. Their platform delivers optimized implementations of popular open-source models including Llama, Falcon, and Mixtral through both cloud API access and dedicated hardware deployments. Together's key innovation is their RedPajama initiative creating open training datasets and methodologies that enable organizations to develop custom foundation models without proprietary data dependencies. Organizations benefit from Together's comprehensive fine-tuning capabilities including parameter-efficient techniques like LoRA and QLoRA that enable model customization with minimal computational requirements. Their platform includes specialized features for model quantization, distillation, and optimization that reduce deployment costs without significant performance degradation. With enterprise-grade security including private endpoints, encryption, and access controls, Together supports regulated industries requiring both advanced AI capabilities and robust governance. Their transparent pricing model based on compute time rather than token counts provides predictable costs for production deployments, positioning Together as an ideal platform for organizations seeking independence from proprietary AI providers.