Together AI provides the infrastructure and compute layer necessary to run the large language models that serve as the core reasoning engines for AI agents. By offering high-speed serverless inference and dedicated GPU clusters, the company enables agents to process information and generate responses with the low latency required for complex, multi-step reasoning loops. A key component of their offering for the agent ecosystem is the Code Sandbox, which provides a secure, isolated environment where agents can execute generated code to perform data analysis, automation, or technical tasks.
Within the agent stack, Together AI operates at the foundation and model-serving layers, focusing on the deployment and optimization of open-source models. The company champions the use of open-weight models like Llama and Mistral as viable alternatives to closed-source systems for agentic workflows. For developers, Together AI is significant because it provides the tools to fine-tune models for specific agentic behaviors—such as tool-calling or task planning—while maintaining a high-throughput environment that can handle the high token volume typically generated by autonomous agent interactions.
A high-performance inference API for chat, vision, image, audio, video, and embeddings based on open-source models.
Self-service NVIDIA GPU clusters designed for intensive AI computing and training tasks.
A platform to train open-source models for production environments using Supervised Fine-Tuning or Direct Preference Optimization.
A secure execution environment for LLM-generated code using customizable VM sandboxes and APIs.
Together AI is hiring