Together AI

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Build, deploy, and optimize AI models with ultra-fast, scalable solutions.

About

Together AI is a cloud-based platform focused on providing robust, flexible, and efficient tools for organizations aiming to work with generative artificial intelligence. It empowers users to develop, fine-tune, and deploy advanced AI models, using scalable infrastructure that can accommodate both simple and complex demands.

The platform supports a variety of workflows, from rapid prototyping to large-scale deployment. Users can access ultra-fast processing for both model training and inference, which is a significant advantage for projects requiring swift iteration and real-time results. Businesses and developers benefit from customizable model options, giving flexibility to adjust models for specific tasks and industries.

Designed with a strong commitment to openness, Together AI encourages community contributions and transparency. Its infrastructure accommodates organizations of many sizes, helping them manage large, GPU-intensive projects efficiently. While sophisticated and powerful, the platform may require some technical proficiency for optimal use, particularly when building or fine-tuning custom models.

Who is Together AI made for?

CTO / Head of Engineering Software Developer / Engineer Data Analyst / BI Specialist
Small team (2-5 people) Startup (6-10 people) Enterprise (1000+ people)

Together AI is best suited for technical teams and professionals responsible for building, deploying, or scaling machine learning models. Software developers, machine learning engineers, and data scientists working in technology startups, AI research labs, and large enterprises will find its suite of AI infrastructure tools valuable.

It addresses needs such as rapid experimentation, custom model development, and cost-effective large-scale AI deployment. Organizations with significant computational workloads, such as those involved in academic research, generative content creation, or complex data analytics, will benefit most. It is especially useful for CTOs and lead engineers managing AI-driven projects, where speed, efficiency, and flexibility are top priorities.