We Believe in an Open Future: Together AI’s Vision to Simplify Generative AI for Businesses!

In June 2022, a collective of AI pioneers—Vipul Ved Prakash, Ce Zhang, Percy Liang, and Chris Ré—came together to address a significant gap in the AI landscape. Their goal was to make generative AI models more accessible and customizable for enterprises, focusing on open-source solutions to foster innovation while reducing dependency on closed systems. Together AI's mission centers on the belief that generative models are a consequential technology for both business and society. Vipul Ved Prakash emphasizes the importance of an open and decentralized alternative to closed AI systems, stating, "We believe that generative models are a consequential technology for society, and open and decentralized alternatives to closed systems are crucial for business and society."

Together AI’s core offering is its AI Cloud platform, described by Prakash as "a full stack platform. We build everything from the data centers to the developer APIs, and it's really focused on optimizing open-source custom AI models and applications." This comprehensive approach simplifies AI adoption by handling everything from infrastructure to model deployment, giving enterprises an easy-to-use and scalable solution.

Addressing Key AI Challenges

One of the main obstacles in adopting generative AI today is the expertise required to train and fine-tune models, as well as the complexity of managing large-scale infrastructure. Together AI tackles these challenges head-on. As Prakash notes, "Training, fine-tuning, or productizing open-source generative models is extremely challenging. Current solutions require that you have significant expertise in AI and are simultaneously able to manage the large-scale infrastructure needed. The Together platform takes care of both challenges out-of-the-box, with an easy-to-use and accessible solution." By addressing both the technical and operational hurdles, Together AI enables businesses to deploy AI without needing a deep understanding of the underlying infrastructure.

Reducing Costs Through Optimization

Another critical advantage of Together AI is its cost-efficiency. Prakash outlines the company's approach to cost reduction, stating, "We optimize down the stack, with thousands of GPUs located in multiple secure facilities, software for virtualization, scheduling, and model optimizations that significantly bring down operating costs." This focus on optimization helps companies reduce their AI operating expenses while maintaining industry-leading performance and reliability.