California-based Together AI raised US$305 million in Series B investment led by General Catalyst and co-led by Prosperity7.
The round saw participation from a distinguished group of global institutional and strategic investors including Salesforce Ventures, DAMAC Capital, NVIDIA, Kleiner Perkins, March Capital, Emergence Capital, Lux Capital, SE Ventures, Greycroft, Coatue, Definition, Cadenza Ventures, Long Journey Ventures, Brave Capital, Scott Banister, and technology pioneer John Chambers.
Also, the funding round, which values the company at US$3.3 billion, arrives as Together AI unveils plans for an unprecedented expansion of its AI Acceleration Cloud, with plans for large deployment of NVIDIA Blackwell GPUs.
This strategic investment will further accelerate Together AI’s position as the leading end-to-end platform for building with open source models.
Together AI’s enterprise-grade inference and fine-tuning capabilities have already transformed how over 450,000 AI developers, AI-native companies, and global enterprises like Salesforce, Zoom, SK Telecom, Hedra, Cognition, Zomato, Krea, Cartesia, and The Washington Post build modern AI applications.
“Vipul and team have built an incredible tech platform and business, emerging as a dominant player in AI infrastructure in less than two years. I was introduced to them when I invested in their first angel round and have witnessed firsthand the evolution of a product that, today, many Fortune 100 clients use to train, finetune, and run inference on models at scale,” said Marc Bhargava, managing director at General Catalyst.
“Together AI’s mission to be the full stack AI cloud is truly inspiring, and General Catalyst brings the go-to-market expertise and ambition to supercharge this goal,” said Bhargava.
Together AI CEO Vipul Ved Prakash said they have built a cloud company for this AI-first world — combining open source models and high performance infrastructure with frontier research in AI efficiency and scalability.
“Our AI Acceleration Cloud uniquely provides organisations with the performance, security, and functionality required to train frontier models and build production-scale AI applications with incredible cost efficiency. With this investment, we will accelerate our mission to make open source AI accessible for AI developers and customers globally,” the CEO said.
