BlockBeats News, August 11th, Full-stack AI company River AI, founded by xAI co-founder Igor Babuschkin, announced today that it has completed a $1.1 billion funding round. The round was led by General Catalyst and AMP PBC, with strategic investments from NVIDIA and AMD Ventures. Other investors include Y Combinator and Temasek. This funding will accelerate River AI's efforts to build powerful personal AI and provide tools for developers and enterprises to train, fine-tune, and deploy their own AI models.
Currently, most AI-using enterprises rely on generic models. These models are trained on data from the entire internet and are designed for the widest user base. While generic models are powerful, they are not tailored to any specific enterprise. Previously, building custom models required a dedicated infrastructure team, specialized hardware, and months of time, making it difficult for most enterprises to afford.
With River's API, any enterprise can complete a complex reinforcement learning training task in 15 to 20 minutes without the need for an infrastructure team. Compared to closed-source alternatives, the cost can be reduced by 2 to 4 times.
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