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How Agentic AI Will Save Millions: Rapt AI CTO Anil Ravindranath Reveals the Secret

In this episode, Anil Ravindranath, CTO of Rapt AI, explores the evolving landscape of AI infrastructure and how intelligent management systems can revolutionize the way organizations utilize computing resources. As AI models grow in complexity and demand, traditional infrastructure struggles to keep pace, creating a need for smarter, more adaptive solutions.
Anil discusses how agentic GPU management can significantly improve efficiency and reduce costs by automating resource allocation based on real-time demands. He highlights the financial impact of even minor GPU under-utilization and stresses the need for better AI operations to support next-generation reasoning models. The conversation also shifts to future breakthroughs, emphasizing the importance of infrastructure innovation, especially at the chip level, to enable scalable and sustainable AI growth. Anil also touches on how Rapt AI is helping businesses optimize performance by maximizing tokens per watt, ensuring better energy efficiency and compute utilization.
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The focus of AI innovation is shifting to infrastructure and GPUs.