Explore the future of AI hardware with June Paik, CEO and co-founder of Furious AI, in his compelling talk at SuperAI Singapore 2025. As AI becomes an integral part of our world, the demand for high-performance and energy-efficient computing solutions is paramount. June introduces Furious AI's cutting-edge silicon chip designed specifically for AI inference in data centers. This second-generation product offers revolutionary advancements in performance, memory capacity, and energy consumption.

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Furious AI's chip boasts an impressive 512 teraflops of compute performance and can load data at 1.5 terabytes per second, while consuming only 180 watts—significantly less than its competitors. This power efficiency translates into substantial cost savings for enterprises, potentially saving $10,000 over five years per chip. The chip is built with TSMC's 5-nanometer technology and integrates 40 billion transistors, ensuring top-tier performance.

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The innovation lies in Furious AI's unique tensor contraction processor, adept at handling large-scale matrix multiplications—which are essential for evolving AI workloads—efficiently. With a remarkable 190% increase in efficiency over traditional GPU products, Furious AI's chip is becoming the preferred choice for enterprises seeking alternative AI inference platforms.

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Founded eight years ago, Furious AI set out to redefine AI computing by focusing on high performance and sustainable design. With a vision to support cloud and on-premise AI infrastructure, Furious AI invites enterprises to explore collaboration opportunities for a more sustainable AI future.

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