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The tensor contraction bet: Interview with Furiosa.ai CEO June Paik

Furiosa.ai and the architect behind it.

David Harold
Paik

Furiosa.ai argues that GPUs have the wrong abstraction for AI—and it has spent eight years building a different one. Furiosa.ai, the Seoul-based AI accelerator start-up, has built its data-center inference platform around a tensor contraction abstraction that departs sharply from the matrix-multiplication primitives of GPUs. CEO and co-founder June Paik told us the company’s architecture and compiler were co-designed from Day One to exploit global graph-level optimization rather than thousands of hand-tuned CUDA kernels. With its second-generation RNGD accelerator and a heavily software-weighted engineering team, Furiosa is scaling toward multi-chip parallelism and future training-class systems. In a market where every challenger
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