In this interview from theCUBE + NYSE Wired: AI Factories, Rodrigo Liang, co-founder and chief executive officer of SambaNova, joins theCUBE's John Furrier to discuss why inference has become the economic center of AI. Liang explains how the industry is shifting from pure infrastructure buildout to demonstrating sustainable financial payback, balancing energy consumption with revenue generation. He details SambaNova's focus on maximizing token output per rack at the lowest cost and power, and outlines how a partnership with NVIDIA using disaggregated inference can triple throughput on existing hardware deployments.
The conversation also explores how SambaNova is extending the life of brownfield data centers, deploying air-cooled infrastructure to avoid the years-long buildout required for new gigawatt facilities. Liang addresses growing public anxiety around AI safety, arguing the industry's attention should shift toward investing in guardrails rather than slowing innovation. He breaks down disaggregated serving as a precursor to heterogeneous computing, where different chips handle prefill and decode to extend the economic life of aging GPU infrastructure. Liang also previews the upcoming SN50 launch, which he expects will help data centers convert years of investment into profitability. With the company posting six consecutive quarters of quarter-over-quarter doubling, he offers a clear signal of where AI infrastructure is headed next: from massive centralized factories toward distributed data centers and, eventually, true edge computing serving robotics and everyday connected devices.
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In this interview from theCUBE + NYSE Wired: AI Factories, Rodrigo Liang, co-founder and chief executive officer of SambaNova, joins theCUBE's John Furrier to discuss why inference has become the economic center of AI. Liang explains how the industry is shifting from pure infrastructure buildout to demonstrating sustainable financial payback, balancing energy consumption with revenue generation. He details SambaNova's focus on maximizing token output per rack at the lowest cost and power, and outlines how a partnership with NVIDIA using disaggregated inferenc...Read more
