This discussion examines artificial intelligence factories and the evolving inference infrastructure for data centers. Darren Chien of Positron AI appears on theCUBE Research interview hosted by Furrier of theCUBE and Allen of theCUBE. Chien offers Positron AI's perspective on specialized silicon, memory-centric decode workloads and data center deployment. They address token economics, disaggregation of prefill versus decode, Positron's Asimov roadmap and subsequent generations, recent funding validation and how rack-scale systems and software compatibility enable AI factories. Chien states inference is heterogeneous and not a one-chip market. Positron AI focuses on decode workloads to improve tokens per dollar and tokens per watt. Analysts of theCUBE highlight the importance of disaggregation, sovereign cloud and latency considerations and the need for Hugging Face compatible software stacks and fast turn-on rack solutions to accelerate deployment. Subscribe for ongoing coverage of AI infrastructure, inference strategies and data center innovation.
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Darren Chien, Positron AI
September 18, 2026
Darren Chien
Managing Director, APAC Positron AI
In this interview from theCUBE + NYSE Wired: AI Factories - Data Centers of the Future, Darren Chien, managing director of APAC at Positron AI, joins theCUBE's John Furrier to discuss how chip diversity and disaggregated inference are reshaping AI infrastructure following Positron's $875 million raise at a $5 billion valuation. Chien explains how the inference market has fractured beyond a single dominant chip, with NVIDIA, AMD, Groq and Cerebras now serving different workloads. He details Positron's focus on decode-heavy, memory-bound workloads for trillion-... Read more
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