Lambda and ECL launch NVIDIA GB300 NVL72 online
Published by Willow Munz,
Editorial Assistant
Global Hydrogen Review,
Lambda, the Superintelligence Cloud, has announced the deployment of the industry’s first hydrogen-powered, production-grade NVIDIA GB300 NVL72 systems at ECL’s Mountain View campus (MV1), US, a zero-water and zero-emissions off-grid modular data centre that operates entirely on hydrogen fuel cells for AI inference and foundational model training with unprecedented efficiency.
The Supermicro-built GB300 NVL72 systems each receive 142 kW of compute power, cooled through direct-to-chip liquid systems fed by centralised CDUs that recycle water generated as a byproduct of power production. This combination of NVIDIA AI infrastructure with sustainable energy at true production scale marks an industry first.
"As we move toward gigawatt AI factories, diversified power is becoming essential infrastructure," said Ken Patchett, VP Data Centre Infrastructure, Lambda. "These NVIDIA GB300 NVL72 systems represent the building blocks for training and deploying tomorrow's foundation models. Hydrogen-based energy ensures we can power that superintelligence-class compute responsibly."
At 4000 pounds per system, these production-grade units pose a critical industry challenge: few data centres can handle the power density and cooling requirements of GB300 NVL72 systems. Lambda’s decision to double its footprint at ECL – from 50% to 100% of the facility – signals strong conviction in hydrogen as one of the power sources for the sustainable growth of AI infrastructure.
“Supermicro is proud to deliver to Lambda the latest NVIDIA GB300 NVL72 systems powered by hydrogen-based energy,” commented Vik Malyala, SVP of Technology and AI at Supermicro. “By combining Supermicro’s advanced liquid-cooled servers with ECL’s zero-emission power, we are enabling Lambda's SuperIntelligence Cloud to scale rapidly and sustainably.”
“ECLs’ work with Lambda sets a new bar for sustainable AI factory power and proves that off-grid, zero-emission, high-performance data centres are not just aspirational, but operational, at scale,” added Yuval Bachar, Founder and CEO of ECL. “Hydrogen power and advanced cooling let AI organisations stay on the cutting edge of AI infrastructure while meeting the highest standards for energy stewardship and flexibility.”
Lambda and ECL continue to explore hydrogen power as part of Lambda's commitment to building Superintelligence’s AI infrastructure backbone – gigawatt scale AI factories for training and inference.
Read the article online at: https://www.globalhydrogenreview.com/hydrogen/24092025/lambda-and-ecl-launch-nvidia-gb300-nvl72-online/
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