Climate-focused venture capital is increasingly targeting the infrastructure behind artificial intelligence as rising computing demand and power consumption create new investment opportunities in the digital economy.
Vietnam-based Earth Venture Capital said it participated in Sygaldry Technologies’ $139 million funding round, which includes a $34 million seed round and $105 million Series A financing.
The Series A was led by Breakthrough Energy Ventures, following a seed round led by Initiated Capital, according to a statement from the company.
Earth Venture Capital said it invested in both rounds, joining other backers including Y Combinator, Rock Yard Ventures and IQT.
US-based Sygaldry develops quantum-accelerated AI servers designed to reduce the energy consumption and cost associated with training and running large-scale AI models.
The company said its approach combines multiple qubit types into a single system that can run on existing data center infrastructure, potentially allowing operators to increase performance without requiring entirely new facilities.
The investment comes as demand for AI infrastructure continues to grow and data center expansion puts increasing pressure on electricity supply, cooling systems and operating costs.
This challenge becomes even more serious in Asia, where digital adoption, cloud use and AI deployment are rapidly increasing in sectors such as finance, logistics and enterprise software.
The attraction for investors lies not only in the growth trajectory of artificial intelligence, but also in the need for more efficient computing systems that can support this expansion.
While data center operators and corporate customers are looking for ways to manage both cost and energy intensity, initiatives promising lower power usage and improved processing efficiency are attracting attention.
Earth Venture Capital said the investment is consistent with its focus on supporting technologies that address decarbonization and efficiency challenges tied to next-generation digital infrastructure.
The agreement also reflects how climate technology investments are expanding beyond traditional energy and mobility themes to include the hardware and computing architecture needed to support the next phase of AI growth.
