Nvidia’s Data Center Plans Drive Race for Solid-State Transformers
Nvidia’s vision for more efficient AI data centers is drawing established electrical equipment manufacturers, solar technology companies, and startups into a race to develop solid-state transformers. The technology could change how facilities receive and distribute electricity, with potential benefits for energy efficiency, equipment footprint, and power management.
According to Bloomberg, manufacturers are seeking to capitalize on Nvidia’s push toward direct-current power distribution. However, the emerging market remains at an early stage: companies must demonstrate that their systems can meet data centers’ demanding requirements before wider commercial deployment.
Why Data Centers Need Different Power Systems
Conventional transformers use electromagnetic induction to increase or decrease alternating-current voltage. Their basic operating principle dates to the nineteenth century, although materials, monitoring, and manufacturing have developed substantially.
Data centers also require equipment that converts alternating current from the grid into direct current for computers. Each conversion stage introduces losses, while transformers and associated electrical equipment occupy space that could otherwise support computing infrastructure.
Solid-state transformers combine semiconductor-based power electronics with magnetic components to convert and control electricity. In proposed data center designs, they can supply DC power while consolidating functions performed by multiple pieces of equipment.
The opportunity extends beyond reducing energy losses. AI computing creates large and rapid changes in electricity demand. More controllable power conversion could help facilities manage those fluctuations and coordinate electricity flows with supporting infrastructure.
Nvidia’s 800-volt DC architecture provides a potential route toward this transition. Its published roadmap includes both hybrid upgrades for existing facilities and direct medium-voltage conversion for future developments.
A Potential Multibillion-Dollar Market
Analysts at Jefferies, led by Julien Dumoulin-Smith, estimate that the US solid-state transformer market could reach approximately $4.3 billion annually by 2030 once the technology becomes commercially available, Bloomberg reported.
BloombergNEF separately estimates that the technology could eliminate approximately $1.39 million in electrical equipment costs for each megawatt of data center electricity demand. That estimate concerns equipment that could be avoided within a redesigned electrical system, rather than a guaranteed reduction in the purchase price of a transformer.
The distinction matters because solid-state transformers currently cost more to manufacture and install than conventional alternatives. Their commercial appeal therefore depends on the economics of the complete installation, including displaced equipment, operating efficiency, and the value of space released for computing.
Projected savings will also vary with facility design and operating conditions. Developers should distinguish modeled benefits from results demonstrated at operating sites.
Solar Companies Pursue a New Application
SolarEdge Technologies and Enphase Energy are applying experience in power electronics and DC systems to the emerging data center market as growth in residential solar sales slows.
SolarEdge co-founder Meir Adest told Bloomberg that the company had previously developed relevant technology before shelving the work during a market downturn. Nvidia’s plans provided a reason to adapt that earlier development for a new application.
SolarEdge is testing a prototype, while Enphase demonstrated its own device in late October 2026, according to Bloomberg. Both companies expect to conduct pilots in 2027 and begin commercial shipments in 2028.
Enphase CEO Badri Kothandaraman has described data center solid-state transformers as a potential $1 billion annual revenue opportunity for the company. This remains a management projection, dependent on successful development and customer adoption.
For both suppliers, pilots with identified large cloud operators would provide stronger evidence of commercial progress than laboratory demonstrations alone.
Equipment Manufacturers and Startups Advance Their Plans
GE Vernova is also pursuing the technology. Bloomberg reported that CEO Scott Strazik had outlined plans to test a 5-megawatt solid-state transformer with a customer later in 2026. Orders could begin as early as 2027, depending on the pace of data centers’ transition toward DC systems.
Among startups, Heron Power Electronics said in August that it was in preproduction, with its first mass-production units expected in the second half of 2027. Amperesand said that month that it had started a production line.
DG Matrix, which has expanded from EV charging applications into data center technology, projects shipments of up to 2,000 transformers in 2027. CEO Haroon Inam told Bloomberg that its design uses multiple ports to accommodate several electricity inputs and outputs simultaneously.
In China, Envision Group announced a solid-state-transformer-based data center system at its Ulanqab campus in early November. The company described it as the world’s first commercial deployment of such a system. That claim should be distinguished from independent confirmation of industry-wide commercial readiness.
Reliability and Cost Will Determine Adoption
Experience in EV charging provides a starting point, but data center applications impose different requirements. Equipment must handle higher voltages, substantial demand variations, and stringent expectations for continuous service.
Bloomberg reported that commercialization for US data centers remained at least approximately a year away. Individual suppliers’ timelines differ, and a production line, customer pilot, or demonstration does not establish that a product is ready for widespread deployment.
Operators evaluating these systems will need evidence on efficiency across different loads, maintenance requirements, redundancy, and fault management. Compatibility with existing electrical infrastructure will also influence whether replacement, phased upgrades, or new construction offers the most practical route.
Implications for Energy and Sustainability
Reducing conversion losses could lower the electricity required for a given computing workload. More compact electrical systems could also help developers make better use of existing sites and permitted infrastructure.
However, greater efficiency does not necessarily reduce a facility’s total electricity consumption if the released capacity supports additional computing. Sustainability assessments should therefore consider absolute energy demand, electricity supply emissions, and the performance of the complete installation.
Solid-state transformers could become a useful component of more efficient AI infrastructure. Their contribution will depend on verified operating results and commercial availability, alongside continued investment in electricity generation, grid connections, and demand management.
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