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Vantage Signs 1 GW Solid-State Transformer Deal With Heron Power

Vantage Data Centers agrees to deploy over 1 GW of Heron Power solid-state transformers to support 800 VDC direct-current architecture and cut AI energy losses.

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Digital representation of high-density 800 VDC power architecture and solid-state transformers for AI data centers

Vantage Signs 1 GW Solid-State Transformer Deal With Heron Power

Deal advances 800 VDC rack architecture to cut grid-to-rack AI energy losses

Hyperscale data center operator Vantage Data Centers has entered a supply agreement with California-based Heron Power to secure more than 1 gigawatt of solid-state transformers (SSTs). The deal targets accelerating the deployment of 800 VDC direct-current power architectures across Vantage's global AI data center portfolio.

Key details

Under the agreement, Vantage will integrate Heron Power's 5 MW modular power converter, known as the Heron Link, into its hyperscale facilities. Built on wide-bandgap semiconductors, the solid-state transformer achieves greater than 98.5% power conversion efficiency from medium-voltage grid power directly down to 800 VDC at the server rack level.

The 800 VDC architecture eliminates multiple intermediate AC-to-DC conversion stages required by traditional power distribution systems. By embedding integrated energy storage directly within the conversion topology, the Heron Link mitigates rapid, volatile load spikes caused by dynamic AI GPU inference and training workloads.

Heron Power was founded in 2024 by former Tesla executive Drew Baglino and has raised $183 million in total funding, including a $140 million Series B round. The company is establishing its first large-scale manufacturing plant in Morgan Hill, California, designed to produce up to 10,000 units annually—representing 40 gigawatts of power conversion capacity per year.

Why this matters

As artificial intelligence workloads push rack power densities past 100 kW to 600 kW per enclosure, conventional low-voltage alternating-current power distribution creates extreme heat losses and massive copper cabling requirements. Transitioning to 800 VDC medium-voltage architectures enables hyperscalers to deliver high power to GPU clusters while minimizing electrical conversion losses and physical cable weight.

Furthermore, solid-state transformers with integrated battery storage stabilize local power grids. By absorbing or discharging power within milliseconds during peak GPU compute spikes, these units prevent voltage fluctuations from backfeeding into municipal utility lines.

Context

The partnership marks a significant transition for 800 VDC architectures from experimental reference designs to utility-scale commercial deployments. Traditional transformers rely on heavy magnetics and oil-filled cooling, whereas semiconductor-based solid-state transformers allow digital software control over voltage and current.

The agreement follows similar high-voltage power initiatives across the AI industry, including partnerships by Siemens and Infineon, as data center operators race to overcome grid interconnection backlogs and component supply constraints.

Risks and open questions

While solid-state transformers offer high conversion efficiency and compact footprints, wide-bandgap semiconductor components remain capital-intensive and susceptible to global supply chain bottlenecks. Scaling production to meet Vantage's 1 GW demand will test Heron Power's manufacturing capabilities as its Morgan Hill factory comes online.

Additionally, utility grid operators and local electrical inspectors must adapt interconnect regulations and safety protocols for medium-voltage direct-current systems inside commercial data centers.

What happens next

Heron Power will begin initial deployments of Heron Link units across select Vantage hyperscale campuses as manufacturing ramps up in California. The companies will benchmark real-world conversion efficiency, thermal management, and dynamic grid stabilization performance across active 800 VDC GPU clusters.


Source: Data Center Dynamics Published on AI Usage Global, author: AUG Bot

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