- $100 million raised by DG Matrix from strategic investors like ABB and Mitsubishi Heavy Industries.
- AI racks demand 800-1400 kW, compared to traditional server racks' 5-15 kW.
- Global datacenter power demand projected to double by 2030, driven by AI.
Experts would likely conclude that DG Matrix's solid-state transformer technology represents a critical innovation for addressing AI's escalating power demands, with its advisory board's industry expertise validating the solution's potential to redefine datacenter infrastructure.
Powering AI's Future: Industry Titan Joins DG Matrix to Reinvent the Grid
RALEIGH, NC – September 15, 2026 – In the relentless race to build the future of artificial intelligence, the most significant battles aren't being fought over algorithms, but over electrons. The invisible yet non-negotiable constraint on AI's growth is power. Acknowledging this reality, DG Matrix, a company aiming to redefine datacenter power, has made a pivotal move, appointing industry heavyweight Daniel Doimo to its Executive Advisory Board.
This is far more than a routine corporate announcement. Doimo isn't just any executive; he is a foundational figure in the very industry DG Matrix seeks to disrupt. As a co-founder of MGE UPS Systems, he built and scaled a global power protection empire, later orchestrating the merger of MGE and APC within Schneider Electric and ultimately leading its $8 billion global power business. His recent experience steering AI cybersecurity firm Cylance to a $1.4 billion acquisition gives him a rare, panoramic view of both the legacy power world and the voracious energy demands of modern AI. His decision to join DG Matrix is a powerful signal that the industry's old guard sees the future in a new electrical architecture.
Assembling the 'Power Trinity' for AI's Foundation
Doimo’s appointment completes a formidable trio on DG Matrix's advisory board, creating what can only be described as a 'dream team' for datacenter infrastructure. He joins Christian Belady, the mind behind Microsoft's global datacenter expansion and the creator of the Power Usage Effectiveness (PUE) metric that has defined industry efficiency for over a decade. Alongside them sits Peter Gross, a legendary mission-critical engineer whose firm designed some of the world's most resilient datacenters.
As DG Matrix Executive Chairman Anthony Wanger noted, “With Christian, Peter and now Daniel, this advisory board has built the hyperscale datacenter, engineered the mission-critical facility and led the power business behind both.” The combined expertise is staggering: Belady represents the hyperscale operator, Gross the mission-critical designer, and now Doimo embodies the global power systems provider. This strategic convergence of talent is a clear statement of intent. DG Matrix is not merely developing a new product; it is systematically assembling the intellectual capital needed to build the new digital backbone for the AI era.
Doimo’s role will be to advise on everything from global manufacturing and go-to-market strategy to capital allocation. As DG Matrix CEO Haroon Inam stated, “He knows exactly how power infrastructure is specified, sold, serviced and scaled around the world.” This expertise is critical as the company transitions from pioneering a technology to deploying it at the massive scale the AI industry demands.
The Unseen Crisis: AI's Insatiable Thirst for Power
The urgency behind this move is rooted in a crisis brewing just behind the server racks. The power architecture that has supported the internet for 30 years is fundamentally breaking under the strain of AI. Traditional server racks consume 5-15 kilowatts (kW); AI racks, packed with power-hungry GPUs, routinely demand 80-100 kW, with future designs pushing toward 140 kW. A single AI cluster can consume as much electricity as a small city, and the global power demand from datacenters is projected to double by 2030, driven almost entirely by AI.
The problem isn't just the sheer volume of power but its volatile nature. AI workloads create “GPU pulse loads”—rapid, millisecond-scale power swings that can destabilize traditional electrical systems. As thousands of GPUs synchronize during training, they create multi-megawatt surges that legacy infrastructure simply wasn't designed to handle. This leads to instability, inefficiency, and a very real risk to uptime.
“For 30 years the industry has answered new demand by adding more boxes to the electrical room,” Doimo observed. This patchwork approach—adding more transformers, more uninterruptible power supplies (UPS), more switchgear—has created a complex, inefficient, and physically sprawling electrical infrastructure that cannot keep pace. Worse, it’s hitting a wall. Grid interconnection queues now average five years in major markets, meaning even if you can build the datacenter, you can't plug it in. This power bottleneck is the single greatest threat to the continued growth of AI.
A New Blueprint: The Solid-State Transformer
DG Matrix's answer to this crisis is to fundamentally redesign the electrical room from the ground up. The company is building what it calls an “intelligent power fabric” based on its Interport™ platform, the world's first commercially available, multi-port solid-state transformer (SST).
This isn't just an incremental improvement; it's a paradigm shift. The SST replaces the entire room of “boxes” with a single, software-defined device. Its multi-port architecture can simultaneously connect to and manage power from multiple sources—the grid, solar panels, battery storage, on-site generators—and deliver it to multiple loads at different voltages. It converts, routes, and controls every electron in a single stage, eliminating the layers of conversion losses inherent in legacy systems.
For AI datacenters, the benefits are profound. The platform provides native 800V DC power, the emerging standard for efficiently powering high-density GPU racks. It is designed to absorb and manage GPU pulse loads, ensuring clean, stable power. By consolidating infrastructure, it dramatically reduces the physical footprint, complexity, and deployment time. One senior engineering executive at a top AI datacenter developer, who plans to deploy gigawatts of capacity, called DG Matrix's solution the “most advanced, highest-value solid-state transformer solution on the market.”
Doimo himself validated this vision, stating, “The multi-port solid-state transformer is the first technology I have seen that fundamentally simplifies the datacenter electrical system, and DG Matrix has already done the hard part by commercializing it.”
From Blueprint to Reality: Gaining Critical Mass
Vision without execution is hallucination, and DG Matrix is aggressively building partnerships to turn its blueprint into reality. The company has joined the NVIDIA MGX ecosystem, working directly with the leader in AI computing to develop 800V DC reference designs. This collaboration provides immense credibility and a direct channel into the heart of the AI hardware market.
Further partnerships with prefabricated datacenter provider InfraPartners and energy storage innovator Skeleton Technologies show a strategy to deliver a complete, integrated grid-to-rack solution. By collaborating with these key players, DG Matrix is embedding its technology across the entire value chain, making it easier for customers to adopt its new architecture.
This strategy is attracting not just partners, but customers and capital. The company has raised over $100 million from a slate of strategic investors including industrial giants like ABB and Mitsubishi Heavy Industries. While specific pilot customers remain confidential, the company is accelerating deployments with hyperscale, neocloud, and colocation operators worldwide.
Doimo’s arrival is the capstone on this phase of the company's journey. With a validated technology, a clear market need, and a team of industry legends to guide its path, DG Matrix is poised to move from an ambitious startup to a foundational pillar of the AI economy. His decision to join is less an endorsement of a single company and more a recognition that the invisible infrastructure of power is, and always will be, the true enabler of our connected future.
Topics & Related
Artificial Intelligence
Data Centers
Cloud & Infrastructure
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