THE CHALLENGE

Inefficient Space Allocation in Enterprise Data Centers

Enterprise data centers categorize space into three tiers based on cost and function. Each tier carries a different cost per watt — and legacy architectures allocate electrical infrastructure inefficiently across all three, driving up build cost and locking in future retrofit risk.

• 💰 High Cost of White & AI Space — $32/watt: Premium spaces command high costs due to proximity to compute hardware and environmental controls.
• 🔄 Future Retrofit Risk — Millions in unplanned CapEx: Retrofitting for higher densities requires significant additional investment.
• ⚡ Efficiency Losses — Multiple conversion stages waste energy: Legacy systems result in 10-15% energy waste, inflating operational expenses.

BUILT FOR THE GPU ERA

DCPacket’s 350VDC Solution

DCPacket’s 350VDC platform leverages Digital Electricity® — a Class 4 fault-managed power system certified under UL 1400-1 and compliant with NFPA 70. This technology packetizes high-voltage DC energy, enabling safe distribution over limited-energy cabling — with no galvanic hazard at the load.

READY TO SEE IT IN ACTION?

See Digital Electricity® in Action

Schedule a 30-minute technical review with one of our Design Engineers.

THE TECHNOLOGY

How Digital Electricity® Works

A 3-step process for safe, efficient power distribution.

• 01 — Power Packetized: High-voltage DC distributed as controlled, monitored energy packets with embedded intelligence per unit.
• 02 — Real-Time Detection: Every packet evaluated before the load. Arc events, shorts, and voltage anomalies detected in <10ms.
• 03 — Hardware Protected: Fault isolated at the source. GPUs and compute nodes never see the event. Facility continues normally.

CAPITAL RETENTION EXAMPLE

10.8 MW Enterprise Data Center Deployment

Consider a 10.8 MW AI-optimized data center spanning 6,000 sqft at 1,800 watts/sqft density (27 racks at 400 kW each). Traditional VAC/VDC setups allocate electrical components across all spaces, inflating costs. DCPacket’s 350VDC architecture relocates them entirely to gray space, while the just-in-time (JIT) deployment model for active components adds further financial advantages by minimizing capital lockup and accelerating revenue generation.

Industry data indicates that traditional data center build-outs typically span 24-36 months, with modular approaches compressing this to 16-20 months or even 12-18 months for hyperscale facilities. Equipment lead times for critical power systems often extend 12-18 months, contributing to delays. In this case study, we assume a baseline 24-month timeline for a traditional build, reduced to 18 months with DCPacket’s modular Titan System and JIT strategy.

Space and Cost Breakdown

Capital Cost Comparison

Direct Savings from Relocation: $44.64M (28.7% reduction). This stems from relocating 1,920 sqft of electrical infrastructure (e.g., PDUs, UPS) from $16-32/watt white/AI spaces to $4/watt gray space, freeing 960 sqft of white space for additional compute.

Enhanced Savings from Just-in-Time Deployment

DCPacket’s modular design separates the Digital Electricity® system into non-active infrastructure (e.g., cabling and basic gray space preparation, ~20% of costs) and active components (transmitters, receivers, and rack PDUs, ~80% of costs). Non-active elements align with early build phases, while active components can be acquired and deployed JIT — typically in the final 3-6 months before operations.

• → Delayed Capital Expenditure: By postponing active component outlays by 18 months, operators avoid tying up capital during construction. At an average weighted average cost of capital (WACC) of 7% for U.S. data center projects, this yields interest savings of approximately $2.04M ($19.39M × 7% × 1.5 years).
• → Reduced Opportunity Costs: JIT minimizes holding costs and enables earlier revenue. The compressed 18-month timeline allows operations to start 6 months sooner than traditional builds. Assuming annual revenue of $500K per MW, the facility generates an additional $2.7M in revenue over those 6 months.
• → Operational Efficiencies: JIT reduces on-site clutter and storage needs, enhancing safety and labor productivity. It also mitigates risks from supply chain delays, as seen in 30-50% of 2026 pipelines facing postponements.

Total Enhanced Savings from JIT: $4.74M, bringing overall capital retention to over $49.38M when combined with relocation benefits.

Additional Benefits

• → Revenue Acceleration: Freed space supports densification, enabling faster ROI on AI investments.
• → Risk Mitigation: Sub-10ms fault isolation protects $30M+ in GPU assets per cluster, reducing CapEx exposure.
• → Sustainability: Lower PUE aligns with ESG goals, maximizing renewable integration without reliability trade-offs.

Deployment is rapid: Modular Titan systems activate in hours, with optional 2-hour MTTR SLAs for mission-critical operations.

WHO WE SERVE

Targeted Solutions for Key Stakeholders

MARKET CONTEXT

A Rapidly Scaling AI Infrastructure Market

“Power quality has emerged as the defining site-selection criterion for hyperscale AI deployments — surpassing land, water access, and connectivity in operator priority surveys.”

— JLL Data Center Research, 2024 — Global AI Infrastructure Report

Ready to Protect Your AI Infrastructure?

Our team works directly with facility owners, colo operators, and infrastructure investors to assess power risk and design the right DCPacket deployment for your environment.

Five Cowboys Way, Suite 300 · Frisco, TX 75034 · (405) 697-4555