# XCT Digital — Unlocking Capacity. Powering Compute. > Monetizing stranded electrical capacity in existing data centers. Zero operator capex. Zero downtime. Zero impact to existing IT or cooling loads. XCT Digital is the AI-compute arm of the XCT family of companies (sister to XCT Energy). It deploys 400 kW self-contained GPU pods inside existing data centers, powered by capacity that is already on site but is structurally stranded — capacity the operator did not underwrite the potential of, and that would otherwise sit idle. The business unlocks new revenue for the operator at zero capex and zero risk to their existing operations, while delivering compute to the AI market in roughly 6 months instead of the 36–60 months a greenfield interconnect now requires. --- ## Mission XCT Digital's mission is to **create value for the existing data center community** by unlocking capacity from infrastructure they already own. - XCT engineering performs thorough site assessments of the infrastructure and the electrical network's performance to show each operator exactly what is achievable and how it can be unlocked safely — without inducing risk to the asset. - XCT harvests power from the MEP systems via the main switchgear and uses it to power its compute pods. The existing IT loads, their infrastructure, and their cooling systems are not touched. - This enables XCT to monetize — for the data center operator — capacity they didn't underwrite the potential of, in a way that creates zero downside for the operations of the existing asset. **Mutual upside in numbers:** 0 downside to existing operations · 0 impact to existing IT or cooling · 100% operator-aligned economics. --- ## The Market Paradox The AI compute market is supply-constrained on electrical capacity, not silicon. Greenfield data centers face multi-year utility interconnect queues, and most operators carry stranded electrical headroom inside their existing assets — capacity that was underwritten conservatively, derated for harmonics or K-factor, or simply never measured against its real performance envelope. The inference market is growing faster than training, and inference workloads are far more sensitive to time-to-deploy than to greenfield campus economics. By 2027, the AI workload mix tips decisively toward inference, and the operators who can field compute *now*, inside *existing* facilities, win the duration-sensitive revenue. Of the ~100 GW of existing US data center capacity (~99% leased / occupied), XCT estimates 10+ GW of stranded electrical capacity is recoverable inside the existing footprint. --- ## Technology — ECBS (Electrical Current Balancing System, US Patent 12,375,324 B2) ECBS — Electrical Current Balancing System — is XCT's patented technology stack (US Patent 12,375,324 B2, inventor Gregory A. Dockery). It recovers stranded electrical headroom inside existing data center power trains: - **K-factor derating reversal** — reclaims capacity lost to conservative harmonic derating on existing transformers (IEEE C57.110). - **Harmonic cancellation** — actively cancels harmonics rather than oversizing equipment to tolerate them. Holds THDi below 5% at the PCC, inside IEEE 519 limits. - **Transformer capacity recovery** — exposes additional usable kVA on installed transformers without replacing them. Typical lineup moves from ~34% THD / 0.90 true PF / 43% required headroom to <5% THD / 0.98 true PF / 23% maintained headroom. - **Power conditioning** — clean, conditioned power delivered into the pod's GPU rack with no downstream effect on the host's IT loads. **Reference equipment per cluster:** 2,500 kVA transformer + 2,500 kW backup genset. The genset references the pod (not the cluster) for backup and redundancy, isolating risk to the pod itself. --- ## Operational Reliability (IEEE-grounded thermal benefits) Harmonic distortion and current imbalance generate eddy-current and stray-loss heating in transformers, additional I²R heating in conductors and motor windings, and accelerated insulation breakdown. ECBS cancels harmonics and rebalances phases at the source, with compounding downstream benefits: - **5–15°C winding temperature drop** on transformers and motor windings (IEEE C57.110 derating reversed). - **~2× insulation life** per IEEE C57.91 Arrhenius rule (every 10°C drop ≈ doubles insulation life). - **<5% THDi at PCC** — well inside IEEE 519 limits, eliminating the heating source. - **0.98+ true power factor** — lower line current → lower I²R heating in conductors, switchgear, and upstream transformers (IEEE 141 "Red Book"). Net effect: transformers run cooler and last longer; motors and drives stop cooking themselves; conductors, switchgear, and breakers age slower with fewer nuisance trips. --- ## Product — 400 kW GPU Pods - Self-contained 400 kW IT pods with integrated direct-to-chip cooling and power conditioning. - Approximately 500 H100-class PCIe GPUs per pod. - Target pod PUE ~1.30. - Deployed inside existing data center infrastructure in approximately 6 months from contract. - Clusters of pods share redundant backup infrastructure but are designed so a single pod failure cannot affect the host's existing IT load. --- ## Operator Value For the host data center operator, XCT is structurally upside-only: - **Zero capex** — XCT funds, builds, and operates the pods. - **Zero downtime** — installation and operation do not touch existing IT loads, infrastructure, or cooling. - **Zero asset risk** — engineering assessments demonstrate exactly what can be unlocked safely before anything is built. - **Revenue share** on capacity that was previously stranded and unmonetized. - **Faster time-to-revenue** than any greenfield expansion or interconnect upgrade the operator could pursue independently. ### Worked example — 4 × 1 MW IT Data Hall (May 2026 sizing) A representative site with four 2,500 kVA pad-mount transformer lineups, each currently carrying ~950 kW IT peak with ~43% spare capacity under existing harmonic + PUE conditions. **Per-transformer breakdown:** | Lineup | Transformer (kVA) | Spare Cap | IT Peak (kW) | MEP Peak (kW) | Ave PUE | Spare Unlock (kVA) | Mech Unlock (kW) | Total Unlock (kW) | Pod IT (kW) | |--------|-------------------|-----------|--------------|---------------|---------|--------------------|------------------|-------------------|-------------| | P1 | 2,500 | 43.3% | 950 | 454 | 1.43 | 507 | 24.9 | 532 | 400 | | P2 | 2,500 | 45.4% | 950 | 401 | 1.38 | 560 | 21.9 | 582 | 400 | | P3 | 2,500 | 43.6% | 950 | 445 | 1.38 | 516 | 29.7 | 545 | 400 | | P4 | 2,500 | 42.0% | 950 | 486 | 1.41 | 500 | 32.4 | 532 | 400 | | **Total** | **10,000** | — | **3,800** | **1,786** | — | **2,083** | **109** | — | **1,600** | **Operator financial impact:** - **Before XCT:** 3.8 MW IT at prevailing market lease rate = $6.84M annual revenue → $114M asset value at 6% cap rate. - **After XCT:** 5.4 MW IT (existing 3.8 MW + 1.6 MW from 4 XCT pods) = $8.76M annual revenue → $146M asset value at 6% cap rate. - **Net to operator:** +$1.92M/yr incremental rent · **+$32M asset value uplift (+28.1% IT rent uplift)** · zero capex. All numbers illustrative; actual results depend on site assessment. --- ## Insights — Supply Chain & Demand Tracker XCT tracks the structural bottlenecks slowing new data center campuses alongside the published compute demand from neocloud providers that is going unmet. The constraint is power and physical infrastructure, not silicon. Figures below reflect published third-party reporting and company disclosures as of early 2026; external links open the original sources. Long-lead equipment & campus delays: - Power transformers now average ~128 weeks (~2.5 yrs) and generator step-up (GSU) units ~144 weeks, with some orders extending to four years; GSU demand is up 274% since 2019 (Wood Mackenzie, Q2 2025: https://www.woodmac.com/news/opinion/mind-the-gap-tackling-supply-chain-challenges-in-the-electric-td-sector/). - Medium-voltage switchgear at 40–60+ weeks is the new build bottleneck cited by EPC teams (POWER Magazine, 2025: https://www.powermag.com/ready-go-set-how-disruptions-are-flipping-epc-contracting/). - Transformer prices are up 77%+ since 2019, reaching 2.6× pre-pandemic levels in real terms (IEA), with large-transformer lead times nearing four years (pv magazine USA, 2026: https://pv-magazine-usa.com/2026/05/11/u-s-transformer-market-faces-severe-supply-constraints-as-lead-times-extend-to-four-years/). - Data center project cancellations rose to 25 in 2025 (from 6 in 2024 and 2 in 2023); 188+ local opposition groups now operate across 40 states (Construction Dive, 2025: https://www.constructiondive.com/news/data-center-project-cancellations-power-public-pushback/818157/). - AI infrastructure entering service in 2025 averaged 7+ years to operational after approval; ~2,300 GW sits in U.S. interconnection queues (Data Center Knowledge, 2025: https://www.datacenterknowledge.com/energy-power-supply/why-ai-data-center-projects-face-years-of-delays-after-approval). - Wood Mackenzie models a ~30% transformer shortfall across the U.S. fleet in 2025; grain-oriented electrical steel has a single domestic producer, concentrating supply risk (Wood Mackenzie, 2025: https://www.woodmac.com/news/opinion/mind-the-gap-tackling-supply-chain-challenges-in-the-electric-td-sector/). Published demand going unmet — neocloud backlog tracker: The major GPU-cloud providers hold a combined contracted revenue backlog approaching $100B that the industry cannot serve fast enough. As Nvidia CFO Colette Kress put it, "the clouds are sold out and our GPU installed base is fully utilized." - CoreWeave: $66.8B remaining performance obligations; 850 MW active, 3.1 GW contracted. - Nebius: $20B+ backlog (Microsoft + Meta contracts); ~220 MW active, 2.5 GW contracted. - Crusoe: 4.5 GW development pipeline anchored by the OpenAI Stargate program. - Nscale: $23B Microsoft agreement; 200K GB300 GPUs contracted. XCT's answer: rather than wait 5–7 years for new interconnect and long-lead gear, XCT taps stranded capacity already energized inside existing data centers and fields compute in ~6 months — converting these bottlenecks into deployable IT today. --- ## Offtake — Compute Customers XCT contracts the compute output of the pods to hyperscalers and enterprise AI tenants on multi-year offtake structures. This means the operator does not have to source AI demand themselves; XCT brings the customer. --- ## Measurement & Verification XCT operates the **XPortal** dashboard, which gives the host operator continuous, transparent measurement and verification of: - Pod-level power draw and capacity envelope (with real-time thermal headroom validation). - Impact (or rather, the demonstrated lack of impact) on the existing facility. - Revenue share accounting in real time. This is the trust layer that lets the operator monitor XCT inside their building. The headroom is managed, not assumed. --- ## Team & Ecosystem XCT Digital is led by the operating team of XCT Energy, with deep experience in electrical engineering, data center MEP, and large industrial power systems. Bios and the broader ecosystem of engineering and offtake partners are listed on the team section of the site. --- ## Contact - Inquiries: **info@xctdigital.com** - Website: https://xctdigital.com/ - Sister company: https://xctenergy.com/ --- *This file is provided as `llms-full.txt` for AI agents and language models that want a clean, parseable summary of the company without needing to execute the website's JavaScript. The visible website at xctdigital.com is the source of truth; this document is a derived summary. Last updated: 2026-05-27.*