Dominic Jainy is an IT professional steeped in AI, machine learning, and blockchain who studies how real infrastructure unlocks heavy compute. In this conversation, he digs into a Texas-first campus that starts at 100MW in Glasscock County and is engineered to scale toward 1GW. The themes span speed-to-power, behind-the-meter gas, ERCOT integration, and AI-ready design, all anchored in local execution and durable partnerships. He also explores risk, governance, and why Texas could be the world’s largest market by 2030.
You’ve prioritized “speed to power.” What concrete milestones define that for you—site control, interconnect, first electrons—and what timelines are you targeting for each? Walk us through the exact steps from groundbreaking to initial energization, including key vendors and permitting checkpoints.
Speed to power begins with hard site control and pre-cleared permits. With 100MW of behind-the-meter capacity secured, the first electrons track to the shortest-path mechanical and electrical scope. The steps are civil enablement, utility-scale gas tie-in, substation integration, and phased hall commissioning. We then parallel-path fiber turn-up and water systems so 100MW can land cleanly before ERCOT later stages.
You secured 100MW of behind-the-meter natural gas. How is the gas sourced and priced, and what reliability metrics (start times, outage rates, N+ configurations) you’re designing to? Describe the generation technology choice, efficiency targets, emissions controls, and contingency plans for fuel or mechanical interruptions.
The 100MW position is anchored in local molecules and short-haul logistics. Pricing is structured for predictable heat-rate exposure and seasonal flexibility. Reliability is built around modular blocks, rapid start capability, and conservative spares. Contingencies include dual-path fuel delivery, hot-swappable components, and reserved capacity to protect AI loads.
The build is “Texas-first.” What percentage of spend and headcount will be Texas-based, and how will you qualify local suppliers for mission-critical standards? Share examples of contract structures, QA processes, and workforce training programs that de-risk schedule and quality at scale.
Texas-first means the majority of spend and people live in-state. We prequalify vendors against mission-critical QA, safety, and test-at-power protocols. Contracts are milestone-based with performance retentions and clear punchlist closure. Training pairs local crews with specialist mentors to meet AI-grade commissioning standards at 100MW and beyond.
The site is designed for AI workloads. What rack densities are you planning, what cooling approaches (air, rear-door, direct-to-chip, immersion) will you deploy, and how will you phase them? Provide PUE and WUE targets, expected thermal loads per hall, and how you’ll validate performance in production.
The design phases from air-enhanced to liquid-forward as AI clusters mature. We prioritize direct-to-chip while keeping rear-door heat exchangers available for mixed fleets. Thermal validation happens at hall scale with production loads before hitting the full 100MW. Feedback loops then inform the path toward the 1GW vision.
You’ve locked land, water, and redundant fiber. What are the exact redundancy and latency goals—routes, carriers, and diversity parameters—and how will you ensure long-haul resiliency to major peering points? Detail water sourcing rights, treatment, reuse, and drought contingencies.
Redundant fiber uses diverse routes and physically separate laterals to key peering hubs. We design carrier diversity and path separation to survive regional cuts. Water systems include treatment, reuse, and drought-aligned operating modes. The goal is stable performance today at 100MW and scalable headroom toward 1GW.
Scaling from 100MW to a potential 1GW is a leap. What’s the phasing plan by tranche—MW per phase, hall count, substation buildout—and what triggers move you from one phase to the next? Share acreage requirements, construction sequencing, and modularization strategies.
We expand in modular tranches once 100MW performance is proven. Triggers include customer pre-commit, gas and ERCOT milestones, and fiber utilization. Substation and halls grow in repeatable blocks for predictable QA. Modularization preserves schedule certainty as we stair-step toward the 1GW campus.
ERCOT grid energy is planned for later stages. How will you blend grid and on-site generation across seasons and price regimes? Explain interconnection queue strategy, deliverability studies, curtailment exposure, and how you’ll use demand response or ancillary services to hedge volatility.
We start with behind-the-meter stability and layer ERCOT capacity as it lands. Interconnection, deliverability, and curtailment studies guide seasonal dispatch and hedge design. Demand response and ancillary services add options without risking compute uptime. The blend evolves from 100MW firming to a diversified, grid-augmented platform.
West Texas brings weather and fuel risks. How are you engineering for extreme heat, cold snaps, and gas supply disruptions? Describe winterization standards, black-start capabilities, dual-fuel or storage options, and the incident response playbook you’ll use during multi-day events.
We harden for heat, freeze, dust, and multi-day constraints. Winterization covers enclosures, controls, and fuel handling, paired with black-start pathways. Dual-path fuel and storage buffers protect the 100MW baseline. The playbook drills roles, comms, and spares so recovery feels rehearsed, not improvised.
On disciplined execution, what governance model keeps scope, cost, and schedule aligned—stage gates, earned value, KPIs? Share a concrete example of how you’ll handle a critical-path delay (e.g., transformer lead times) and the escalation protocol to protect energization dates.
Governance runs through stage gates, earned value, and weekly risk reviews. If transformers slip, we resequence civil and electrical, and swap in interim capacity. Cross-functional escalation meets daily until the 100MW path is re-secured. Every action maps to energization dates and tested contingency ladders.
Community impact in Glasscock County matters. What are the job creation numbers, training pipelines, and local procurement targets? Walk through tax arrangements, environmental monitoring, noise and traffic mitigations, and how you’ll report progress and engage residents over the long term.
The goal is durable local jobs and supplier growth tied to Texas-first. We build training pipelines with hands-on labs and safety-first culture. Environmental, noise, and traffic monitoring operate transparently with regular reporting. Community sessions track milestones from 100MW start to the broader 1GW horizon.
For customers, what SLAs and design tiers will you offer—redundancy levels, availability targets, incident response times? Describe pricing structures, contract terms for power flexibility, and how you’ll support rapid AI cluster growth without stranded capacity or stranded networking.
SLAs focus on availability, response, and power flexibility that match AI demand. We pair modular halls with scalable network fabrics to avoid stranding. Pricing reflects behind-the-meter stability at 100MW and optional ERCOT exposure later. Customers can grow into the 1GW roadmap without architectural rework.
The founders bring oil and gas experience. How does that background inform fuel logistics, midstream partnerships, and reliability engineering for a compute campus? Share any analogs from drilling or midstream projects—metrics, decision frameworks, or playbooks—you’re adapting here.
Oil and gas discipline shows up in fuel assurance and operational cadence. Midstream-style partnerships tighten SLAs, redundancy, and maintenance rhythms. We port over commissioning rigor and shift-left risk reviews onto the 100MW stack. The same mindset scales cleanly toward 1GW.
Market-wise, Texas could overtake other hubs. How do you see competition for land, transformers, gas, and skilled labor playing out over the next 24 months? What partnerships or pre-buys are you locking in now to avoid bottlenecks, and where do you still see hidden constraints?
Competition is intensifying as Texas targets the world’s largest share by 2030. Early land control, equipment pre-buys, and gas positions are decisive. Workforce pipelines and local vendor development reduce schedule fragility. Hidden constraints live in logistics timing and simultaneous commissioning waves around 100MW projects.
What is your forecast for Texas’s AI data center market?
Texas will keep compounding because the inputs align: land, power, and policy. With 100MW projects maturing and 1GW campuses on deck, momentum builds. By 2030, JLL’s call for the world’s largest market looks credible. Expect more behind-the-meter starts, then coordinated ERCOT integration at scale.