A site can look ready for development long before it can support a live workload, and that gap increasingly shapes where artificial intelligence projects actually begin. The land may be suitable, the development plan may be complete, and the proposed building may fit the intended computing architecture, yet the project still depends on electrical capacity, transmission access, construction sequencing, equipment delivery, and local acceptance. Meanwhile, another developer may approach the same market with a different combination of power arrangements, a more mature design, established relationships, or a workload that can enter service in stages. These projects do not compete through land acquisition alone because each one asks the surrounding infrastructure system to accommodate a different pattern of demand. In markets where suitable land and electrical capacity are constrained, sovereign computing programs, established enterprises, and AI-native startups may compete for nearby sites while facing different development and operational requirements.
The Site That Looks Available
This competition changes the meaning of site selection for anyone planning substantial computing capacity. A location that offers a large development area may still lack a credible route to energization, while a smaller site with existing electrical infrastructure may offer a more useful starting point. A sovereign program might need long-term control, defined jurisdictional boundaries, local partnerships, and dependable continuity, whereas an enterprise refresh might need to migrate established services without interrupting business operations. An AI-native startup could prioritize early access to usable computing capacity, even when the first deployment represents only part of its intended architecture. Each project places a different burden on the same underlying systems, including electrical distribution, cooling, network connectivity, water availability where relevant, construction labor, and local planning processes.
The resulting hierarchy rarely appears as a simple public ranking of customers, and it should not be mistaken for a universal rule that sovereign demand automatically outranks commercial demand. Local regulations, contractual commitments, utility engineering, land-use approvals, equipment availability, and the readiness of each project can produce different outcomes from one market to another. A project with strong political visibility may still face engineering constraints, while a commercial developer with a credible power plan may be able to proceed through work that another project has yet to complete. Likewise, a startup with urgent demand does not necessarily receive an earlier connection simply because its business depends on rapid deployment. AI workload prioritization emerges from the interaction between what a project needs, what the site can deliver, and what the surrounding infrastructure can accommodate without compromising reliability or other obligations.
Why Everyone Is Fighting for the Same Acre
The apparent abundance of developable land can conceal a shortage of sites that combine the right physical characteristics with a credible infrastructure pathway. Large computing projects need more than room for buildings, equipment yards, cooling systems, and electrical compounds because their operating requirements must fit the surrounding power network and the site’s permitted use. A tract near a strong transmission corridor may have limited practical value if the required connection cannot accommodate the proposed load or if the local distribution system needs substantial reinforcement. Another location may offer an existing industrial footprint, yet redevelopment could introduce environmental reviews, structural constraints, competing land uses, or difficult construction access. In constrained markets, sovereign programs, enterprise infrastructure teams, and AI-native startups may favor locations that combine suitable land, credible power access, and workable development conditions, although their site requirements and alternatives vary by project.
Land Availability Is Not Infrastructure Readiness
A site becomes commercially useful for computing when its physical characteristics align with an achievable development and energization plan, not merely when a developer secures control of the land. That alignment begins with electrical access, including the connection point, the condition of nearby substations, the capacity of distribution equipment, the scope of required upgrades, and the responsibilities assigned to each party. The assessment must also consider the practical route for delivering transformers, switchgear, backup systems, cooling equipment, and other components that determine whether the building can support its intended load. Land-use restrictions, permitting requirements, drainage, geotechnical conditions, and access roads can alter the construction sequence even when the electrical concept appears workable. A developer that evaluates these constraints separately risks treating a series of unresolved dependencies as though they were independent tasks that can proceed in parallel without affecting one another.
The same site can also carry different levels of readiness for different workloads, because the intended operating model determines which infrastructure must exist before the first computing systems arrive. A building designed for conventional enterprise services may need a different electrical distribution arrangement, cooling architecture, or redundancy strategy from a deployment intended for dense AI accelerators. A sovereign workload may introduce additional requirements for network separation, controlled access, data governance, and operational oversight, depending on the applicable rules and the project’s contractual obligations. A startup may accept a smaller initial deployment, but only if the site can expand without forcing an expensive redesign or interrupting the service already in production. These differences do not make one customer inherently more deserving than another; they change the engineering work needed to make each proposed deployment viable.
Why Competing Projects Converge on the Same Locations
Competition can intensify around sites that combine electrical access, suitable land, fiber connectivity, transport links, and workable planning conditions, particularly when comparable alternatives are limited. A remote location might offer ample land and fewer immediate development conflicts, yet lack the network connectivity or workforce needed to support a complex computing operation. An established industrial area might provide substations, roads, and experienced contractors, but face competing demand from manufacturing, logistics, housing, or other large electricity users. Sovereign programs may also favor locations that support long-term national or regional computing objectives, while commercial operators evaluate customer proximity, latency, resilience, and the economics of serving distributed workloads. Where suitable locations are limited, overlapping site requirements may concentrate development interest in particular markets, although the extent of that concentration depends on local infrastructure, planning conditions, and the availability of alternatives.
The collision becomes more difficult when developers assess a site’s future capacity differently from its immediately usable capacity. A planned transmission improvement may support a compelling long-term proposition, but the expected benefit depends on construction progress, regulatory approvals, equipment delivery, and the eventual availability of the connection. Developers that commit to a location on the strength of anticipated upgrades may find themselves competing with other projects for interim capacity, construction resources, or local infrastructure attention. By contrast, an existing connection can provide an earlier starting point, although its actual usable capacity still requires technical confirmation and agreement on operating conditions. This makes site selection a sequencing decision as much as a geographic one, because the first phase must fit the infrastructure that can be delivered rather than the full capacity shown in a long-range master plan.
The Shared Campus No Longer Treats All Demand Equally
A shared computing campus can accommodate different customer types without giving every project the same construction sequence, infrastructure configuration, or route to operational acceptance. A sovereign program may require dedicated electrical arrangements, controlled network boundaries, and a documented operating model before its workload can enter service. An enterprise deployment may depend on migration windows, application compatibility, and continuity arrangements that make an abrupt change in location impractical. An AI-native startup may need a smaller initial footprint with a rapid path to live computing, followed by expansion as its technical and commercial requirements evolve. These requirements can create different delivery paths within one campus, even when projects share roads, utility connections, construction contractors, or other infrastructure, because each workload must satisfy its own technical and operational acceptance conditions.
Design Intent Determines the Route to Readiness
The first factor shaping a project’s position within a shared campus is the relationship between its intended workload and the infrastructure that the developer can actually deliver. Design intent determines the required electrical topology, cooling arrangement, network architecture, security controls, and acceptance criteria, so two buildings with similar footprints may demand different engineering sequences. A deployment built around dense accelerated computing may require a cooling distribution arrangement and electrical layout that a conventional server environment does not need in the same form. A workload subject to strict jurisdictional or contractual controls may also need dedicated access arrangements, documented separation, and an operating structure that supports its obligations. These requirements affect design reviews, equipment selection, commissioning procedures, and the work that must finish before operators can accept the first live systems.
Design intent also determines whether one project’s infrastructure can serve another project’s needs without significant modification. A shared electrical corridor might offer a useful connection point, but the downstream distribution equipment must still match the expected load, protection requirements, and operating arrangement of each deployment. Shared cooling infrastructure can reduce duplication in some configurations, yet it may complicate isolation, maintenance, or expansion when customers require different fluid conditions or operating procedures. Network sharing can support efficient use of common routes, although sensitive workloads may require separate logical or physical arrangements according to their security and governance requirements. Developers need to identify which campus systems can serve multiple workloads and which require dedicated capacity, separate controls, or customer-specific acceptance, based on the actual engineering, security, and operating requirements of each deployment.
Build Sequence and Operational Maturity Shape Access
A shared campus does not move every development forward at the same pace because construction depends on linked tasks that cannot always proceed independently. The electrical connection, equipment foundations, building enclosure, cooling distribution, network installation, controls integration, and commissioning activities must reach compatible stages before the intended workload can enter service. A delay in a critical component can hold up the entire sequence, even when other parts of the project appear complete. A developer with an approved design, confirmed equipment specifications, and coordinated contractor responsibilities may therefore be able to advance while another project continues to resolve basic dependencies. That outcome reflects delivery readiness rather than an automatic preference for a particular customer category, although contractual commitments and local requirements can also affect sequencing.
Operational maturity becomes especially important when a project must demonstrate that its systems work together under realistic conditions. Installing electrical equipment, cooling units, computing hardware, and network connections does not independently prove that the complete environment can support the required workload. Operators must establish that controls respond as intended, protective systems coordinate, cooling remains stable under the planned load, and monitoring provides enough information to detect abnormal conditions. The required testing sequence depends on the architecture and contractual acceptance criteria, but it should expose integration problems before production workloads depend on the completed environment. Projects that define these tests during design can align procurement, construction, and commissioning around a shared understanding of readiness. A project that postpones integration planning until the equipment arrives may discover that apparently finished components still need redesign, additional controls work, or repeated testing before the operator can accept the system.
Why One Workload Brings a Whole Ecosystem With It
A large computing project rarely arrives at a location as an isolated requirement for electricity, land, and buildings, because its development can create dependencies across the surrounding economy. A sovereign AI program may involve domestic computing capacity, research partnerships, workforce development, skills transfer, local suppliers, and longer-term commitments to regional digital infrastructure. Those relationships can give a project significance beyond its immediate demand for computing, particularly when local decision-makers assess how the development fits wider economic and technological objectives. An enterprise deployment may also bring substantial local commitments through employment, service contracts, supply-chain relationships, and the continuity of existing business operations. A startup can contribute through specialized engineering, new applications, research activity, and demand for supporting services, even when its initial physical deployment remains comparatively narrow.
Sovereign Programs Can Bring Commitments Beyond Computing
A sovereign computing program may form part of a wider effort to retain control over sensitive workloads, develop domestic technical capabilities, and reduce dependence on infrastructure located outside an intended jurisdiction. Those objectives can create requirements that extend beyond the physical computing environment into skills development, research collaboration, supply-chain participation, governance, and long-term operational continuity. A project may need local technical personnel who understand the architecture, teams capable of maintaining specialized equipment, and partners that can support software development or applied research. It may also require arrangements for handling sensitive information, controlling administrative access, and demonstrating compliance with the rules governing the workloads it hosts. When local stakeholders evaluate a project, they may therefore consider its contribution to durable capabilities alongside its immediate infrastructure requirements, although the weight assigned to those contributions depends on the jurisdiction and the specific development.
Ecosystem Commitments Can Influence Local Development Decisions
A project that brings credible commitments to training, research, local procurement, and sustained operations can offer a broader proposition to a region than a development that provides computing capacity alone. Local stakeholders may consider whether the project supports technical employment, creates opportunities for domestic suppliers, strengthens research relationships, or helps develop skills that remain useful beyond the initial construction period. These considerations can influence planning discussions, development agreements, workforce programs, and the willingness of partners to coordinate supporting infrastructure. They do not guarantee earlier grid access, because electrical connection decisions still depend on engineering studies, applicable rules, available capacity, and the obligations that govern the network. A sovereign program can carry significant ecosystem commitments while remaining delayed by transmission upgrades, equipment availability, or unresolved approvals, just as a commercial project can progress when it has already satisfied the relevant conditions.
The ecosystem surrounding a workload can also change the way a developer approaches risk and long-term site planning. A project with durable local partnerships may support a more predictable operating model when those relationships establish clear responsibilities for training, maintenance, procurement, and future development. An enterprise may offer a different form of continuity through established service requirements and planned infrastructure refreshes, while a startup may contribute specialized expertise that strengthens the wider computing market. A credible proposal links its wider contribution to specific responsibilities, timelines, resources, and operating arrangements that local partners can evaluate. In a constrained market, that evidence can strengthen confidence in the project’s durability, even though the final sequence still depends on the technical and regulatory conditions governing the site.
Sovereign Patience vs Startup Speed: Two Clocks on One Campus
The operating timetable of a computing project often differs from the timetable of the infrastructure required to support it. A sovereign program may follow a long planning horizon because it must coordinate governance, domestic capabilities, procurement, security requirements, and commitments that extend beyond the first operational phase. An AI-native startup may face a different pressure, with product development, customer commitments, model training, and funding decisions tied to the availability of usable computing capacity. The startup’s urgency does not shorten the time required to complete electrical upgrades or obtain necessary approvals, while the sovereign program’s longer horizon does not eliminate the need to deliver its initial workload reliably. A shared campus must accommodate these different clocks without allowing one project’s long-range ambitions to consume every available development opportunity or forcing another project to wait for a complete campus buildout.
Long-Horizon Programs Need Defined Delivery Milestones
A sovereign development benefits from a delivery plan that separates the commitments required to establish the program from the infrastructure needed to activate each workload. The wider program may include governance arrangements, workforce preparation, domestic partnerships, procurement decisions, and long-term operational responsibilities, but those activities do not all need to finish before every initial computing service can begin. The developer must identify which obligations determine the minimum viable operating environment and which belong to subsequent stages of expansion. That process requires clear interfaces between electrical infrastructure, building systems, network architecture, security controls, and the teams responsible for accepting the completed environment. If those interfaces remain vague, a project can appear to advance through planning and construction while critical dependencies continue to accumulate around its intended operational date.
The longer horizon of a sovereign program can create room for deliberate infrastructure planning, but that flexibility only helps when the project maintains control over the dependencies that govern its first operational phase. A developer may need to coordinate power delivery with the procurement of specialized computing equipment, the preparation of technical personnel, the establishment of secure operating procedures, and the availability of network connections. Those workstreams can proceed in parallel where their interfaces are understood, yet a delay in a critical dependency can still prevent the intended workload from entering service. The project team therefore needs to distinguish activities that can move independently from those that require formal completion or testing before the next stage can begin. It should also preserve the ability to adjust later phases without undermining the original commitments that justify the development.
Startup Urgency Requires Capacity That Can Stand Alone
A startup often needs a deployment path that delivers useful computing capacity before the full campus reaches its intended configuration. The first phase might support model development, inference services, testing, or an initial customer workload, depending on the startup’s architecture and operating requirements. That smaller phase still needs a complete and dependable operating environment, including the necessary electrical distribution, cooling, networking, monitoring, and maintenance access. A partial building or an allocated load does not create usable capacity if essential systems remain unavailable or if the startup must wait for another project’s infrastructure to pass acceptance. The developer should therefore define a self-contained initial deployment that can operate within confirmed site conditions while preserving the interfaces needed for later growth. Such a plan gives the startup a clearer route to service without requiring the campus to abandon its broader construction sequence or reserve resources against an undefined expansion schedule.
Startup speed also depends on how well the customer and developer align their expectations before committing to a deployment date. The startup must clarify its initial computing requirements, acceptable operating conditions, network dependencies, and expected growth path, while the developer must identify the infrastructure that can support those requirements. A mismatch between the two can create expensive changes late in construction, particularly when a design assumes a different cooling arrangement, electrical density, or network topology from the one the workload eventually requires. Commercial urgency cannot remove the need for equipment testing, safety checks, or operational acceptance, so the schedule must preserve the work needed to establish a dependable environment. Where the architecture permits, staged deployment can separate the first useful workload from later expansion, allowing the customer to begin operations while the wider site continues through planned development.
Why Building Your Own Generation Changes Your Place in Line
A project that arrives with a credible power-generation and distribution plan changes the infrastructure discussion before its first computing system reaches the site. Instead of depending entirely on external network upgrades, the developer can assess whether a combination of on-site generation, storage, electrical distribution, and a grid connection can support the intended operating sequence. The arrangement may provide an alternative route for some project requirements, but it does not automatically eliminate dependence on the grid or establish a right to bypass connection procedures. The technical value depends on the proposed architecture, the availability and reliability of the generation source, the operating conditions, and the project’s ability to meet applicable requirements for safety and interconnection. Local stakeholders may also need to understand how the project will manage emissions, fuel supply, equipment maintenance, noise, and the consequences of losing either the external connection or the on-site source.
A Power Plan Can Reduce Dependencies Without Removing Them
Behind-the-meter generation can support a computing development when the project needs a power arrangement that does not rely exclusively on the timing of external network reinforcement. Depending on the design, on-site generation may supply some operating demand, provide backup capability, support selected operating modes, or work alongside storage and the utility connection. Each configuration creates different engineering requirements, so developers must define the intended role of each component rather than describing the entire arrangement as independent power. They need to examine generator capacity under realistic conditions, fuel availability, maintenance requirements, starting and ramping behavior, electrical protection, and the way the system responds when a component becomes unavailable. The design must also establish how the project will operate during transitions between power sources and whether the computing load can tolerate the resulting conditions.
Storage can change the operating behavior of an on-site power system, although its usefulness depends on the duration and type of support required. Batteries may help manage short interruptions, smooth changes in generation, support selected operating transitions, or provide limited flexibility when external power conditions change. They cannot be treated as a substitute for sustained energy supply unless the system design accounts for their available energy, charging arrangements, operating limits, and expected demand. A project that combines storage with generation must also establish how the components interact with the grid connection and with the protective systems that safeguard the wider electrical installation. Controls and operating procedures become especially important when multiple sources can supply the same load, because the system must respond predictably to faults, changing demand, and planned maintenance.
Local Confidence Depends on the Quality of the Whole Arrangement
A developer’s ability to provide generation and distribution infrastructure can strengthen a site proposal when it demonstrates that the project has considered the responsibilities normally associated with a large new electrical load. Local stakeholders need to understand the proposed connection, the operating role of each power source, the arrangements for maintenance, and the consequences for the surrounding network. A project that relies on generation must also address fuel logistics, emissions requirements, equipment noise, emergency procedures, and the conditions under which the system can operate. Those issues matter because the local community and infrastructure operators experience the project’s physical effects even when the developer supplies much of its own electricity. A credible plan documents the engineering interfaces, identifies the required approvals, and establishes who will maintain each part of the system over its operating life.
The arrangement must also account for what happens when the on-site system cannot provide its intended support. A generator may require maintenance, fuel delivery may become constrained, or an electrical fault may take part of the installation out of service, leaving the project dependent on the remaining sources. The developer therefore needs a defined operating strategy for reduced capacity, unexpected outages, restoration, and any load reduction that the workload can tolerate. Grid-connected operation may require coordination with the utility and compliance with connection conditions, while islanded operation introduces its own requirements for protection, control, stability, and restoration. These conditions influence the practical value of the power plan because a system that works only under ideal assumptions may not provide a dependable route to operating capacity.
Prefabrication Is a Prioritization Strategy, Not Just a Construction Method
A construction schedule can lose valuable time when every major system depends on separate site installation, sequential trades, and coordination among multiple suppliers. Prefabricated electrical rooms, modular cooling systems, skidded equipment packages, and repeatable building components can move part of that work into controlled manufacturing environments before the site is ready for installation. This changes the relationship between construction progress and infrastructure delivery because some activities can advance while excavation, foundations, or other site work continues. The approach does not eliminate the need for civil works, electrical connections, system integration, or commissioning, and it cannot make unavailable equipment arrive sooner simply through a different construction method. Its value lies in reorganizing the work so that suitable components arrive with a greater share of their assembly and inspection already complete.
Repeatable Systems Can Shorten the Path to Installation
A repeatable design gives a developer a common technical basis for manufacturing, inspecting, transporting, and installing equipment across successive construction phases. Electrical modules, cooling skids, prefabricated pipe assemblies, and integrated equipment enclosures can move selected activities away from the constraints of the construction site. Factory assembly may also allow teams to inspect workmanship and identify integration issues before the equipment reaches its final location, provided the inspection scope reflects the requirements of the completed system. Standardized interfaces help reduce uncertainty when modules must connect to site-installed power, cooling, controls, and network systems. The project still requires careful coordination of transport dimensions, lifting arrangements, foundations, cable routes, access clearances, and the conditions for connecting each module to the wider installation.
A repeatable electrical module or cooling package can provide a defined building block for later expansion, provided the shared systems and upstream connections can support the additional load. That repeatability can simplify procurement planning, installation procedures, maintenance preparation, and the training required for teams that will operate successive phases. It can also help a developer coordinate multiple suppliers around common technical requirements instead of managing every installation as a unique engineering exercise. Yet a standardized module is not automatically suitable for every workload, because different computing densities, environmental conditions, redundancy requirements, and operating constraints may require different configurations. Developers need to determine which elements can remain consistent and which must change to accommodate the actual load, so that repeatability improves delivery without creating a rigid design that limits future use.
The Critical Path Moves From Site Labor to Integration and Delivery
When a developer shifts more assembly into manufacturing, the project’s critical path can move toward procurement, production slots, transport, connection work, and integration testing. A delayed module may hold up an entire phase even when the building shell and other infrastructure components are ready for installation. A change in the required electrical rating, cooling configuration, or controls interface can also force a redesign that affects manufacturing and delivery dates. These dependencies make early design coordination essential, particularly when multiple modules must operate together as part of a complete electrical or thermal system. Developers should identify which specifications must remain fixed before manufacturing begins and establish how the project will handle approved changes without disrupting other phases. They also need to confirm that factory inspections and documentation align with the tests required after installation, because factory acceptance cannot prove every condition that the final site must satisfy.
A repeatable construction model can improve delivery coordination, but the project still depends on the readiness of the surrounding infrastructure. A completed cooling skid cannot serve a workload if the required heat-rejection system, electrical supply, pipework, controls, or commissioning activities remain incomplete. An assembled electrical module cannot provide usable capacity until the upstream connection, protection arrangements, downstream distribution, and necessary testing support its operation. The developer must therefore distinguish component readiness from system readiness and avoid reporting manufacturing progress as though it proves the site can accept live computing equipment. That distinction also affects the order in which modules should arrive, because early delivery may create storage, preservation, security, or handling requirements if the installation area remains unavailable.
The Grid Is Shared. Priority Is Earned.
A workload’s path to operation depends on more than the date a developer first expresses interest in a site or requests additional electrical capacity. The outcome reflects the relationship between land suitability, infrastructure readiness, delivery commitments, operating requirements, and the ability to coordinate with the systems that other projects also need. Sovereign programs may bring long-term commitments and broader technical partnerships, enterprises may need continuity across established services, and startups may require an early deployment that supports a narrow but commercially important workload. These requirements can coexist on a shared campus when the development plan identifies their dependencies and provides a credible sequence for bringing each environment into service. The challenge is not to eliminate competition, because the underlying infrastructure remains finite and projects cannot all advance independently of the same physical constraints.
Readiness Must Be Demonstrated Before Priority Can Be Credible
The strongest site proposal connects its intended workload to a documented route from development approval through construction, energization, commissioning, and operational acceptance. That route identifies the required infrastructure, the parties responsible for delivering it, the dependencies that could delay progress, and the conditions that must be satisfied before the first workload can operate. A documented plan can demonstrate project readiness and clarify outstanding dependencies, but its effect on delivery sequencing or formal grid-connection position depends on the applicable rules, contractual commitments, available capacity, and decisions by the responsible parties. The same assessment should examine workforce availability, construction access, cooling requirements, network connectivity, and the practical arrangements for operating and maintaining the completed systems. Projects that rely on future upgrades should identify those dependencies explicitly, while projects with on-site generation or prefabricated systems should demonstrate how those components fit into the complete operating environment.
Readiness also needs to remain visible throughout development because a project’s original assumptions can change as equipment specifications, workload requirements, approvals, and construction conditions evolve. A confirmed connection plan may require revision when the intended load changes, while a modular deployment may encounter new dependencies when the developer introduces a different cooling arrangement or expands the initial phase. Teams should maintain a clear record of design changes, outstanding approvals, equipment commitments, commissioning requirements, and the interfaces shared with neighboring projects. That record helps the developer identify emerging conflicts before they affect the wider campus sequence and provides a basis for communicating realistic delivery expectations to customers and infrastructure partners. It also reduces the risk of confusing a proposed capacity allocation with capacity that the completed systems can actually support.
The Workload Must Fit the Site’s Actual Delivery Path
Choosing where a workload should land begins with understanding what the business needs to operate, how soon it needs that capability, and which infrastructure conditions could prevent deployment. A sovereign program should assess whether the location supports its governance requirements, long-term operating commitments, and intended development sequence, while an enterprise should examine migration dependencies and continuity requirements. A startup should establish whether the first deployment can deliver useful computing capacity without waiting for the entire campus to reach its final configuration. Each project should test its assumptions against confirmed site conditions, realistic procurement arrangements, and the technical requirements for a complete operating environment. Developers should also examine whether the initial architecture leaves a workable route for expansion or creates dependencies that will force disruptive changes when the workload grows.
The shared grid will continue to support projects with different purposes, operating horizons, and infrastructure strategies, but those projects cannot ignore the physical conditions that govern delivery. Land matters when it enables a workable development, power matters when the connection and distribution systems can support the intended load, and partnerships matter when they create commitments that can be delivered and maintained. Prefabrication can reorganize construction, on-site generation can change power dependencies, and phased deployment can accommodate different timelines, yet none of these approaches removes the need for engineering, approvals, coordination, and operational acceptance. The organizations that select sites with these constraints in view can make more defensible decisions about where their workloads belong and when those workloads can realistically enter service. The grid is shared; a workload earns a credible place in the sequence by demonstrating that its site, power strategy, design, and delivery plan can work together.
