Office, Colocation or Cloud: Where Does AI Compute Belong?

When an AI company talks about needing space, it can mean two different things: somewhere for people to work and somewhere for hardware to run. Mixing the two leads to expensive mistakes, so it helps to define the options plainly.

• Cloud. You rent computing capacity from a provider and reach it over the internet. You own no hardware and lease no physical space for it. You can scale up or down as contracts and availability allow.
• Colocation. You own or lease the servers and place them in a data center operated by a specialist. The operator supplies the room, power, cooling, physical security and network connections. You supply and manage the equipment.
• Office. A workplace designed for people, with power, cooling and floor structure sized for desks, laptops, meeting rooms and ordinary office equipment.

Each is built around a different assumption about what happens inside it. A data center assumes machines that run continuously and must not go down. An office assumes people who arrive in the morning, leave in the evening and need comfort, daylight and conference rooms.

Founders sometimes ask whether they can put a cluster in a spare room and save on cloud bills. For anything beyond a small setup, an office building works against you in several ways.

• Power. Office electrical systems are designed for office use. Concentrated compute can exceed what is available to a suite, and bringing in more is a construction project that needs the landlord's approval and may not be possible at all.
• Heat. Servers turn the electricity they draw into heat, and it has to be removed continuously. Building air conditioning in a typical office is designed for people and usually runs on a schedule, not around the clock.
• Redundancy. Data centers are engineered with backup power and cooling so a single failure does not take equipment down. Most office buildings offer tenants nothing comparable.
• Noise and weight. Server fans are loud enough to disrupt a workplace, and loaded racks are heavy enough that a structural engineer should confirm the floor can carry them.
• Lease terms. Office leases commonly restrict the use of the space, cap electrical consumption, require approval for alterations and require you to remove specialty installations when you leave.
• Permanence. Money spent upgrading power and cooling in a leased office generally stays with the building when your lease ends.

None of this means an office cannot hold any hardware. It means the office is the wrong tool for the heaviest work, and trying to force it usually costs more than using a facility built for the purpose.

Plenty of technical equipment fits comfortably in a well chosen office, provided you ask the right questions before you sign.

• Developer workstations, including machines with high-end graphics cards, used at desks by engineers and researchers.
• A network room or IT closet for switches, firewalls and a modest amount of local equipment.
• A small test or demo lab for evaluating hardware, edge devices, sensors or robotics components before they go elsewhere.
• Secure rooms for sensitive data handling where your policies or customer contracts call for physical separation.
• Everything human: focus space, meeting rooms, client areas and the places where a team builds its culture.

Even this lighter load deserves attention. Many workstations on one floor draw more power and produce more heat than a typical office layout, and a network room needs cooling that runs when the building's system is off. Raise these needs during the search so the right buildings make the list.

Once you accept that heavy compute lives outside the office, the choice between cloud and colocation comes down to factors your engineering and finance leads are better placed to judge than any office broker.

• How predictable the workload is. Steady, long-running demand can favor owned hardware in colocation. Variable or experimental demand tends to favor the cloud.
• Capital. Buying hardware requires money or financing up front. Cloud converts that into an operating expense.
• Access to hardware. Availability of specific accelerators through cloud providers or through purchase can drive the decision more than cost.
• Data and compliance. Some customers and regulators care where data sits and who can physically reach it.
• Staffing. Colocation means someone on your team is responsible for the equipment.

Many companies use both, and the mix changes as they grow. What matters for your office search is that you settle the question before you start touring, because it changes what you need from a building.

Colocation and data center contracts are a specialty of their own, with different pricing, different contracts and different advisors. We want to be plain about our role: TAG advises tenants on office, flex and industrial space. We do not procure data center or colocation capacity, and a company buying it should work with a specialist in that field.

What we do is make sure the office side fits your technical plan. That means finding buildings that can support the equipment that will sit in the office, negotiating the lease language that lets you install and operate it, and steering hardware-heavy teams toward flex or light industrial space when a conventional office is the wrong fit.

1. List every piece of equipment you expect to run over the next few years, and where it runs today.
2. Mark anything that must run continuously, anything that cannot tolerate an outage and anything that draws significant power.
3. Assign those items to cloud or colocation with your engineering lead. Assume they do not go in the office unless a specific reason says otherwise.
4. List what remains: workstations, network gear, small lab equipment. This is your office technical requirement.
5. Have your IT lead or an engineer describe the power, cooling and connectivity that remaining list needs.
6. Give that description to your broker at the start of the search, so buildings that cannot support it are screened out early.

If the office requirement starts to look like a small data center, stop and revisit step three before you sign anything.