Blog ▸ Provider Readiness Checklist: What Buyers Check Before They Sign
GPU Infrastructure
Interconnect, power density, support hours, replacement windows and residency: what buyer diligence actually checks before a quote becomes a contract, in the order they usually ask.
Provider Readiness Checklist: What Buyers Check Before They Sign
GPUaaS.com Team
GPU Infrastructure
October 19, 2026
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Buyers on the GPUaaS.com network check five things before a quote becomes a signed contract: the interconnect fabric, power and cooling density, the support and GPU replacement model, a track record on uptime, and data residency, and providers who can answer all five without a follow-up question close faster.
Vetting gets a provider into the pool. It does not get a provider a signed contract. Once a request is routed and a quote comes back inside the band, the buyer still does their own check before committing, usually on a call or in a short written exchange. This post lists what that check actually covers, in roughly the order buyers raise it, so a provider can have the answers ready rather than scrambling when the question lands. It is the companion to the routing post, which covers how a request reaches you in the first place.
Key takeaways
The five things buyers check, in order: interconnect fabric, power and cooling density, support and replacement model, uptime track record, and data residency
Interconnect is the first question for any multi-node request: contiguous InfiniBand or Ethernet, what speed, and whether every node sits on one fabric
Power and cooling questions are about density per rack, not total capacity; a buyer wants to know the facility can actually run the GPUs at full draw continuously
Support questions focus on response time and who answers, not on having a large team; a named contact and a stated hour range beats a generic ticket system
GPU replacement window is the single most-asked reliability question. State a number, not 'as soon as possible'
Residency is binary: either the facility can commit to it in writing or it cannot. Ambiguity here kills a deal faster than any other item on the list
◆ 1. INTERCONNECT: WHAT FABRIC, WHAT SPEED, HOW CONTIGUOUS
The first question on almost every multi-node request
For any request above one node, the first thing a buyer wants confirmed is the interconnect. Is it InfiniBand or Ethernet, and if InfiniBand, what generation and per-GPU bandwidth. If the request calls for contiguous capacity, the buyer wants to know whether all the nodes genuinely sit on one fabric switch or whether 'contiguous' means something looser in practice. A provider who says yes to contiguity and means 'they're in the same data hall' rather than 'they're on the same switch' loses the deal the moment that gap surfaces, usually during technical diligence rather than upfront.
The fix is specificity rather than reassurance. State the switch topology, the per-node bandwidth, and whether the fabric has been tested at the GPU count being quoted. The GB300 vs HGX B300 post covers how much this matters for training workloads specifically; for inference-only buyers, confirming that fabric is not required at all can speed things up rather than slow them down.
Buyers who do not need the fabric will often ask whether it is required to get the quote, because a non-contiguous or Ethernet-only answer can come in lower and faster. Volunteering that your nodes are Ethernet-only up front, rather than waiting to be asked, saves a round trip and can put you in front of exactly the buyers who do not need InfiniBand.
◆ WHAT BUYERS ASK, IN ORDER, AND WHAT A STRONG ANSWER LOOKS LIKE
Check
What a strong answer sounds like
Interconnect
400G InfiniBand, single switch fabric, tested at the requested node count
Power density
18kW per rack air-cooled, or a named liquid-cooling spec for high-density parts
Support model
Named on-call contact, response inside 2 hours, stated hours or 24/7
GPU replacement window
Spare on-site, swapped within 4 hours of a confirmed failure
Uptime track record
99.5 percent over the trailing 90 days, with incident log available on request
Data residency
Facility address and jurisdiction stated in writing, no ambiguity
Typical standards buyers on the GPUaaS.com network check for before signing, October 2026. Specific thresholds vary by workload and term.
◆ 2. POWER AND COOLING: DENSITY, NOT CAPACITY
The question is whether the rack can sustain full draw, not whether the site has power
Buyers rarely ask how much total power a facility has. They ask how much power a single rack can sustain, because that number determines whether the GPUs they are renting will throttle under load. An H100 or H200 node drawing close to its rated power for hours at a time needs real headroom, not a spec sheet number that assumes intermittent use.
For current-generation parts, air cooling at reasonable density is usually fine and buyers will accept a straightforward answer: kW per rack, redundancy on the cooling path, and whether the facility has run that density before. For B300 and GB300 NVL72, liquid cooling is often required, and a buyer evaluating a rack-scale quote will ask specifically whether the facility has liquid cooling installed and operating, not planned.
Redundancy comes up second. A single point of failure on power or cooling is a question every serious buyer asks, particularly on long-term commitments where a facility outage would void months of planned usage. N+1 on cooling and dual power feeds are the answers that close this question without further discussion.
◆ 3. SUPPORT: WHO ANSWERS, AND HOW FAST
A named contact beats a large team every time
Buyers do not need a provider to have a large support organization. They need to know that when something breaks, a specific kind of response happens within a specific window. The strongest answer names a contact or an on-call rotation, states response time in hours, and says whether that coverage is business hours or 24/7. The weakest answer points at a generic ticketing system with no stated response time, because it leaves the buyer unable to plan around an outage.
This is also where the vetting distinction between the two demand channels matters. On a GPUaaS.com cluster contract, support for the buyer is the provider's responsibility under the SLA. On packet.ai, packet.ai's team handles support for the developers using the inference pool, which is one reason that route suits providers without a dedicated support desk, as the packet.ai supply post covers.
If a provider's honest answer is that support is thin, the right move is to say so during vetting rather than let it surface during a buyer's diligence call. The team can route accordingly, and a provider who is upfront about this earns more trust on the next request than one who oversold and under-delivered on the first.
◆ 4. GPU REPLACEMENT WINDOW: THE SINGLE MOST-ASKED RELIABILITY QUESTION
State a number
If there is one question nearly every buyer asks, it is how fast a failed GPU gets replaced. This is the question that most directly answers 'what happens to my workload if hardware fails,' and vague answers here cause more lost deals than any other item on this checklist. 'As soon as possible' is not an answer. A stated window, with a spare on-site or readily available, is.
Good answers vary by what is realistic for the facility, but they are specific: four hours if a spare is racked and ready, same-day if a spare has to be pulled from inventory elsewhere on-site, next-business-day if parts ship in from a regional store. Whatever the real number is, state it plainly. Buyers evaluating a twelve-month commitment are effectively pricing in the risk of this number, and an honest four-hour answer beats an optimistic but unsupported same-day claim that fails the first time it is tested.
This window also interacts with contract terms. A buyer committing to a large allocation on InfiniBand, where one dead GPU can affect the whole fabric's usable topology, will weight this answer more heavily than a buyer running independent inference jobs where one node going down barely dents throughput.
4
hours is a realistic GPU replacement window when a spare is racked and ready on-site. Stating a specific number, rather than 'as soon as possible,' is the single highest-impact answer on this checklist
GPUaaS.com, October 2026
◆ 5. UPTIME TRACK RECORD AND RESIDENCY: THE CLOSING QUESTIONS
Evidence over assurance, and a written answer on location
Uptime comes up as a track record question rather than a promise. Buyers want a number over a real period, typically the trailing 90 days, and are more reassured by a provider who can produce an incident log than by a round number with no backing. 99.5 percent with two documented incidents and clear root causes reads as more credible than 99.99 percent with nothing behind it.
Data residency closes the list because it is binary in a way nothing else on this checklist is. A facility either can commit in writing to a specific jurisdiction, address and legal entity, or it cannot. There is no partial credit for 'mostly in that region' or 'our primary site is there.' Buyers with regulatory or sovereign requirements, which the India pricing post and the regional demand reports both touch on, will walk away from any ambiguity on this point rather than accept assurances, because the exposure if it turns out wrong is theirs, not the provider's.
Providers who can answer all five of these cleanly, in writing, before the buyer has to ask twice, close faster and get routed ahead of providers who make the team chase down the same answers on every request. The response-time post on routing covers the parallel effect on the quote side: readiness compounds.
Get your facility ready for the next request.
Keep interconnect, power density, support hours, replacement window and residency answers current with the team, so a request never stalls waiting on information you already have.
Five things, usually in this order: the interconnect fabric and whether it is genuinely contiguous, power and cooling density per rack, the support and response model, the GPU replacement window, and a track record on uptime, closing with data residency confirmed in writing.
Whatever is realistically achievable and stated specifically rather than vaguely: four hours if a spare is racked on-site, same-day if a spare has to be pulled from inventory, next-business-day if parts ship from a regional store. A specific honest number beats an optimistic unsupported one.
Density. Buyers want to know a single rack can sustain full draw continuously without throttling, not how much total power the facility has. For current-generation GPUs, stated kW per rack and cooling redundancy answer this; for B300 and GB300, buyers ask specifically whether liquid cooling is installed and operating.
It is binary and can end a deal on its own. A facility either can commit in writing to a specific jurisdiction and address, or it cannot; there is no partial answer that satisfies a buyer with a regulatory or sovereign requirement.
No. A named on-call contact and a stated response time, whether business hours or 24/7, satisfies most buyers. A generic ticketing system with no stated response time is the weaker answer regardless of team size.
