From requirement to deployment, with one point of contact.
Rta Labs works through four stages: define, source, align and coordinate. A person reviews each step, and nothing is represented as available until a supplier confirms it.
- 01
Define
We clarify what is required, what is flexible and what is still unknown. Incomplete requirements are welcome. Tell us what you know about the workload, the hardware, power, cooling, location and timing, and we help fill in the rest.
For each major point you can say whether it is required, preferred or flexible. Required constraints rule an option out when they are not met. Preferences lower the fit but keep the option in view. Flexible values can move within the range you set. This keeps viable alternatives on the table when your first choice is not available.
- 02
Source
We source GPU hardware, GPU capacity, colocation and supporting services from OEMs, resellers, operators and specialist suppliers, directly and through channel relationships. Infrastructure markets change quickly, so we treat anything we have not recently reconfirmed as unverified.
- 03
Align
We check compatibility, availability and dependencies across the deployment: whether the facility can power and cool the hardware, whether the site can be ready before delivery, and whether networking and terms fit. Headline price alone is not enough, so options are compared on a common basis:
GPU SKUTopologyInterconnectPower and coolingLocationStorageTermDelivery dateSLATotal costEach option shows which of your required and preferred requirements it meets. Rta Labs reconfirms capacity with the supplier before a formal option is presented, options state when availability was last confirmed, and prices are marked indicative until the supplier issues a final quote.
- 04
Coordinate
We coordinate introductions, technical discussions and supplier next steps through one point of contact, so your team deals with fewer handoffs. Supplier identity is disclosed once you choose to proceed and Rta Labs approves the introduction.
- 05
Contract and delivery
You contract with each supplier directly, unless another written arrangement says otherwise. Suppliers deliver the hardware, facility and services under their own agreements with you. Rta Labs does not own the facilities or install the infrastructure.
Rta Labs may receive referral, channel, or other commercial compensation from infrastructure providers.
Frequently asked questions
What is Rta Labs Compute?
Rta Labs Compute is the compute division of Rta Labs. It is a business-to-business AI infrastructure advisory and sourcing service. It helps AI companies source GPU hardware, GPU compute, inference infrastructure, and high-density AI colocation with power, cooling and connectivity, and coordinates the suppliers involved through one point of contact.
Who is Rta Labs Compute for?
AI startups and companies scaling compute-heavy workloads, GPU operators and neoclouds expanding their own infrastructure, businesses with hardware ordered or allocated that need somewhere to deploy it, and teams planning dedicated AI infrastructure without an in-house procurement function.
Can Rta Labs help if our GPUs are already ordered?
Yes. Share the hardware, the expected delivery date, and any known power, cooling and location needs. Rta Labs sources colocation that can be ready for service around that date and coordinates the facility, power, cooling and connectivity discussions. Ready-for-service dates are confirmed by the facility in writing.
What is the difference between GPU hardware and GPU compute?
GPU hardware is buying servers you own and deploy in a data centre, sourced from an OEM or reseller. GPU compute is renting capacity that a provider owns and operates. Rta Labs sources both.
Do I need a complete requirement before contacting Rta Labs?
No. Share what you know, such as the workload, the hardware status, timing and location. Defining what is required, what is flexible and what is still unknown is the first step of the process.
Does Rta Labs Compute own data centres or GPUs?
No. Rta Labs Compute sources hardware and capacity from third-party suppliers, and suppliers deliver under their own agreements. Rta Labs does not own or operate third-party infrastructure or install hardware unless it expressly says so.
Where does Rta Labs Compute source infrastructure?
Rta Labs Compute sources AI infrastructure worldwide, with a focus on North America. Buyers can require a specific country or region, data residency in a specific country, or a provider controlled in a specific country, such as a Canadian-controlled provider.
Is the GPU capacity shown by Rta Labs guaranteed or real-time?
No. Rta Labs does not publish live inventory and does not promise allocations or delivery dates. Capacity, pricing, and delivery and deployment dates are confirmed with suppliers before a formal option is presented, and prices stay indicative until the supplier issues a final quote. No option is a reservation until the supplier confirms it in writing.
How does Rta Labs handle required and preferred requirements?
Buyers mark major requirements as required, preferred, or flexible. A required constraint that is not met rules an option out. A missed preference lowers the fit but keeps the option in view. Flexible values can move within the range the buyer sets.
When does Rta Labs share the provider's identity?
Options are anonymized. Rta Labs shares the provider's identity once the buyer chooses to proceed and Rta Labs approves the introduction.
Who does the buyer sign a contract with?
The buyer and each supplier generally contract directly, unless another written arrangement says otherwise. Hardware is bought from the OEM or reseller under its terms of sale, and the provider agreement governs the delivery and use of the infrastructure.
How is Rta Labs Compute paid?
Rta Labs may receive referral, channel, or other commercial compensation from infrastructure providers. Any fee a buyer owes Rta Labs is disclosed and agreed in a separate written agreement.
Does Rta Labs verify data sovereignty?
Rta Labs does not label a provider sovereign based only on physical location. Residency, provider control, and program eligibility are verified per provider and per buyer requirement.
What information should buyers not submit?
Do not submit model weights, API keys, passwords, source code, private datasets, regulated personal data, or other secrets. Rta Labs only needs infrastructure requirements.
Can GPU providers and data centres work with Rta Labs Compute?
Yes. GPU clouds, data centres, infrastructure operators, and channel partners can send current or upcoming capacity and a commercial contact. No portal, account, or API integration is required to start.