Stage 03 of 04 · Deliver
In production and proven to work
Hardware, cloud capacity and AI models sourced; the system installed or provisioned, deployed and integrated with your own; then tested against the acceptance criteria agreed in design
When to engage
- An approved design is ready to procure
- You need GPU capacity quickly, on premises or in the cloud
- A workflow worked in a pilot and must go into production
- You need independent testing before accepting a system
Overview
Deliver: sourcing, deployment and go-live
Delivery is where plans meet lead times, contract terms, site conditions and several suppliers’ readings of the same specification. Most of the risk in an AI project sits here.
We source what the design calls for, deploy and integrate it, and hand it over once it passes the tests agreed before procurement.
What is included
What the stage covers
Sourcing of hardware, cloud capacity and models
The right supplier for each part, on terms that fit the programme.
- Hardware vendors, GPU cloud and colocation providers, and model providers
- Competitive tenders, or direct negotiation where speed matters
- Offers assessed against the criteria agreed in design
- Contracts and service levels aligned to the programme
Installation and cloud provisioning
Capacity in place, on site or in the cloud.
- Site readiness, installation and cabling for on-premises hardware
- GPU cloud or colocation capacity provisioned and connected
- Network and storage integrated
- Platform, scheduling and monitoring set up
Model and workflow deployment
The workflows running on the new capacity.
- Models deployed with serving and MLOps
- Workflows connected to your data and business systems
- Human review built in where the design calls for it
- Operators and users prepared for go-live
Testing and go-live
Evidence that the system performs as specified.
- Infrastructure benchmarks, burn-in and failure testing
- Workflow tests on your own data: accuracy, speed and cost per task
- Acceptance tests run and witnessed
- Defects tracked to closure before go-live
What you receive
Deliverables
Documents you own. They are written to be read by your board and your engineers, and to be handed to any supplier.
Sourcing recommendation
How each offer was assessed against the criteria, and which we recommend and why.
Delivery programme
Supply, provisioning, deployment and testing on one schedule, with dependencies shown.
As-built records
What was installed or provisioned, how it is configured, and which model versions are running.
Test and acceptance results
The acceptance tests, the results and our recommendation on acceptance.
How it runs
Four steps
- 1
Source
Suppliers are engaged, offers assessed and contracts placed.
- 2
Prepare
Sites, cloud accounts, access and data connections are made ready.
- 3
Deploy
Hardware is installed or capacity provisioned, and the platform, models and workflows deployed on it.
- 4
Test
Acceptance tests are run and witnessed, and results are recorded.
Timelines depend on scope and are confirmed after the first conversation.
FAQ
Common questions
Can you take a pilot into production?
Yes. We review what the pilot proved, source the capacity to run it at scale, integrate it with your systems and test it on your own data before it goes live.
Do you supply hardware or capacity yourselves?
We manage sourcing on your behalf, from whichever hardware vendors, cloud providers or model providers best meet the specification. You see how each offer was assessed before any order is placed.
Can you take over a delivery that is already under way?
Yes. We start with a short review of scope, contracts, programme and open risks, then agree where we take responsibility.
How do you prove the system performs as specified?
Acceptance tests are defined during design, before procurement. Commissioning runs them: benchmarks and burn-in for the infrastructure, and tests on your own data for the workflows and models. Results are recorded in the handover pack.
Contact
Ready to procure or deploy?
Tell us what you are planning and where you are today. The first conversation covers workloads, facilities and timing.