GPU Infrastructure Setup Service
GPU Infrastructure Setup Service
Provision and right-size GPU infrastructure for training or inference. Delivered by our in-house team.
When GPU infrastructure needs DevOps discipline
- GPU capacity is over- or under-provisioned relative to actual demand.
- GPU spend is a mystery, nobody's tracking utilisation.
- There's no autoscaling, so you pay for idle hardware or hit capacity limits.
- GPU infrastructure was set up ad hoc, outside your normal DevOps process.
GPU infrastructure still needs the fundamentals, right-sizing, automation, and cost control.
What we do
GPU provisioning
GPU infrastructure provisioned on the cloud provider that fits your workload.
Right-sizing
Match GPU capacity to actual training or inference demand, not a guess.
Autoscaling
Scale GPU capacity with demand instead of paying for idle hardware.
Cost & utilisation monitoring
Visibility into GPU spend and utilisation, not just uptime.
Ways to work with us
Not sure which fits? Tell us the problem on a free call and we'll recommend one.
Fixed-scope project
A defined setup with a clear deliverable and timeline.
Managed support (retainer)
We keep your infrastructure healthy month to month.
Hourly / as-needed
Short, specific tasks without a long commitment.
Dedicated engineer
An engineer from our team focused on your account.
White-label for agencies
We deliver DevOps under your brand for your clients.
What you actually receive
- GPU infrastructure setup
- Autoscaling configuration
- Cost & utilisation monitoring
- Documentation
Exactly which of these you get depends on the engagement, we scope it on the call.
What changes for your business
- GPU infrastructure sized to actual demand
- Better visibility into GPU spend
- Infrastructure that scales with training or inference load
- The same DevOps discipline applied to GPU workloads as the rest of your stack
What clients say
Case studies coming soon.
Real client testimonial goes here once we have permission to publish it.
Name, role, Company
Real client testimonial goes here once we have permission to publish it.
Name, role, Company
Real client testimonial goes here once we have permission to publish it.
Name, role, Company
Questions about GPU infrastructure setup
This is an emerging area of our work, the underlying DevOps practices (provisioning, autoscaling, cost control, monitoring) are the same disciplines we apply elsewhere, adapted to GPU workloads.
Specific GPU/AI infrastructure project history and credentials are confirmed on request, we don't claim case studies that aren't real.
Whichever fits your workload and budget, we're not tied to a single provider.
Yes, right-sizing and utilisation visibility are core parts of this engagement.
Yes. We sign an NDA before any work starts, and you own everything we build for you.