AI infrastructure, designed, built and run for you.
GPU clusters, Kubernetes, model serving, storage and networking, in your data centre, your cloud or on capacity we arrange with partners. One team from sizing to round-the-clock operation, with the same controls as the AI agents that run on top.
What we do
GPU clusters and AI factories
Sizing, supply through hardware partners, build-out, network fabric and acceptance testing.
Kubernetes for AI
GPU scheduling, quotas, autoscaling and separation between teams or customers.
Model serving and inference
High-throughput serving of open-weight models with engines such as vLLM, Triton and KServe, with batching and caching.
Training and fine-tuning infrastructure
Distributed training jobs, checkpoints and experiment tracking, on your GPUs or rented capacity.
Storage and data platforms
Object and parallel storage, vector databases and data lakes sized for AI workloads.
Sovereign and private AI
In-country and disconnected deployments for banks, governments and hospitals.
Hybrid capacity and GPU costs
Your own GPUs and partner capacity under one plan, with utilisation and cost reports per team.
Managed operations
Monitoring, on-call, upgrades, security patching and capacity planning, with service levels agreed up front.
Delivered with cloud, GPU and hardware partners, and run by our team or handed over to yours with documentation and runbooks.
The same control system, all the way down.
Identity, permissions, records and separation between customers are designed in at every layer, not added at the end.
- AI gateway with routing, fallbacks, quotas and caching
- MCP gateway and tool registry
- Evaluation pipelines and release gates
- Tracing and monitoring of cost, speed and quality
- Kubernetes and GPU scheduling on your virtual machines
- Model serving with engines such as vLLM, Triton and KServe
- Training and batch jobs, with quotas per team
- Separation between customers or teams, and data residency controls
- GPU cluster design and build-out with hardware partners
- Storage and network fabric sized for AI
- Sovereign and disconnected deployments
- Setup and operation on your virtualized compute
Telcos and data centres building AI factories, enterprises bringing AI in-house, software companies scaling inference, and public bodies that need AI in the country.
Advise
Reviews, roadmaps and architecture: where to start, what to build and what it is worth.
Build
Implementation and custom solutions, from one customer journey to a whole platform.
Run
Day-to-day operation, monitoring and improvement, with service levels agreed up front.
Licence
Our platform and ready-made solutions, and commercial backing for Noodle Core.
Resell
Hardware, cloud, models and software from our partners, inside one plan and one contract.
Partner
White label, co-selling and solution packs for platforms and technology providers.
Tell us what you need. We will suggest where to start.
Any layer, any size: a review, a project, a programme or a partnership.