[Services](https://noodleseed.com/services) / AI infrastructure AI infrastructure # 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. [Talk to us](https://noodleseed.com/contact) [All services](https://noodleseed.com/services) Model serving and trainingWe run Kubernetes and GPU schedulingWe run Storage and networkingWe build GPUs, yours or a partner’sAny ## 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. Controls at this layer too ## 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. [See the control system](https://noodleseed.com/architecture) Layer 03: AI platform services - 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 Layer 02: Containers and orchestration - 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 Layer 01: Compute, storage and networking - 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 Who asks for this 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. Delivery ### Advise Reviews, roadmaps and architecture: where to start, what to build and what it is worth. For example: An AI stack review for a bank Fixed fee Delivery ### Build Implementation and custom solutions, from one customer journey to a whole platform. For example: Model serving on a telco’s compute Fixed fee per phase Delivery ### Run Day-to-day operation, monitoring and improvement, with service levels agreed up front. For example: Running an employee AI agent Monthly or annual fee Delivery ### Licence Our platform and ready-made solutions, and commercial backing for Noodle Core. For example: A retailer on our platform Subscription and usage Delivery ### Resell Hardware, cloud, models and software from our partners, inside one plan and one contract. For example: GPU servers for a private deployment Margin on supply Delivery ### Partner White label, co-selling and solution packs for platforms and technology providers. For example: AI agents sold under a telco’s brand Revenue share or per activation Talk to us ## Tell us what you need. We will suggest where to start. Any layer, any size: a review, a project, a programme or a partnership. Who you areWhat you need firstSize Suggested starting point **Container platform, model serving and metering on your own compute or on capacity from our cloud partners.** Layer: Infrastructure: platform Delivery: Advise, Build, Run, Resell Scale: Review, then a first project Your nameWork emailCompany website Ask us to get in touch We use your details only to reply. See our [privacy policy](https://noodleseed.com/privacy). --- Source: https://noodleseed.com/services/infrastructure [All public pages in Markdown](https://noodleseed.com/llms.txt)