AI Infrastructure

AI infrastructure that's ready for production.

AI infrastructure services for teams building or scaling training, inference and private AI workloads. We bring together GPU compute, networking, storage, security and managed operations around the workload and its deployment requirements.

GPU compute within an AI infrastructure network

Why this matters now

AI infrastructure is harder than the demos suggest

Pilots run fine on a single GPU. Production needs networking, storage, security, sovereignty, and operations that hold up at scale and under audit.

GPU is just the start

RDMA networking, fast storage, scheduler, observability, model security and lifecycle. Buying H100s without the rest is buying expensive idle capacity.

Security is now AI security too

Model theft, prompt injection, data exfiltration, supply-chain compromise on weights. The attack surface grew. The controls have to catch up.

Sovereignty changes the architecture

EU AI Act, sector regulators and customer demands push more workloads to private or sovereign cloud. The architecture decision is now a regulatory one.

Production AI Stack

Production AI is a stack, not a single purchase.

The GPU gets the attention, but the network fabric, storage layer, security controls and operating model decide whether the workload actually performs.

Compute

GPU platforms for training, inference, bare metal, virtualised or containerised workloads.

Network

RoCE, InfiniBand, 1.6T capability and low-latency fabric design.

Storage

Parallel filesystems and AI-ready storage designed for throughput and latency.

Security

Model registry, weight protection, prompt-injection defence and data loss prevention.

Operate

Cluster operations, scheduling, observability, capacity and cost optimisation.

What We Deliver

AI infrastructure services

From design through procurement to managed operations. For neoclouds, AI builders, regulated enterprises and the public sector.

GPU compute, training and inference

NVIDIA H100, H200, B200, AMD MI300X/MI325X/MI350. Bare metal, virtualised, or containerised. Optimised for the workload, not the spec sheet.

High-performance networking

RoCE, InfiniBand, 1.6T capability, low-latency fabric design. Designed around the workload and its data movement.

Storage for AI workloads

VAST Data, Pure Storage, parallel filesystems. Throughput and latency designed for training and inference, not generic enterprise IO.

Model and data security

Model registry, weight protection, prompt injection defence, data loss prevention, sovereign deployment options.

Sovereign AI options

UK-resident, EU-resident, private cloud, on-premise. Architecture choices assessed against your data location, access and operating requirements.

Managed AI operations

Cluster operations, scheduling, observability, capacity, cost optimisation. So your team focuses on models, not infrastructure.

How We Work

Our approach to AI infrastructure

01
Workload-led design

Start from the model and the throughput targets. Work backwards to the right GPU, network, storage and software stack. Avoid generic templates.

02
Procure at the right price

We work across NVIDIA, AMD, Supermicro, Dell, HPE, Lenovo and the AI-native stack. Vendor-agnostic procurement, transparent margins.

03
Deploy with security and sovereignty

Networking, identity, model security, residency, audit. Production-grade from day one, not retrofitted later.

04
Operate at scale

Managed cluster operations, capacity planning, cost optimisation, model lifecycle, observability. Your team focuses on the AI, not the infrastructure.

Why CloudCoCo

Why AI builders and enterprises choose us

Vendor-agnostic across the stack

NVIDIA and AMD GPUs, multiple storage and networking partners, multiple deployment options. The right architecture, not the most-incentivised one.

Production-ready from the start

Most pilot infrastructure can't carry production. We design for governance, security, sovereignty and operations from day one.

UK delivery and operations

UK-based engineers and operations team. Useful when sovereignty matters and when something goes wrong at 3am.

AI procurement that's actually fair

Transparent pricing, no opaque rebates, no vendor-driven design. We work for the customer, not the manufacturer.