
AI Platforms & Devices
The infrastructure, the procurement vehicle, the endpoint estate and the managed services that AI actually runs on. Sized to your workloads, procured against your existing cloud commitments and operated by the team that designed them.
Why the AI platform decision is the one that locks in cost and risk
The conversation in most boardrooms is about AI use cases. The conversation in most IT leadership teams is about if the platforms underneath can support them. Pilots that ran on borrowed cloud capacity move into production and immediately hit the limits of legacy infrastructure. Public cloud is sometimes the right answer and sometimes the most expensive one. Egress charges, data sovereignty obligations and licence cost shock from incumbents like VMware add variables to a planning conversation that was already crowded. The decision is not only where AI runs. It is what runs it, where it runs and how the run state economics work over the next three years.
The procurement layer has shifted at the same time. AI ISVs are publishing on AWS Marketplace and Azure Marketplace before they go anywhere else. AWS Marketplace operates in 14 regions with 310,000 active customers and a catalogue of more than 10,000 cloud solutions across 50 categories from over 1,600 ISVs. Azure Marketplace offers more than 12,000 apps and services across 100+ countries. Marketplace purchases can be drawn down against existing AWS spend commitments and Microsoft enterprise agreements, simplified license terms and free trials shorten evaluation cycles and consolidated billing puts the AI software bill into the same invoice as the cloud platform underneath. Used well, the marketplaces shorten AI procurement from months to days. Used badly, they create cost sprawl, governance gaps and shadow purchasing.
The endpoint estate is also changing. AI-capable PCs, NPU-enabled laptops, edge GPU servers in stores and branches and intelligent cameras and sensors now sit inside the same fleet as traditional devices. They have to be procured, secured and managed under the same lifecycle and security governance as everything else, but with attention to the new attack surface and the new performance demands. Treating AI devices as a separate problem creates a parallel estate that audit, security and finance all eventually have to reconcile.
SCC delivers AI Platforms & Devices as a single connected category. We design the underlying AI-ready infrastructure across cloud, hosted private and on premises with placement guided by data gravity, latency and egress economics. We operate AWS Private Marketplace and Azure Marketplace services that turn the marketplaces into a governed buying channel for AI tools. We run AI platforms as a managed service across hybrid estates through SCC Hyperscale. And we bring AI-powered devices into your existing fleet under the same governance, lifecycle and security model as the rest of the estate.
Not sure which AI Platforms & Devices service is right for you?
Still not sure? Get a free AI Platform Readiness Review and we will help you map your current state across infrastructure, procurement, operations and devices, then recommend the highest impact starting point.
Trusted partners
The platforms and the devices in this category are delivered through partnerships with the cloud hyperscalers, the AI infrastructure vendors and the device manufacturers most active across UK enterprise, public sector and regulated industry. SCC is vendor-agnostic on the design and procurement decision, so the partner mix follows the workload rather than the catalogue.
Make the AI platform call once, against the right evidence.
If you are sizing AI infrastructure, scoping marketplace procurement, planning AI managed services or refreshing endpoints with AI-capable devices, the most expensive route is to do it as four separate projects. We can review your current state across all four, model the realistic options with the calculator and the renewal guide, and walk you through what a connected AI Platforms & Devices service looks like for your organisation.







