Cloud vs colocation: key questions for IT and infrastructure decisions
Cloud computing and colocation are two common approaches for running business infrastructure in external data centre environments. Cloud services typically run from large-scale cloud data centres, while colocation allows organisations to place their own hardware inside professionally operated facilities. Each model offers different levels of control, flexibility and operational responsibility.
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How secure is cloud computing for critical data?
Security in cloud computing comes down to controls across infrastructure, networks, identity, monitoring, and recovery, with UK data residency included where regulatory or governance requirements depend on hosting location. This FAQ addresses how cloud computing security protects critical and regulated data across infrastructure, networks, identity, monitoring, and recovery controls.
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What is edge colocation and when does it make sense?
Edge colocation places infrastructure across multiple data centre locations to support application performance, connectivity and operational requirements. Instead of relying on a single centralised site, organisations deploy workloads in regional facilities closer to where data is generated or used. This FAQ explains what edge colocation is, how edge data centres work, and when this approach fits infrastructure strategy.
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Where is cloud data stored and how does it work?
Cloud storage services run on physical infrastructure hosted in data centres. While data is accessed through cloud platforms, it is stored on hardware located in specific facilities and regions. This FAQ explains where cloud data is stored, how cloud data storage works, and why location, connectivity and control matter when managing data in the cloud.
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What is hybrid cloud computing and who needs it?
Hybrid cloud computing allows organisations to operate workloads across a combination of private infrastructure, public cloud platforms, and, where required, existing on-premise systems. It is typically adopted when a single environment does not meet operational, regulatory, performance, or continuity requirements. This FAQ explains how hybrid cloud computing works, how it compares with cloud computing vs on-premise infrastructure, and how cloud computing hosting providers and managed services support hybrid environments.
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Why does location matter when choosing a data centre?
Cloud services and digital platforms still depend on physical infrastructure hosted in data centres. Where that infrastructure is located affects how applications connect to users, how networks are routed, and how organisations manage resilience across sites. This FAQ explains why location matters when choosing a UK data centre, how regional data centres support infrastructure strategy, and why many organisations look for facilities close to their operations when placing critical workloads.
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Business benefits of colocation
Colocation allows organisations to place their own servers and IT equipment in a secure, professionally managed data centre environment. Instead of maintaining infrastructure on-site, businesses use a specialist facility that provides power, cooling, connectivity and physical security.
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Colocation data centre pricing: UK cost and ROI
Colocation pricing depends on how infrastructure is deployed, how much power it consumes, and how it is connected. Rather than a single fixed cost, organisations typically assess pricing alongside total cost of ownership (TCO) and return on investment (ROI) to understand long-term value. This FAQ explains how colocation pricing works in the UK, what drives costs, and how organisations evaluate ROI when comparing colocation with other infrastructure options.
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Cloud service models explained: IaaS vs PaaS vs SaaS
Cloud computing services are typically delivered through three main service models. Each model defines which parts of the technology stack are operated by the provider and which remain under the customer’s control. This FAQ explains the differences between infrastructure, platform and software services, and how organisations choose between IaaS, PaaS and SaaS when planning cloud environments.
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What is cloud Infrastructure as a Service (IaaS)?
Cloud infrastructure as a service (IaaS) provides on-demand compute, storage and networking, while leaving you in control of the operating system and application layer. For UK organisations, IaaS decisions often come down to operational ownership, audit readiness and where infrastructure is hosted. This FAQ sets out what IaaS includes, who it suits, how responsibility is typically split, and what to look for when comparing IaaS cloud solutions.
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What is a Tier 1–4 data centre?
Data centre tiers are used to classify infrastructure based on resilience, redundancy and expected uptime. The most widely referenced framework is the tier classification model, which defines four levels of data centre design from basic capacity to highly resilient environments. This FAQ explains how data centre tier classification works, what distinguishes each tier, and how organisations use these classifications when selecting infrastructure.
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Is colocation right for my business?
Colocation is used by organisations that need reliable infrastructure without operating their own data centre facilities. The most geographically diverse colocation provider in the UK, Pulsant offers purpose-built data centre environments where businesses can place equipment while retaining control over systems, configuration and performance. This FAQ explains why businesses use colocation, when it makes sense, and how to assess whether it fits your infrastructure and operational requirements.
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Edge Data Centres vs Traditional Data Centres: What's the Difference?
The distinction between edge data centres and traditional data centres matters more as businesses move away from centralised infrastructure toward models that prioritise speed, proximity and flexibility. Our platformEDGE network brings together 14 interconnected UK edge data centres, connected by a private 100Gbps network and accessible from every major UK region. This FAQ covers the key differences and how they affect infrastructure decisions.
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How AI and Cloud Computing work together
AI workloads place demands on infrastructure that traditional cloud environments were not originally designed to meet. As UK organisations move from AI experimentation into production, the relationship between AI and cloud computing, where workloads run, how data moves, and how performance and compliance are maintained, becomes a practical infrastructure question. This FAQ covers how AI and cloud computing work together, and what that means for how infrastructure needs to be designed and placed.
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How to choose a UK colocation provider
Choosing the right colocation provider affects how your infrastructure performs, scales and is governed over time. With a range of data centre colocation providers across the UK, the decision comes down to more than price. Location, connectivity, resilience, certifications and the provider's ability to grow with your business all play a role. Pulsant operates 14 interconnected data centres across the UK, making it the most geographically diverse colocation provider in the UK. This FAQ covers what to look for and how to evaluate your options.
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What security should a data centre provide?
Data centre security covers everything from who can walk through the door to how the facility responds to a power failure at 3am. For organisations housing critical infrastructure, understanding what security a data centre should provide is as important as evaluating connectivity or pricing. Pulsant operates 14 UK data centres built to enterprise security standards, holding ISO 27001, PCI DSS and Cyber Essentials accreditations across the estate. This FAQ covers the security layers you should expect from a well-run facility
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Colocation data centre pricing: UK cost and ROI
Colocation pricing depends on how infrastructure is deployed, how much power it consumes, and how it is connected. Rather than a single fixed cost, organisations typically assess pricing alongside total cost of ownership (TCO) and return on investment (ROI) to understand long-term value. This FAQ explains how colocation pricing works in the UK, what drives costs, and how organisations evaluate ROI when comparing colocation with other infrastructure options.
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Preventing data breaches in cloud & colocation
Preventing data breaches in cloud and colocation environments takes more than adding another security product. Risk often builds through weak access controls, inconsistent settings, poor visibility across platforms, or gaps in the way sensitive data is handled. Those issues become harder to manage when workloads are spread across cloud, colocation, and hybrid estates. These FAQs look at practical ways to reduce breach risk across modern infrastructure. They cover common threat areas, stronger security controls, and how resilient UK-based environments can support governance, containment, and recovery.
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What is managed IaaS
Managed IaaS sits between self-managed public cloud and fully hands-on infrastructure. It gives organisations on-demand infrastructure with operational support around the service, which is why it often comes into the conversation when teams are reassessing cost, performance, or control. These FAQs explain what managed IaaS includes, how it differs from DIY cloud, and why cloud repatriation has become a more active strategy for some workloads. They also show how UK-hosted infrastructure can support sovereignty, compliance, and more predictable operations.
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What are the biggest data centre security threats today?
Data centre security threats are increasingly driven by highly interconnected infrastructure. Security risks now extend beyond traditional firewalls to include APIs, cloud integrations, remote management tools, and building systems. The most significant threats fall into two categories: cybersecurity attacks (such as DDoS and API exploitation) and physical security risks (such as unauthorised access and compromised building management systems). Even small configuration errors can now create serious vulnerabilities due to system interdependence.
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Choosing the best cloud service for enterprise AI workloads
Choosing a cloud service for AI workloads at enterprise scale involves more than comparing GPU availability or price per hour. Data location, network performance, security architecture and how a workload will actually run in production all shape whether a platform holds up once AI moves from pilot to live use. Pulsant supports enterprise AI workloads across cloud services hosted in UK data centres, with private connectivity between sites through Edge Fabric. This FAQ covers what to look for when evaluating cloud based AI platforms and how infrastructure decisions affect performance, security and cost.
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What is managed cloud?
Managed cloud combines cloud infrastructure with day-to-day operational support delivered by the provider. Patching, monitoring, capacity planning and incident response sit with the provider, so internal teams are not carrying the full weight of running the environment themselves. Pulsant delivers managed cloud through UK-hosted cloud services, backed by connectivity across 14 UK data centres. This FAQ covers what managed cloud includes, how to choose a provider, and why it suits organisations with strict operational or compliance requirements.
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Can AI replace cloud computing or engineers?
AI is increasingly framed as a replacement for the infrastructure and people that run it, but the two sit in different layers of the stack. AI runs on cloud infrastructure and depends on it, and the tasks cloud engineers handle largely fall outside what AI systems are built to do. Pulsant supports both AI workloads and the underlying infrastructure they depend on through UK-hosted cloud services. This FAQ answers whether AI can replace cloud computing, cloud engineers, or both.
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What is managed hosting?
Managed hosting means an external provider delivers and manages infrastructure, servers, storage and networking, in their own data centre facilities, not infrastructure you own and place there yourself. It's a broad, long-standing industry term, and what it includes varies significantly between providers. This FAQ explains what managed hosting means, how it compares to colocation and cloud, and what to check when evaluating a provider today.
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What is digital content delivery?
Digital content delivery is the process of getting web pages, media, applications and data to users with speed and reliability, regardless of where they are. As traffic volumes grow and user expectations for speed increase, how that content moves, and where it's served from, has a direct effect on performance. Pulsant supports content delivery performance through its Edge Ecosystem, connecting UK data centres via 100Gbps private fibre and offering access to more than 40 networks, major hyperscalers and international carriers. This FAQ explains what digital content delivery involves and why the underlying infrastructure matters.
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What is carrier neutral colocation?
Carrier neutral colocation lets you host infrastructure in a shared facility without being tied to a single network provider. Pulsant's UK data centres operate on a carrier neutral model, connected by its private platformEDGE network, giving organisations direct access to multiple carriers, public cloud platforms and internet exchanges within the same site. This FAQ explains what carrier neutral colocation means and how it affects network flexibility, resilience and cost.
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Understanding data centre compliance
Data centre compliance covers three connected areas: physical facility controls, information security management, and data protection law. Pulsant addresses all three through its UK data centre estate, which holds ISO 27001, PCI DSS and Cyber Essentials certifications and accreditations, though the precise scope varies by standard and service. This FAQ explains what digital compliance means for data centre infrastructure, how GDPR and data residency apply, how responsibilities differ between service models, and what to check when evaluating a provider.
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What is server colocation?
Server colocation means placing your organisation's own servers, storage and networking equipment inside a professional data centre. Pulsant operates 14 interconnected UK data centres, holding ISO 27001 certification across the estate. This FAQ covers what server colocation means, how it works, what it costs, and how it compares to other hosting models.
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How does colocation security work in a shared data centre?
Colocation means sharing a facility with other organisations, so security has to work differently from a single-tenant environment: your equipment needs to be protected from the facility's risks and from every other customer housed alongside it. Pulsant secures its 14 UK data centres with tenant separation built into the facility design. For the baseline physical and cyber controls any data centre should have, see our data centre security FAQ. This FAQ covers what changes specifically in a shared colocation environment, and what to ask a provider before signing.
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Data centre security threats: what to watch for
Data centre security now spans far more than the perimeter and a firewall policy. Interconnected systems, APIs, cloud endpoints and building management tools all create points that can be targeted, misconfigured or exploited. Pulsant secures its 14 UK data centres through layered physical controls, accredited management systems and security services across its cloud and connectivity offering. This FAQ covers the main data centre security threats businesses face and how they can reduce their exposure.
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What is a data centre?
A data centre is a facility a business uses to house its IT equipment, including servers, storage systems and networking hardware. AI workloads, cloud adoption and virtualisation are increasing the computing capacity organisations need, along with the power density, cooling and resilience expected from the facilities supporting it. Pulsant's 14 UK data centres provide that infrastructure across Scotland, the North, the Midlands and the South. This FAQ covers the meaning of a data centre, what makes one reliable and how data centre services are priced.
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What is colocation?
Colocation means housing your organisation's IT infrastructure, including servers, networking equipment and storage, within a third-party data centre, not on your own premises. It gives businesses access to enterprise-grade power, cooling, security and connectivity without the capital cost of building and running those facilities themselves. Pulsant provides colocation across 14 UK data centres connected through its national Edge Fabric network. This FAQ covers how colocation works, its main benefits and what to check before choosing a provider.
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What rack space do I need? Full rack vs quarter rack colocation
Colocation space can range from part of a rack to a full rack, cage or private suite, depending on the amount of equipment, power and separation an organisation needs. Pulsant offers options including full, half and quarter racks, cages and private suites across its UK data centre estate, with availability varying by facility. This FAQ explains what colocation space means, how full and quarter racks compare, and how to work out what you need.
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Business benefits of cloud computing
Cloud computing gets pitched as an obvious win, but the real benefit depends on the workload and how it's deployed. Scalability, flexibility and reduced infrastructure management are genuine advantages, and cloud can meaningfully improve resilience and security when it's built into the strategy from the outset. This FAQ covers the main business benefits of cloud computing, the trade-offs worth weighing, and how to decide what should move to the cloud.
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What is an AI inference platform and why does it matter for workload migration?
An AI inference platform is the infrastructure and software that runs a trained AI model against new data, generating outputs such as predictions, text or images for live applications. As more organisations move AI from pilot projects into live use, where and how inference runs becomes an infrastructure decision that affects compute, connectivity, data location and migration planning. This FAQ explains what an AI inference platform is, where it fits in enterprise infrastructure, and what to assess before migrating an AI workload.
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Q: Can AI replace cloud computing?
A: No. AI applications run on cloud infrastructure such as compute, storage and networking. Training and running AI models requires substantial processing power and data storage, which cloud platforms provide. AI is a workload that depends on cloud computing, not an alternative to it.
Q: Does AI use cloud computing?
A: Yes, extensively. Most AI development and deployment happens on cloud infrastructure because of the scale of compute required, particularly for training large models. Inference, running a trained model in production, also depends on cloud or colocated infrastructure to handle requests reliably and at speed.
Q: Will cloud computing be replaced by AI?
A: This misreads the relationship between the two. Cloud computing is the infrastructure layer; AI is a set of applications and workloads that run on it. As AI adoption grows, demand for cloud infrastructure grows with it, since more AI workloads mean more compute, storage and networking capacity required to support them.
Q: Will cloud engineers be replaced by AI?
A: AI tools can automate specific tasks within cloud engineering, such as monitoring, anomaly detection and some configuration work. What they do not replace is the judgement needed to design infrastructure architecture, manage security posture, respond to complex incidents, and decide where workloads should sit. Those responsibilities require context and accountability that automated tools do not provide.
Q: How is AI changing the role of cloud engineers?
A: AI is shifting parts of the day-to-day workload. Tasks such as routine monitoring, alert triage and basic capacity planning can be supported or partially automated by AI tools, freeing up engineering time for architecture decisions, security work and troubleshooting that require human judgement. The role is changing in emphasis, not disappearing.
Q: What is the difference between AI and cloud computing?
A: Cloud computing provides on-demand infrastructure, including compute, storage and networking, delivered as a service. AI refers to systems that can perform tasks such as pattern recognition, prediction or automation. AI applications are typically built and run on cloud infrastructure, making cloud computing the platform and AI one of many possible workloads running on it.
Q: Can AI manage cloud infrastructure without human oversight?
A: Some elements of cloud infrastructure management can be automated using AI, including anomaly detection, resource scaling and pattern-based alerting. Full autonomous management is not yet reliable enough for production environments handling business-critical workloads. Human oversight remains necessary for decisions with security, compliance or cost implications.
Q: Does using AI reduce the need for cloud infrastructure?
A: The opposite is generally true. AI workloads, particularly training and inference at scale, are resource-intensive and increase demand for compute, storage and networking capacity. Organisations adopting AI typically need to plan for additional infrastructure capacity, since existing capacity was rarely sized with AI workloads in mind.
Q: Where does AI fit into a cloud infrastructure strategy?
A: AI should be treated as a workload with its own infrastructure requirements, similar to other business-critical applications. That means considering compute capacity for training or inference, data storage and movement, security controls specific to AI systems, and where each part of the workload should run based on latency and compliance needs.
Q: Should businesses be planning cloud infrastructure differently because of AI?
A: Yes, to the extent that AI workloads carry different demands than typical applications, including variable compute needs, large data volumes, and latency sensitivity for inference. Businesses adopting AI at scale need infrastructure planning that accounts for these characteristics, since existing cloud capacity and architecture will not automatically accommodate AI workloads without adjustment.
Planning infrastructure for AI workloads? Get in touch with our team to discuss how your cloud environment can support AI alongside existing applications.
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